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Dresden research teams have developed a bioinspired hydrogel that combines electrical and biochemical signal control for the first time.

The safety of AI-enabled medical devices depends also on how people interact with these systems.

Designed as an intensive spring school, the program provides an entry point into interdisciplinary research and innovation in digital health.

The developed AI model can predict liver cancer risk based on routinely collected clinical data, such as pre-existing conditions, laboratory values, and lifestyle factors.

Two EKFZ spin-offs, StratifAI and Cancilico, have successfully raised substantial investor funding to advance their AI-driven diagnostic technologies. 

A technology-oriented review of ultra-compact wearable systems and a multicenter clinical study evaluating the image quality of established handheld devices in routine practice.

Synthetic data could be a powerful enabler for data sharing, scientific collaboration, and trial design, but with robust validation and responsible oversight.

EURAID offers hospitals structured guidance on the collaborative, human-centered “in-house” development, validation, and implementation of AI systems.

Congratulations to Dyke Ferber on receiving the Carl Gustav Carus Award for an outstanding scientific publication, and to Tina Gabriel and Xuan Peng for their exceptional dissertations. We are very…