Fraunhofer IIS

Logo von Fraunhofer IIS

Fraunhofer IIS
Am Wolfsmantel 33
91058 Erlangen

https://www.iis.fraunhofer.de/

Dr. Christian Münzenmayer
Contact per mail

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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