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News

Artificial intelligence enables precision medicine through advanced monitoring. Digital representation of cancer cells with glowing details and intricate patterns.

AI, Awards & Grants, Computational Health, IML,

Using Artificial Intelligence to Decipher the Mechanisms of Cancer Metastasis

The DECIPHER-M research project uses Artificial Intelligence (AI) to further understand the spread of cancer cells based on routine clinical data. The aim is to improve treatment options using a multimodal foundation model. As a key contributor,…

Trypanosoma cruzi parasite

New Research Findings, Computational Health, ICB,

Antigenic Variation: Decoding the Mechanism Controlling Antigen Activation in Trypanosomes

A new study by Helmholtz Munich and LMU shows how pathogens control changes in their cell surface to evade the immune system.

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.

AI, New Research Findings, Computational Health, IML,

International Experts Establish FUTURE-AI Guidelines for Trustworthy Healthcare AI

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

AI, Featured Publication, Computational Health, Health AI,

New AI Model Enhances Speed and Accuracy in Medical Diagnoses

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

AI, Computational Health, IML,

Making AI in Healthcare Trustworthy - an Interview with Julia Schnabel

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

AI, Awards & Grants, Computational Health, ICB,

Fabian Theis Honored with ISCB Innovator Award

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,…