Computational Health

Ethics of AI in Healthcare: The use of AI in healthcare requires ethical guidelines to address bias, ensure transparency, and maintain patient trust in medical practices.

A landmark consensus paper introducing the FUTURE-AI framework for trustworthy AI in healthcare has been published by a collaboration of leading institutions, in which Helmholtz Munich is also involved. This important work sets a new standard for…

Icon, Computational Health, Featured Publication

A study led by Dr. Tingying Peng, Helmholtz AI PI at the Computational Health Center at Helmholtz Munich, and Dr. Melanie Boxberg from the TUM Department of Pathology has introduced a new technology aimed at improving how doctors analyze tissue…

Machine learning algorithms with an illustration of data AI models predicting future trends

The project FUTURE-AI aims to bridge the gap between AI research and clinical adoption in healthcare. It provides guidelines for developing trustworthy AI tools, built on six guiding principles and 30 best practices.

Fabian Theis Porträt
Hintergrund: Innenaufnahme im HDC

The International Society for Computational Biology (ISCB) has awarded Prof. Fabian Theis the ISCB Innovator Award, recognizing his outstanding contributions to computational biology. This accolade is presented annually to a leading scientist who,…

Machine learning is transforming the study of human health, offering deep insights into individual cell behavior. Building on existing knowledge that biases in machine learning can impact fairness and accuracy, a new study, led by Theresa Willem, AI…