Fraunhofer IIS
Fraunhofer IIS
Am Wolfsmantel 33
91058 Erlangen
https://www.iis.fraunhofer.de/
Dr. Christian Münzenmayer
Contact per mail
Profile
We are your development partner for the digital healthcare of tomorrow. Our customized, market-ready solutions for medical and physiological data acquisition and analysis as well as our interdisciplinary expertise give you a scientifically sound innovative edge. As the largest institute of the Fraunhofer-Gesellschaft, Fraunhofer IIS conducts cutting-edge international research in the fields of AI, sensor technology and medical technology.
Products & Services
Products:
- eCRF System DPM.research: Web-based, customizable management system for clinical trials (according to the regulations GCP, GDPR and EMA Guideline - EMA/INS/GCP/112288/2023)
- MIKAIA®: Digital pathology software for AI-based image analysis in preclinical and clinical research
- Sensor-based patient monitoring and individual therapy models based on clinical grade wearables
- Center for Sensor Technology and Digital Medicine with links to various laboratories (gait analysis lab, cardiology lab, medical data lab, psycho-physiology lab)
Services:
- Contract development of medical image and biosignal analysis (including consulting, feasibility studies, software development) and technology licensing
- Development of miniaturized, energy-efficient sensor systems for various application areas (medicine and health, automotive health, smart home, wellbeing, occupational safety and research)
- Conducting subject studies in a clinical environment to evaluate sensor systems, studies to record and analyze psycho-physiological reactions, including data acquisition, flexible study setup and data evaluation
Technology
- Quantitative image and video analysis for digital pathology, spatial biology, life sciences and endoscopy
- Medical measurement technology and integrated sensor technology for biosignal acquisition (design, solution development, feasibility study, functional prototype, transfer to series production)
- AI-based longitudinal analyses and prediction models for medical data evaluation
- Fusion of multimodal data to analyze unconscious, psycho-physiological user reactions
- Clinical studies and independent validation of measured values and parameters
- Technology development for digital care
- Solutions for digital study management