Pairing AI with classical retinal image features enhances disease prediction, uncovers novel genetic associations, and refines diagnostic accuracy in large-scale datasets.

Explore AI publications from UNIL researchers via IRIS: learning, language, perception, ethics, society… An interdisciplinary body of research built around 150 keywords.

Thanks to artificial intelligence, researchers from UNIL and ETH Zurich are transforming how we reconstruct the evolutionary history of species, bypassing traditional methods.

What if we could reconstruct the evolution of Alpine snow cover despite incomplete satellite imagery? Grégoire Mariéthoz achieves this by combining statistics, physics, and artificial intelligence.

Can we read between the lines of institutional websites to uncover public health priorities? Céline Rozenblat uses AI to map both actions and silences on a global scale.