AI-Driven Analysis of Medical Data & Subject Studies
Exhibitor
Fraunhofer IIS
Available medical data holds significant potential for research, diagnostics, and therapy – whether in the realm of personalized medicine, optimizing diagnostic procedures and treatments, or facilitating early disease detection.
We analyze medical data and extract insights from extensive data sets for our customers and partners. We employ both traditional analytical methods and AI-driven approaches, including the training of Deep Neural Networks (DNN). This enables us to uncover previously hidden correlations within the data. Our High-Performance Deep Learning computing cluster supports the efficient execution of these algorithms. We are committed to ensuring strict compliance with the EU General Data Protection Regulation (GDPR).
Independent and Scientifically Validated: Subject Studies with Fraunhofer
Furthermore, we support you in refining your human-centered research question from initial conception to the delivery of customized analysis results. You can choose the level of assistance you need for your study – whether it’s a biomedical research project, a GCP-compliant clinical study, or other studies involving the BfArM (Federal Institute for Drugs and Medical Devices), excluding drug studies.
Additionally, we offer comprehensive data acquisition environments, complete with the necessary software and hardware for your study and R&D projects.

Turning data into knowledge: Subject studies and multimodal data analysis with Fraunhofer (©Fraunhofer IIS)