22.04.2024
©LMU
Causal AI in the Field of Diagnosis and Therapy
LMU News
This LMU Newsroom article focuses on the research of our PI Stefan Feuerriegel in the field of AI in diagnosis and therapy. His team is working on a so-called Causal AI, which might be able to predict individual risk changes when taking medication.
«We give the machine rules for recognizing the causal structure and correctly formalizing the problem.»
Stefan Feuerriegel
MCML PI
The corresponding scientific paper has been published in the world’s leading multidisciplinary science journal Nature.
Causal machine learning for predicting treatment outcomes.
Nature Medicine 30. Apr. 2024. DOI
Related
19.01.2026
MCML at AAAI 2026
MCML researchers are represented with 9 papers at AAAI 2026 (6 Main, and 3 Workshops).
19.01.2026
MCML PI Frauke Kreuter Featured on ARD Alpha on AI
MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.
15.01.2026
Blind Matching – Aligning Images and Text Without Training or Labels
CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.
12.01.2026
MCML PIs Featured in Süddeutsche Zeitung
MCML PIs Xiaoxiang Zhu and Felix Dietrich featured in Süddeutsche Zeitung for TU Munich’s 2025 breakthroughs in AI and data science.
