Alle News

Vierte Helmholtz Munich Expert Hour im Deutschen Bundestag

Events, AI, Diabetes, IDF, Computational Health, IML,

Helmholtz Munich Expert Hour at the German Bundestag: The Future of Preventive Medicine

Science and politics came together once again at the German Bundestag: For the fourth time, Helmholtz Munich hosted the Helmholtz Munich Expert Hour on September 10, 2025. This dialogue format gives political decision-makers the opportunity to learn…

Expert Hour Bayerischer Landtag

Events, AI, Computational Health, AIH, IML,

Helmholtz Munich Expert Hour at the State Parliament: Focus on AI Potential in Medicine

For the first time, the Helmholtz Munich Expert Hour – an established dialogue format between science and politics – took place at the Bavarian State Parliament. At the invitation of Member of Parliament Maximilian Böltl and the Young Group of the…

An AI powered system automating remote patient monitoring by analyzing real time health data and vital signs, futuristic AI-driven healthcare platform

AI, Computational Health, HCA, ICB, IML,

How Foundation Models Are Shaping Biomedical Research

AI-powered foundation models like GPT have evolved from everyday tools for simple tasks to powerful systems capable of revolutionizing industries. Researchers at Helmholtz Munich are harnessing the potential of these models to drive advancements in…

Artificial intelligence enables precision medicine through advanced monitoring. Digital representation of cancer cells with glowing details and intricate patterns.AdobeStock_1094300434

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,…

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. AdobeStock_1055051906

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…

Machine Learning Algorithms

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.