All Genomics and Health Informatics Group News

GHI first summer walk
institute — last modified Sep 21, 2022

In July the GHI group went for his first summer walk at the Dorbon’s alpage above the stunning village of Derborence.

The Swiss Institute of Bioinformatics and Idiap start a partnership
institute — Sep 13, 2022

Bringing artificial intelligence and bioinformatics closer in Switzerland, Idiap and the Swiss Institute of Bioinformatics (SIB) signed a collaboration agreement. By becoming a partner institution of SIB, Idiap ensures its groups active in bioinformatics benefit from SIB’s national network of expertise, while enabling the SIB to access its 30 years of experience in AI research.

L'Idiap croit en la force des femmes en science
education — last modified Feb 08, 2022

A l'occasion de la Journée Internationale des Femmes et les Filles en Sciences, venez prendre part à l'évènement virtuel Potenti'Elles, une table ronde ouverte à toutes et tous qui réunira des femmes inspirantes.

Idiap is looking for its next director
institute — Jan 14, 2022

Idiap Research Institute and the School of Engineering at EPFL invite applications for the directorship of Idiap. The successful candidate will also hold a faculty position as full professor at EPFL School of Engineering.

Classifying neurons for a better understanding of Stephen Hawking's disease
research — Dec 01, 2021

Results from our Genomics & health informatics research group, in collaboration with the Francis Crick Institute in London, describe the use of a computational analysis method to classify images of healthy and affected by amyotrophic lateral sclerosis (ALS) motor neurons. This new technological breakthrough allows a better understanding of the disease and provides guidance for lab research.

The first paper in Brain Pathology
research — last modified Feb 15, 2021

The first paper of the Genomics and Health Informatics group, co-lead with Rickie Patani and Andrea Serio from the Francis Crick Institute (London, UK) is live in Brain Pathology. We propose a method to automatically identify ALS pathological motor neurons at single-cell resolution from histopathological tissue sections.