Neurology services

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility, MRI Centre, aims to catalyse novel and translational research using MRI. We offer a state-of-the-art 3 Tesla GE SIGNA Premier system-wide bore gantry and high-performance XT gradients. We support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits and module technical support. For more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility, MRI Centre, aims to catalyse novel and translational research using MRI. A unique next-generation clinical 7 Tesla Siemens MAGNETOM Terra.X. equipped with an ultra-high field scanner also offers cutting-edge gradient performance (130 mT/m at 250 T/m/s), parallel transmission, as well as deep learning-based acceleration and denoising for improved image quality. Micrometre resolution in vivo for microstructural imaging and layered fMRI. We support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits and module technical support. For more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc

Karolinska Institutet (KI)

The Unit: Chemical Biology Consortium Sweden (https://www.scilifelab.se/units/cbcs/) The infrastructure is part of Science for Life Laboratory (SciLifeLab) which is an academic collaboration between Swedish universities (including Karolinska Institutet) and a national research infrastructure with a focus on life science. Chemical Biology Consortium Sweden (CBCS) is a national research infrastructure offering an extensive portfolio of services - from computational and organic chemistry to phenotypic small molecule screens in cells and model organisms, cell painting and functional precision medicine. The mission of CBCS is to provide a state-of-the-art platform and expertise for the generation of high-quality bioactive chemical tools (small organic molecules) for applications within life science research in general and with the ultimate goal to explore complex biology. Our units comprise compound handling labs (hosting the SciLifeLab Compound Collection of ca 350,000 molecules), screening labs (microtiter format liquid handling robotics and a wide range of plate readers), and chemistry labs (equipment and instrumentation for organic chemistry synthesis and analysis). The service: Access to compound collection https://www.cbcs.se/the-compound-collection The Scilifelab Compound Collection is managed by the Compound Center at CBCS KI, and is based on donations of high-quality sets from the pharmaceutical industry (Biovitrum, Karobio, Orexo/Biolipox, KDev) and has been developed and expanded with compounds from various commercial compound vendors. The compounds can be readily available in assay-ready plates through acoustic nano-litre scale liquid dispensing or in 96-tube racks; compounds are stored at 10mM concentration in DMSO solution at - 20 °C under humidity control. We provide: o Management, storage, and processing of solids and liquids. o Compound delivery and interface with key customers. o Performance of instruments and automation that support these operations. o Analytical techniques used for quality assurance. o Sample informatics, including registration and compound quality data.

Karolinska Institutet (KI)

The Unit: Chemical Biology Consortium Sweden (https://www.scilifelab.se/units/cbcs/) The infrastructure is part of Science for Life Laboratory (SciLifeLab) which is an academic collaboration between Swedish universities (including Karolinska Institutet) and a national research infrastructure with a focus on life science. Chemical Biology Consortium Sweden (CBCS) is a national research infrastructure offering an extensive portfolio of services - from computational and organic chemistry to phenotypic small molecule screens in cells and model organisms, cell painting and functional precision medicine. The mission of CBCS is to provide a state-of-the-art platform and expertise for the generation of high-quality bioactive chemical tools (small organic molecules) for applications within life science research in general and with the ultimate goal to explore complex biology. Our units comprise compound handling labs (hosting the SciLifeLab Compound Collection of ca 350,000 molecules), screening labs (microtiter format liquid handling robotics and a wide range of plate readers), and chemistry labs (equipment and instrumentation for organic chemistry synthesis and analysis). The service: Assay development & highthroughput screening We provide expertise and technical support in the following areas: o Access to small-molecule compound libraries and robotic instrumentation. o Expertise in assay development and automation. o High-throughput screening: biochemical target-based, cell-based and phenotypic. o High-throughput imaging technology. o Computational chemistry and modelling. o Medicinal chemistry expertise. o Chemical Biology Platform. Perspective use case: Purpose The Cell Painting technology can be used to visualize many cellular parameters simultaneously, using organelle-specific fluorescent dyes and high-content imaging. This approach allows you to systematically visualize how cell morphologies react to certain stimuli, like chemical perturbations. It is thus possible to foresee in the near future that the CP technology is a valuable technology to create large systematic AI minable cell morphology resources and customized validation data sets for profiling small molecules and other treatment modalities. Development of new AI software for morphology profiling, cell segmentation for validation sets for functional perturbation assays are needed for future precision medicine. Description of service/ technology: Cell painting, high-content imaging, high-throughput screening Drug library design and delivery, cell culture and immunofluorescence staining Dataset generation, data analysis AI software development Expected outcome: New dataset generation to train AI algorithm on the different type of images generated. Improvement of AI algorithm.

Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)

The collection of data from various sources (devices, files, interconnected services, etc.) is a complex step and typically falls outside the core business of medical sector companies, which aim to focus on the analysis of this data. How can the service help you? The CETIC provides access to a highly customizable catalog of tools for engineering medical data collection, storage and analysis. These tools enable : (a) automation of the collection of heterogeneous medical data from virtually any type of source (like IoT, API, files, remote repositories or databases, propriatary equipments, etc.) and its mapping to fully-customisable data representations enriched with semantics (DMWay tool) (b) a scalable and persistent data storage (c) easy yet powerful data analysis (TSANO tool) How the service will be delivered? It depends on the customer's need Method reference: https://asset.cetic.be/en/dmway/ https://www.cetic.be/analyse-prescriptive-au-service-de-industrie40

Centre Hospitalier Universitaire De Rennes (CHU RENNES)

Kit preparation; reception of sample +/- inventry +/-relabelling +/- entry of additional medical data +/- managing of consents; aliquoting; ficoll; cell count viability; extraction (RNA, DNA); freezing and conservation (-150°C, -80°C, -20°C, +4°C, nitrogen); cell culture and maintenance; preparation of parafin from fresh or frozen tissues; biobank, biological sample, aliquot, storage, tissue, cell, blood, urine

Univerzita Komenskeho V Bratislave (UK BA)

The laboratory performs research and scientific activities in the research of autonomic nervous system regulation. It uses Finometer (FMS) and Nexfin (Edwards Lifesciences) devices, which are used for non-invasive beat-to-beat blood pressure monitoring using volume-clamp method, and MedGem (Microlife) for determination of basal metabolism. It uses ECG Cardiofax 9620M (Nihon Cohden) for monitoring the electrical activity of the heart, RespiTrace (NIMS) for non-invasive respiratory monitoring by impedance method using chest and abdominal belts, CardioScreen 2000 (Medis) for non-invasive monitoring of various parameters associated with pumping function of the heart (systolic volume, systolic time intervals, etc.). It uses VaSera VS-1500N (Fukuda Denshi) characterization of arterial stiffness, EndoPAT 2000 (Itamar Medical) - characterization of endothelial dysfunction, InBody J10 (Biospace) - analysis of body composition, ECG (BTL; Pola V8) - non-invasive continuous bio signals monitoring, Finometer (Finapres medical systems), blood pressure, Flex Comp Infinity, Thought Technology for measuring the electrodermal activity, respiration, peripheral temperature, Neuroptics PLR200, pupilometry, Eyetracking (Pupil Labs) for eye movements, InBody 120 - body composition analysis.

Karolinska Institutet (KI)

## Overview This service supports the development and validation of biomedical signal processing pipelines for healthcare applications. SMAILE at Karolinska Institutet provides guidance for processing a range of biosignals, including ECG, EEG, EMG, respiration, accelerometers, gyroscope, and electrical bioimpedance. The focus is on signal filtering, feature extraction, event detection, and pipeline validation, aligned with clinical research standards. ### We provide expertise in: • Biomedical signal filtering and preprocessing • Feature extraction and clinical event annotation • Signal Analysis and Modeling • Quality assurance and reproducibility ### How can the service help you? Many early-stage companies and research projects lack robust, validated signal pipelines. This service enables reproducible analysis, clinical readiness, and regulatory alignment for biosignal-driven products and studies. ### How will the service be delivered? Can be delivered virtually or in conjunction with lab access. Clients share sample datasets, objectives, and processing goals. Duration: 2–6 weeks based on complexity. ## Additional Information ### Provider Description SMAILE provides advanced support in biomedical signal analytics, with experience in wearable health monitoring, digital phenotyping, and clinical-grade biosignal systems. ### Technical Description Pipelines are constructed and validated using Python (SciPy, MNE, NeuroKit), MATLAB, or other signal tools. ### Service Customization Clients may request focused support for real-time processing, offline batch analysis, or integration with AI modules. Output formats, sampling rates, and noise tolerance are adjustable.

Universita Degli Studi Di Pavia (UNIPV)

This service offers the construction and simulation of brain digital twins for neurological and neuropharmacological applications. The simulations are typically applicable to single subject data for developing personalized medicine and pharma. Method description: Raw structural and functional data is preprocessed and analyzed to create brain connectivity data. The computational framework is tuned against experimental data to simulate brain dynamics and optimize physiological parameters, e.g., excitatory and inhibitory activity. In order to obtain personalized digital brain twin single-subject data must be used. Method reference: Local method respecting General Data Protection Regulation (GDPR)

Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)

**Who Can Benefit:** - Clinical Researchers and Investigators: For gaining insights into the feasibility of proposed studies and enhancing study designs with practical clinical input. - Healthcare Institutions: To expand research capabilities by connecting with technical and clinical experts and facilities. - Research and Development Teams: For testing new technologies or methodologies in applicable clinical contexts, ensuring innovative solutions are viable and effective. **Key Features:** - Technical Feasibility Assessment: Organizes and conducts comprehensive technical feasibility studies to evaluate the practicality and potential of clinical research projects. - Connection to Clinical Personnel: Facilitates collaboration between researchers and clinical experts at University Clinic Erlangen, ensuring access to expertise and resources necessary for study success. - Access to Real-Life and Laboratory Test Environments: Provides opportunities to conduct studies within associated clinics, leveraging previous experience in cardiology, neurology, and biomechanics to ensure practical and applicable results. **Possible Applications:** - Project Feasibility Evaluation: Assists in determining the feasibility of clinical research projects, helping to identify potential challenges and solutions early in the development phase. - Research Collaboration: Enhances research outcomes through the integration of clinical expertise and real-world testing environments, ensuring studies are rooted in clinical reality. **Who We Are:** The **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **"Center for Sensor Technology and Digital Medicine" (CEMDIS)** in cooperation with the Universitätsklinikum Erlangen and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions für real-life healthcare. Located at the Universitätsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).

Hospices Civils De Lyon (HCL)

Formative evaluation of surgical robot prototype (under development) in order to improve usability (according to IEC 62366-1). This packaged service includes : - Operating room rental - Participants (healthcare professionals) recruitment within our hospital - Protocol elaboration - User testing organization and moderation - Analysis of collected data from a human factors perspective - Evaluation report including design improvement recommendations and potential new use-related risks to mitigate Prices range is indicative and depends on testing protocol complexity and particpants number

Hospices Civils De Lyon (HCL)

Technical testing of AMR (Autonomous Mobile Robot) for logistics: - performance and acceptability in realistic environment with representative users This packaged service includes : - Room rental for testing - Participants (healthcare professionals) recruitment within our hospital if required - Protocol elaboration - Testing phase - Evaluation report, including recommendations if applicable Prices range is indicative and depends on testing protocol complexity and particpants number

Hospices Civils De Lyon (HCL)

Technical testing of surgical robot prototype in order to assess : - performance in realistic settings (using phantoms) - technical integration within operating theatre (interoperability, space constraints, etc.) This packaged service includes : - Operating room rental - Participants (healthcare professionals) recruitment within our hospital if required - Protocol elaboration - Testing phase - Evaluation report, including recommendations if applicable Prices range is indicative and depends on testing protocol complexity and particpants number

Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)

Services: - Full body motion analysis on a treadmill - Gait analysis with real-time feedback in virtual reality environments

Centre Hospitalier Universitaire De Rennes (CHU RENNES)

Human Imaging platform, imaging, multimodal; MRI 3T Magnetom Prisma Siemens, MRI Factice PST, fNIRS, EEG Brainproducts, compatible with MRI, fNIRS (near-infrared spectroscopy) NIRx, compatible with MRI, Dual/quacores blades for computing cluster (480 cores), Hybrid imaging systems (EEG/MRI, NIRS/MRI) for methods development, MRI acquisition methods development, neurofeedback protocols development, data treatment & analysis methods development; Keywords: platform, imaging, MRI 3T, fNIRS, EEG, multimodal, hybrid, neuroinformatics, neuroimaging, brain

Univerzita Komenskeho V Bratislave (UK BA)

Cell microscopy - Confocal laser scanning microscop Zeiss LSM 880 (Fluorescence microscopy, Real-time recording, Time-resolved microscopy, Whole tissue scanning, Image processing)

Univerzita Komenskeho V Bratislave (UK BA)

Small animal MRI imaging: Bruker BioSpec 70/20 USR 7 T preclinical (MRI, MRS, MRSI, relaxometry, iron quantification, Image processing and analysis)

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

Neuro Imaging platform includes: -MEG/EEG (Elekta Neuromag) : 204 gradiometers, 102 magnetometers, 128 EEG channels. - MRI/MEG-compatible EEG amplifier (Brain Products) : 64 channels. - MRI 1.5T (Siemens Espree) - Audio, visual and sensitive stimulation equipment - Dedicated HPC workstation for real-time signal processing The service offers to conduct a clinical study with MEG/EEG/MRI Imaging to generate new brain-related data: - Data acquisition & analysis +/- technical expertise. - Clinical and regulatory support to set up and submit the clinical study within French regulatory framework. - Example: provide new clinical data to assess/validate the performance/robustness of an AI system in a specific intended use Keywords: Neuro Imaging; MRI; MEG; imaging data acquisition

Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)

Overview This service offers a specialized Mood Induction and Depression Study Laboratory equipped with state-of-the-art multimodal sensor technology. It provides a highly controlled environment for conducting psychological interventions and assessing emotional responses or depressive symptoms, particularly through mobile health applications. By integrating high-resolution video, depth sensing, and advanced non-contact radar systems, we capture fine-grained behavioral responses, including facial expressions and body posture. The laboratory also records critical physiological biosignals such as muscle activity (EMG), cardiac rhythms (ECG), and respiration. This service enables startups and healthcare developers to thoroughly evaluate digital therapeutics, affective computing models, and remote monitoring tools in a standardized, clinically relevant setting. How can the service help you? For companies developing mobile mental health interventions, affective computing algorithms, or non-contact vital sign monitors, acquiring synchronized behavioral and physiological data is a major challenge. This service provides high-fidelity, ground-truth data for mood induction and depression studies. After using our facility, you receive a comprehensive dataset that links your interventions to precise physical, behavioral, and autonomic responses, letting you validate your solutions and refine AI-driven assessments. How will the service be delivered? The service is delivered physically at our specialized laboratory facilities. Execution time depends on the specific intervention protocols and the cohort size. Our expert team configures the recording infrastructure—including camera arrays, radar systems, and biosignal hardware—and integrates them with the workflows under evaluation. Data collection is conducted under strict ethical and clinical guidelines. Upon completion, clients are provided with securely processed, synchronized, and annotated datasets. Additional information Provider description We represent a leading research node within the TEF-Health consortium, specializing in artificial intelligence, machine learning, and digital health innovations. Our team possesses deep expertise in automated movement analysis, multimodal behavioral tracking, and complex data synchronization. With advanced facilities dedicated to biomedical engineering and affective computing, we offer SMEs expert guidance and state-of-the-art testing environments to develop, validate, and certify AI-driven healthcare solutions and wearable technologies. Technical details The laboratory is built around a comprehensive suite of contact and non-contact sensors designed to monitor mood and depression-related markers seamlessly during mobile app interventions. Behavioral & Posture Tracking: The setup features 2 high-resolution RGB Sony cameras and 1 Azure Kinect depth camera for robust 3D human pose estimation and facial expression analysis. This is supplemented by 2 standard webcams and a wireless microphone pair for comprehensive audio-visual tracking. Mobile Ecosystem: Dedicated devices (2 iPhones, 1 iPad, 1 Samsung tablet) are maintained specifically for deploying and testing iOS and Android mobile health (mHealth) applications. Advanced Radar Systems: We utilize non-contact continuous-wave (CW) radar systems—including a 61 GHz EmRad system (TU Hamburg) and a 24 GHz GUARDIAN system (FAU Erlangen-Nürnberg)—to enable unobtrusive vital-sign and micro-movement monitoring. Physiological & Biological Measurement: Standardized assessment of biosignals (EMG, ECG, and RSP) is conducted. The laboratory also supports the collection of biological specimens, processed in accordance with Bio S2 standards. Software Integration: Data acquisition and analysis are managed utilizing Biopac Acqknowledge alongside custom multimodal synchronization pipelines. Service customization The service is highly adaptable to the specific needs of your clinical study or product validation. Clients can choose to utilize the full multimodal suite or select specific sensing modalities—for instance, relying solely on non-contact radar and depth cameras for privacy-preserving monitoring, or focusing entirely on app-based interactions paired with high-fidelity ECG. Camera configurations, mobile app integration steps, and biological sampling protocols can all be tailored to meet your specific technical requirements.

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

Motion laboratory rental for prototype testing : usability/technical testing and evaluation of medical device [no patients included]. Examples: Study of an exoskeleton's movements ; analysis of "fine" surgical robots mouvements. Motion lab equipped with: - 8 infrared cameras, 2 high-resolution cameras, 2 plantar pressure sensors - Wireless pressure sensors and non-invasive electromyographic sensors (system Cometa) - GAITrite system (Spatio-temporal gait parameter analysis system) - Dedicated workstation and data-storage for daily-use analysis Keywords: motion; rental; technical testing; medical device evaluation

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

Within the motion analysis laboratory, this service can offer: 3D motion analysis system: - full body motion analysis - Gait analysis thanks to a full GAITrite system - definition of an anatomical model - motion sequence validation with an exoskeleton - movement tracking of robotics Data acquisition can be completed with data analysis service. Clinical and regulatory support to set up and submit the clinical study within French regulatory framework. Examples: clinical study to validate an exoskeleton on patients ; to validate a rehabilitation device on patients, ... Keywords: motion; GAIT analysis; robotics; exoskeleton; medical device validation

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

Neuro Imaging platform includes: -MEG/EEG (Elekta Neuromag) : 204 gradiometers, 102 magnetometers, 128 EEG channels. - MRI/MEG-compatible EEG amplifier (Brain Products) : 64 channels. - MRI 1.5T (Siemens Espree) - Audio, visual and sensitive stimulation equipment - Dedicated HPC workstation for real-time signal processing The service offers to conduct a clinical study with MEG/EEG/MRI Imaging to generate new brain-related data: - Data acquisition & analysis +/- technical expertise. - Clinical and regulatory support to set up and submit the clinical study within French regulatory framework. - Example: provide new clinical data to assess/validate the performance/robustness of an AI system in a specific intended use Keywords: Neuro Imaging; MRI; MEG; imaging data acquisition

Universita Degli Studi Di Pavia (UNIPV)

This service offers the construction and simulation of neurons and micro-circuits for neurological and neuropharmacological applications. The models can be combined to develop and simulate brain digital twins of neuropathologies. Method description: Customization of micro-circuits tailored to specific pathological and/or pharmacological needs. These circuits will be refined and optimized for simulations, with the resulting data integrated into a clinical framework and/or used to model pathological behaviors in a virtual brain twin. Method reference: Local method respecting General Data Protection Regulation (GDPR).

Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)

**Service Keywords:** Expertise in Human Movement, Neurological Diseases, Project Design, Clinical Study Design, Scietific-Technical Constulting, Data Evaluation, Data Acquisition, Technical Support, Performance Evaluation/Reporting, **Equipment:** - 10x Vero Cameras (infrared) - 2x VUe Cameras (visible) - 2x AMTI Optima Pressure Plates - Cometa Wave Plus (EMG): 12x MiniWasve EMG Sensors, PICO EMG Sensors - 2x Blue Trident IMU (low and high g Accelerometer, Gyroscope, Magnetometer) **Who Can Benefit:** - Data Scientists and AI Researchers: To obtain high-quality datasets for training and validating AI models that can identify and predict gait abnormalities and differentiate between various movement disorders. For designing, implementing, and testing algorithms that automate the analysis of gait patterns, thereby improving efficiency and accuracy. - Healthcare Technology Innovators: To integrate AI-driven insights into wearable devices or diagnostic tools that enhance patient monitoring and care delivery. - Clinical Researchers: To explore AI applications in clinical trials, enhancing understanding of treatment impacts on gait and mobility in various disorders. - Software Developers: For creating user-friendly AI software interfaces that clinicians can use to easily interpret results and apply AI insights to patient care. - Rehabilitation Professionals: To utilize AI-enhanced feedback for developing adaptive rehabilitation protocols that respond to instrumented changes in gait patterns. - Biomedical Engineers: For advancing AI-driven biomechanical analysis tools that can be used in designing prosthetics, orthotics, and assistive devices. **Key Features:** - User-Friendly Interface: Intuitive software interface for both technical and non-technical users, ensuring ease of use for engineers, clinicians, and other healthcare personnel. - Comprehensive Reporting: Provides detailed reports and visualizations of gait characteristics, such as stride length, speed, and variability, to quantify gait patterns and draw clinically relevant conclusions. - Experienced Personnel: Gain access to a team of specialists with extensive experience in analyzing gait and movement patternsassociated with neurological conditions. Our experts possess in-depth knowledge and skills to provide accurate assessments and valuable insights, supporting the development of your application in the field of neurological disorders. - Directly Attached to Clinic: Patients and physicians can easily access the state of the art facility for gait and movement analysis. **Who We Are:** The **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **"Center for Sensor Technology and Digital Medicine" (CEMDIS)** in cooperation with the Universitätsklinikum Erlangen and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions für real-life healthcare. Located at the Universitätsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).

Univerzita Komenskeho V Bratislave (UK BA)

Full-service metabolomics analysis in-vitro and ex-vivo using NMR spectroscopy. Proficiency in instrumentation performance, metabolomic measurement protocols and data analysis for clinical, academic and indystry applications.

Karolinska Institutet (KI)

The Unit: Clinical Genomics Stockholm (https://www.scilifelab.se/units/clinical-genomics-stockholm/) This infrastructure is part of Science for Life Laboratory (SciLifeLab) which is an academic collaboration between Swedish universities (including Karolinska Institutet) and a national research infrastructure with a focus on life science. Clinical Genomics Stockholm unit is a research infrastructure for large-scale, genomics-based analyses using next generation sequencing technologies. The unit assists in translational research projects, in the translation of genomics-based tools to routine clinical care and also aims to improve the capability for national microbial surveillance and for pandemic preparedness. The Service: Non-human genome sequencing Sequencing of bacterial or viral whole genomes with the possibility of sequence analysis and strain typing. Sequencing of SARS-CoV-2 amplicons. Sequencing of metagenome samples (with PCR-free protocol). This service encompasses: o Consultation (Project design, Target capture design) o Sample management o DNA& RNA sequencing (microbial genomes, metagenomics) o Bioinformatics (Bioinformatic analysis on data generated at CG) Equipment Our unit has access to specialized equipment that enable us to factilitate the translation of new high-throughput techniques into clinical use. These include, but are not restricted to: • Various automatic robotic systems (BRAVO NGS Workstation, Hamilton NGS Star) • Various systems for QC, quantification and fragment analyses (TapeStation, Quantification using fluorescent assay (Qubit, Quantit)) • Instrumentation for real time PCR and ddPCR (BioRad qPCR) • Instrumentation for Multispectral imaging (Saphyr optical mapper) • Sequencing platforms: o Illumina (NovaSeq 6000, NovaSeq 6000 Dx, NovaSeq X) o Nanopore (PromethION “access via NGI”) o PacBio (Revio)

Karolinska Institutet (KI)

The Unit: Chemical Biology Consortium Sweden (https://www.scilifelab.se/units/cbcs/) The infrastructure is part of Science for Life Laboratory (SciLifeLab) which is an academic collaboration between Swedish universities (including Karolinska Institutet) and a national research infrastructure with a focus on life science. Chemical Biology Consortium Sweden (CBCS) is a national research infrastructure offering an extensive portfolio of services - from computational and organic chemistry to phenotypic small molecule screens in cells and model organisms, cell painting and functional precision medicine. The mission of CBCS is to provide a state-of-the-art platform and expertise for the generation of high-quality bioactive chemical tools (small organic molecules) for applications within life science research in general and with the ultimate goal to explore complex biology. Our units comprise compound handling labs (hosting the SciLifeLab Compound Collection of ca 350,000 molecules), screening labs (microtiter format liquid handling robotics and a wide range of plate readers), and chemistry labs (equipment and instrumentation for organic chemistry synthesis and analysis). The service: Open access to instrumentation Possibility to rent specialised laboratory equipments, and also to get your own equipment tested by our team of scientists and lab experts. Scientific writing support and reporting can also be offered if needed.

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

Conduct an interventional clinical study within clinical research facility CEA-Clinatec : Operating room and hospitalisation room, with access to Grenoble-Alpes University Hospital's network of clinicians. Clinical and regulatory support to set up and submit the clinical study within French regulatory framework. Operating room equipped with: - Neuro navigation robotic system ROSA - Intraoperative 1,5T MRI (Espree, Siemens): positioned on a rail to go into the operating room during surgery - Mobile X-ray unit (general Electric) - Stereotaxis interventional radiography chain (Apelem) Keywords: operating room; clinical study; surgery; neurology; medical device validation

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

Facility rental for: - protoype testing: usability/technical testing and evaluation of medical device [no patients included] - MRI compatibility evaluation of medical devices Rental of the operating room including: - surgical and anesthesic equipment MRI-compatible - anesthesic area - hospitalisation rooms if needed OR equipped with: - Neuro navigation robotic system ROSA - Intraoperative 1,5T MRI (Espree, Siemens): positioned on a rail to go into the operating room during surgery - Mobile X-ray unit (general Electric) - Stereotaxis interventional radiography chain (Apelem) Keywords: operating room; medical device evaluation

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility, neuronal brain activity using magnetoencephalography (NatMEG). NatMEG is Sweden's first and only research laboratory for whole-head measurements of neuronal brain activity using MEG. The state-of-the-art On-scalp MEG promises improved sensitivity and spatial precision compared to traditional cryogenic MEG. The system uses 128 novel optically pumped magnetometer (OPM) sensors and will be the first of its kind in the world. It includes 32 digital trigger channels, 8 bipolar analogue input and 8 bipolar output channels that are recorded along with the MEG data with integrated 128-channel EEG for simultaneous measurement. Due to the flexibility of OPMs, the sensors can also be used to record other electrophysiological signals, such as magnetocardiography (MCG), magnetomyography (MMG) and magnetoretinography (MRG). All MEG recordings are done inside a Vacuumschmelze GmbH Ak3B magnetically shielded room (MSR) with 2 high-permeability layers. The inside dimensions of the MSR are approximately 3m x 4m x 2.5m. In this service, we offer full support in project consultation, ethical permits and module technical support. For more information, visit the website: https://www.natmeg.se/

Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)

**Who Can Benefit:** - MedTech & AI Companies: For obtaining high-quality, ethically sourced clinical datasets to fuel algorithm development without navigating hospital bureaucracy. - Clinical Researchers: For systematic, regulation-compliant data collection with full documentation and audit trail. **Key Features:** - End-to-end management of ethical approval processes (ethics committee submission, informed consent design) - Prospective data collection within Universitätsklinikum Erlangen clinical departments - Expert clinical annotation and ground truth labeling by domain specialists - Full GDPR compliance with pseudonymization/anonymization pipelines - Structured data output compatible with downstream AI training and analysis workflows **Possible Applications:** - Wearable Sensor Studies (e.g. Cardiology): Prospective collection of continuous ECG, PPG, or blood pressure data from cardiac patients for digital biomarker development and remote monitoring algorithm training. - Motion & Gait Analysis (Biomechanics): Systematic acquisition of IMU, force plate, and motion capture data in clinical and sports lab settings for movement disorder assessment, rehabilitation tracking, or athletic performance evaluation. - Neurological Signal Acquisition: Collection of EEG, EMG, or tremor sensor data from neurological patient cohorts to support AI-based diagnostic or therapy monitoring tools. - Real-World Evidence Datasets: Longitudinal data collection from ambulatory patients in everyday settings, enabling the development of algorithms that generalize beyond controlled lab environments. - Athletic Performance & Injury Prevention: Structured data gathering during sports science testing protocols to build datasets for injury risk prediction, load monitoring, and return-to-play decision support. - Multi-Modal Clinical Datasets: Combined collection of sensor data, imaging, lab values, and patient-reported outcomes to enable holistic, multi-modal AI model development. **Who We Are:** The **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **"Center for Sensor Technology and Digital Medicine" (CEMDIS)** in cooperation with the Universitätsklinikum Erlangen and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions für real-life healthcare. Located at the Universitätsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).

Karolinska Institutet (KI)

The Swedish node is a collaboration between Karolinska Institutet, SciLifeLab and RISE. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science. Prospective data set collection: A full-service collection of new data sets. This service serves to create data sets on-demand according to the needs and requirements of the SME for TEF-project purposes, such as validation. Data sets will primarily comprise in vivo imaging data (PET, CT, MRI, MEG, EEG), ex vivo imaging, and OMICS data within neuro and cancer. Data can be generated by CIR and SciLifeLab infrastructures within our “Physical Testing” services or assembled from publicly available databases and research collaborations. We provide expertise and technical support in the following areas: o Project design& management o Ethical application support o Data collection o Data assembly o Data cleaning, annotation, anonymisation This service can typically directly collaborate with “physical testing services” and technology infrastructures to generate raw data material.

Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)

Overview This service provides access to a Pulse Wave Cartography Laboratory dedicated to the mapping of human cardiovascular signals. The facility captures pulse-wave data by synchronizing non-contact radar with contact sensors. The laboratory includes a custom two-axis measurement setup that allows a radar node to move above a participant, recording skin-surface micro-movements caused by the cardiac cycle. By combining these non-contact spatial measurements with simultaneous electrocardiogram and impedance cardiography data, the service provides structured datasets for cardiovascular research and device evaluation. How can the service help you? This service assists in validating cardiovascular monitoring technologies, such as non-contact sleep monitors or wearable sensors, against standard clinical signals. It addresses the requirement for mapped, synchronized ground-truth data. The service outputs synchronized, multi-axis datasets that correlate experimental sensor data with established reference signals, providing empirical data for device verification and algorithm training. How will the service be delivered? The service is performed in the biomedical engineering laboratory in Erlangen, Germany. A typical data collection session involves participants in a resting supine position while the two-axis radar system is maneuvered above them. The laboratory staff manages the hardware setup, the positioning of the radar node, and the synchronization. Upon completion, clients receive the aligned dataset. Additional information Provider description Our team has deep expertise in automated movement analysis, multimodal behavioral tracking, and complex data synchronization. With advanced facilities dedicated to biomedical engineering and affective computing, we offer SMEs expert guidance and state-of-the-art testing environments to develop, validate, and certify AI-driven healthcare solutions and wearable technologies. Technical details The laboratory acquires synchronized pulse wave dynamics using electrical, optical, acoustic, and electromagnetic sensors. Reference Signal Acquisition: Physiological monitoring is performed using a BIOPAC MP36 system, capturing Electrocardiogram (ECG), Impedance Cardiography (ICG), Photoplethysmography (PPG), and Phonocardiography (PCG). Non-Contact Spatial Mapping: The setup includes a 61 GHz continuous-wave radar node (EmRad system, Technical University of Hamburg; Albrecht et al., 2024). It is mounted on a two-axis mechanical measurement setup for the spatial tracking of cardiac micro-vibrations across the participant's body surface. Auxiliary Measurements: A body scale is available for biometric profiling, including body fat percentage and body composition metrics. Software & Synchronization: Data acquisition and temporal alignment are managed through Biopac Acqknowledge and the EmRad software. Service customization The service can be adapted to specific technical requirements. The spatial trajectory, scanning speed, and measurement points of the two-axis radar system can be customized based on the specified region of interest (e.g., focusing on the thoracic cavity or peripheral arterial sites). The reference signals can also be selectively applied; clients may opt to use only the ECG and PPG sensors if ICG and PCG are not required for their study.

Univerzita Komenskeho V Bratislave (UK BA)

The laboratory provides detection of RNA expression in low, medium and high throughput screening methods, including real-time PCR or microarray (MA). In additon, it provides detection of miRNA expression in low, as well as in high throughput screening meethods, including real-time PCR (qPCR) or microarray (MA). The service includes insight into technology, sample preparation, and partial or full bioinformatic data processing.

Metropolia Ammattikorkeakoulu Oy (METROPOLIA)

"From home to hospital", Simulated hospital. Rental of the Simulation rooms, audio and video recording. Pre-clinical testing: Helping with research questions (user, customer experience, etc.) Testing the situation as genuinely as possible (Organising skills to create a genuine situation). Helping with the research design and conducting the research, analysis. User testing.

Metropolia Ammattikorkeakoulu Oy (METROPOLIA)

Rental of the Simulation rooms, audio and video recording. Cameras, projectors for 4 sides; Acciden site simulation. "From home to hospital" Simulated hospital. Pre-clinical testing: Helping with research questions (user, customer experience, etc.) Testing the situation as genuinely as possible (Organising skills to create a genuine situation). Helping with the research design and conducting research, analysis. User testing.

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility Karolinska Experimental Research and Imaging Centre (KERIC) offers simulated environmental operating rooms for surgical training and medical and robotic device testing. KERIC is a joint university- and hospital facility that gives you access to expert surgeons, medical doctors, technicians and researchers expertise. The four operation units are equipped with: • Anaesthesia equipment (Dräger Primus Infinity) • Monitoring equipment (Datex / Philips MX800) • Operating table (TruSystem 7000) • Surgical diathermy (Valleylab, ForceTriad) • Surgical light (Maquet Volista) • Patient warming units (Mistral Air) • Surgical suction • Standard surgical instruments Our operating rooms are regularly used for surgical training in transplantation, neuro/stroke, pediatric surgery, specialist trauma expertise, otorhinolaryngology, gynaecology, and pediatric surgery. In this service, we offer full support in project consultation, ethical permits, module technical support, expert surgeons, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs. For more information, visit the website: https://ki.se/en/research/research-infrastructure-and-environments/core-facilities-for-research/keric/experimental-surgery

Fondation De Cooperation Scientifique (IHU STRASBOURG)

8 clinical Operating Rooms 5 simulated Operating Rooms (preclinical)

Metropolia Ammattikorkeakoulu Oy (METROPOLIA)

"From home to hospital", Simulated hospital. Rental of the Simulation rooms, audio and video recording. Pre-clinical testing: Helping with research questions (user, customer experience, etc.) Testing the situation as genuinely as possible (Organising skills to create a genuine situation). Helping with the research design and conducting the research, analysis. User testing.

Hospices Civils De Lyon (HCL)

Rental of the surgical facility (130m²), including: - a simulated operating room, with audio-video recording of testing sessions - an observation room with audio-video controls - a meeting room for debriefing, focus group , etc. - a convivial space to welcome participants

Technische Universitaet Muenchen (TUM)

In silico training and optimization: the customer will specify an architecture for software controllers for robotic systems, which will then be deployed in concurrent simulations for e.g., training through reinforcement learning or optimization through genetic algorithms. Performance evaluation of AI-based controllers for robotics based on virtual testing environment: the system provided by the customer, for instance a robotic device using an AI module in closed loop with sensors and actuators for sensorimotor control purposes, will be tested using a simulated environment with sufficient physical realism. Method Description: The Neurorobotics Platform (NRP) is a simulation framework for implementation of highly modular, physically realistic simulations, with a focus on robotics. It also supports the execution of such simulations in the context of an online service on EBRAINS, and can be used in conjunction with standard RL or optimization frameworks. It enables the design, functional evaluation and (at the end of TEF-Health) certification activities for robotic systems, including those with AI modules embedded. Method reference: To be refined depending on the type of task. Either ISO references, scientific literature, work done by WP7, or metrics designed by the TEF-Health consortium.

Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)

Overview This service provides sleep monitoring and analysis utilizing a combination of medical-grade clinical equipment and non-contact sensing technology in a controlled sleep laboratory environment. The facility is centered around a hospital bed equipped with a full-scale polysomnography (PSG) system to collect electroencephalography (EEG), electrocardiography (ECG), photoplethysmography (PPG), electromyography (EMG), respiration, and motion data. Simultaneously, an array of high-frequency radar sensors installed beneath the mattress records cardiorespiratory micro-movements, while a night-vision camera tracks facial expressions and body posture during sleep. The aim of the service is to provide synchronized reference data and non-contact measurements for sleep staging, detection of sleep disorders (such as sleep apnea, snoring, and restless limb movement), and the evaluation of sleep-monitoring systems. How can the service help you? Developing and testing sleep-monitoring devices, mattress sensors, or contactless algorithm models requires validated, full-night clinical reference data. This service solves the challenge of obtaining simultaneous clinical polysomnography and experimental non-contact radar data. Clients without access to a specialized sleep lab receive synchronized datasets containing ground-truth PSG sleep staging alongside contactless radar signals and night-vision video. This allows companies to train sleep-staging algorithms, validate contactless heart rate and respiration tracking, and test non-wearable sleep diagnostic solutions against medical-grade standards. How will the service be delivered? The service is offered in person at the sleep analysis laboratory in Erlangen, Germany. Overnight recording sessions are organized in accordance with standard sleep study protocols. Laboratory staff manage participant onboarding, PSG electrode placement, sensor setup beneath the mattress, and camera alignment. Following the recording session, data are processed, synchronized, and delivered to the client, along with standard PSG sleep-staging reports. Provider description Operating from the Department of Artificial Intelligence in Biomedical Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg, we are a service provider node within the TEF-Health consortium. The research group specializes in machine learning, biomedical signal processing, and multimodal sensor synchronization. Our team provides testing infrastructure and scientific support for evaluating medical devices, wearables, and contactless sensing systems. Technical details: The laboratory utilizes a hospital bed environment integrated with multiple synchronized measurement modalities: 1. Polysomnography (PSG): A Somnomedics PSG system serves as the clinical reference, recording EEG, ECG, PPG, EMG (muscle activity), respiration, accelerometry, and ambient sound via microphones for sleep staging and sleep disorder assessment (e.g., sleep apnea, restless legs/arms). 2. Non-Contact Radar Array: A multi-node array of 61 GHz continuous-wave radar units (EmRad system, Technical University Hamburg; Albrecht et al., 2024) is positioned beneath the bed mattress to measure heart rate, respiratory effort, and body movements without direct skin contact. 3. Visual Recording: A night-vision camera is mounted to enable facial expression analysis and posture tracking during low-light and dark overnight conditions. 4. Software: Data acquisition, signal filtering, and clinical sleep staging are executed using Somnomedics Analyze alongside custom signal-processing scripts for radar data extraction. Service customization: The study configuration can be customized based on specific research objectives. Clients can opt to utilize the full PSG array for comprehensive clinical validation or select a subset of sensors (e.g., respiration and ECG channels only) to adjust setup duration. Sensor placement, radar array density, and video resolution can be configured according to project specifications.

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

This service provides 2 types of analysis: - Ex vivo imaging study : Multiplex spatial distribution of molecular species in biological tissue - Profiling study: multiplex analysis in complex biological samples. It includes: - Project design & feasibility study - Sample conservation, preparation and analysis using softwares such as Fleximaging & Flexcontrol - Data analysis with provision of a final report Examples: Evaluate or Compare AI system of an IVD-MD to mass spectrometric (MALDI) data of specific animal/human tissue Keywords: Mass Spectrometry; MALDI; ex vivo imaging study; profiling study

Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)

Overview This service offers a comprehensive, fully equipped laboratory environment for reliably inducing and measuring acute psychosocial stress. By utilizing standardized protocols, we capture a wide array of human responses through a multimodal approach. Our capabilities include full-body motion capture, high-resolution posturography, and video-based facial and behavioral analysis to extract accurate digital biomarkers. Furthermore, we provide continuous physiological monitoring alongside the systematic collection of biological specimens for biopsychological marker analysis. This integrated service allows startups and SMEs to thoroughly evaluate stress-related interventions, health-tech wearables, or AI-driven behavioral models in a highly controlled, standardized, and scientific setting. How can the service help you? For companies developing health-tech wearables, digital therapeutics, or AI algorithms aimed at stress monitoring, gathering high-quality, ground-truth data is a significant hurdle. This service solves that problem by providing a validated, end-to-end pipeline for stress induction and measurement. By utilizing our laboratory, you receive biological, physiological, and biomechanical datasets. This enables you to accurately train predictive models—such as those that detect behavioral indicators of stress—validate the accuracy of hardware sensors, and confidently demonstrate the clinical efficacy of your technologies. How will the service be delivered? The service is delivered physically at our specialized Stress Induction Laboratory facilities. Execution time varies depending on the cohort size and the specific combination of measurement modalities requested, but a standard stress-induction protocol requires a dedicated session per participant. Our team coordinates the entire technical setup of all recording equipment (including cameras, microphones, and biometric sensors) and manages the collection of biological specimens. Customers receive the processed, synchronized, and annotated datasets securely after the experimental phase is concluded. Additional information Provider description We are a service provider node within the TEF-Health consortium, specializing in artificial intelligence, machine learning, and digital health innovations. Our team possesses deep expertise in automated movement analysis, 3D human pose estimation, and complex multimodal data synchronization. With advanced facilities dedicated to biomechanics and behavioral tracking, we offer SMEs guidance and state-of-the-art testing environments to develop, validate, and certify AI-driven healthcare solutions and wearable technologies. Technical details The core of the service relies on two standardized rooms tailored for stress testing, ensuring the gold standard for inducing acute psychosocial stress. Behavioral & Motion Tracking: We utilize 2 RGB cameras for multi-angle facial expression and body movement analysis, complemented by a wireless microphone for audio feature extraction. Precise biomechanical profiling is achieved using an XSens inertial sensor-based motion capture system alongside a Zebris FDM 1.5 posturography system for pressure distribution. Physiological & Biological Measurement: Continuous physiological monitoring is conducted using a Biopac MP160 system (tracking ECG, ICG, and respiration) and a Calera body core temperature sensor. Specimen Collection: The laboratory facilitates the standardized collection and storage of saliva samples and dried blood spots, processed in strict accordance with Bio S2 laboratory standards. Software Integration: Post-processing and data alignment utilize specialized, industry-standard software including Biopac AcqKnowledge, XSens MVN Analyze, and Zebris Analysis Software. Service customization The service is highly modular and can be customized to match your specific research or product development goals. While we can provide the foundational stress-induction framework, the measurement modalities are entirely flexible. An SME can opt for a purely non-invasive digital biomarker approach (e.g., utilizing only the RGB cameras and IMU sensors for behavioral tracking) or incorporate the full suite of physiological and biological sampling. We can also adjust camera placements, video resolutions, and labeling criteria to align with specific AI model training requirements. List of Services: - Full-body motion analysis using inertial motion capture, including posturography and pressure distribution - Video-based motion and facial expression analysis - Standardized and reliable gold standard stress induction - Collection of established biopsychological stress markers for further processing - Assessment and analysis of digital biomarkers during stress - Physiological measurements

Hospices Civils De Lyon (HCL)

Summative evaluation of finalized surgical robot prototype (design freeze) in order to validate usability (according to IEC 62366-1). This packaged service includes : - Operating room rental - Participants (healthcare professionals) recruitment within our hospital - Protocol elaboration - User testing organization and moderation - Analysis of collected data from a human factors perspective - Evaluation report including root causes analysis of errors, close calls and use difficulties observed Prices range is indicative and depends on testing protocol complexity and particpants number

Fondazione Istituto Italiano Di Tecnologia (IIT)

This service provides a complete testing setup for gait analysis, motion capture and IEC 10328 compliance for robotic exoskeletons and prostheses. It also provides support and recommendations about how to design and develop robotic rehabilitation systems compliant to IEC 60601-1 standard. Method Description: The service will perform an assessment of wearable robotics solutions (e.g. exoskeletons and prostheses) by using a combination of the following resources: VICON workstation with 12 cameras, sensorized treadmill, force platforms, surface electromyograph, metabolimeter. Method reference: Tests will be based on standards, most notably IEC 10328, when applicable. Otherwise, based on scientific methods for gait analysis. Keywords: robotics; healthcare robotics; prosthesis; orthosis; exoskeleton; testing setup.

Karolinska Institutet (KI)

The Unit: Clinical Genomics Stockholm (https://www.scilifelab.se/units/clinical-genomics-stockholm/) This infrastructure is part of Science for Life Laboratory (SciLifeLab) which is an academic collaboration between Swedish universities (including Karolinska Institutet) and a national research infrastructure with a focus on life science. Clinical Genomics Stockholm unit is a research infrastructure for large-scale, genomics-based analyses using next generation sequencing technologies. The unit assists in translational research projects, in the translation of genomics-based tools to routine clinical care and also aims to improve the capability for national microbial surveillance and for pandemic preparedness. The Service: Transcriptome sequencing (RNA-seq) Sequencing of mRNA (poly A based method) followed by fusion detection or germline analysis. This service encompasses: o Consultation (Project design, Target capture design) o Sample management o RNA sequencing (total RNA, mRNA) o Bioinformatics (Bioinformatic analysis on data generated at CG) Equipment Our unit has access to specialized equipment that enable us to factilitate the translation of new high-throughput techniques into clinical use. These include, but are not restricted to: • Various automatic robotic systems (BRAVO NGS Workstation, Hamilton NGS Star) • Various systems for QC, quantification and fragment analyses (TapeStation, Quantification using fluorescent assay (Qubit, Quantit)) • Instrumentation for real time PCR and ddPCR (BioRad qPCR) • Instrumentation for Multispectral imaging (Saphyr optical mapper) • Sequencing platforms: o Illumina (NovaSeq 6000, NovaSeq 6000 Dx, NovaSeq X) o Nanopore (PromethION “access via NGI”) o PacBio (Revio)

Centre Hospitalier Universitaire De Grenoble (CHUGA)

Formative evaluation of medical devices: user testing of any medical device prototype in order to improve usability (according to IEC 62366-1). It includes: - writing protocols depending user profiles. - recruitment of required healthcare professionals and patients - rental of the operating room if needed - rental of phantoms - one or several iterative user testing steps and result analyses - evaluation report including ergonomic corrections and guidelines to bring to the medical device

Karolinska Institutet (KI)

The Unit: Clinical Genomics Stockholm (https://www.scilifelab.se/units/clinical-genomics-stockholm/) This infrastructure is part of Science for Life Laboratory (SciLifeLab) which is an academic collaboration between Swedish universities (including Karolinska Institutet) and a national research infrastructure with a focus on life science. Clinical Genomics Stockholm unit is a research infrastructure for large-scale, genomics-based analyses using next generation sequencing technologies. The unit assists in translational research projects, in the translation of genomics-based tools to routine clinical care and also aims to improve the capability for national microbial surveillance and for pandemic preparedness. The Service: Whole genome or targeted DNA sequencing Sequencing of the entire human genome (with a PCR-free protocol) or selected parts of the genome (through exome or panel sequencing), followed by germline or somatic analysis. This service encompasses: o Consultation (Project design, Target capture design) o Sample management o DNA sequencing (Whole Genome Seq (WGS), Whole Exome Seq (WES), Panels) o Bioinformatics (Bioinformatic analysis (data generated at CG) Equipment: Our unit has access to specialized equipment that enable us to factilitate the translation of new high-throughput techniques into clinical use. These include, but are not restricted to: • Various automatic robotic systems (BRAVO NGS Workstation, Hamilton NGS Star) • Various systems for QC, quantification and fragment analyses (TapeStation, Quantification using fluorescent assay (Qubit, Quantit)) • Instrumentation for real time PCR and ddPCR (BioRad qPCR) • Instrumentation for Multispectral imaging (Saphyr optical mapper) • Sequencing platforms: o Illumina (NovaSeq 6000, NovaSeq 6000 Dx, NovaSeq X) o Nanopore (PromethION “access via NGI”) o PacBio (Revio) Prospective Use case: AI based software solution uses WGS data to identify genetic biomarkers to help clinicians either during diagnostic phase and/or at the treatment phase in order to identify genetic aberrations possibly explaining the disease onset or to assist in the therapeutic decisions such as for example in breast cancer the presence of BRCA1 mutation. AI software can be trained to learn to deliver diagnostic based on WGS data (especially needed in the field of rare diseases) to recognize genetic variations (from single nucleotide to over 50bp deletion or insertion) in a more robust and accurate manner (to limit generation of false negative or false positive cases) to support clinicians in their decision process.