output
20152024
most citedCoevolutionary landscape inference and the context-dependence of mutations in beta-lactamase TEM-1

315 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

cs.LG2024

LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho +9

This work proposes a novel framework for analyzing disease progression using time-aware neural ordinary differential equations (NODE). We introduce a "time-aware head" in a framewo…

q-bio.NC2023★ 10 cited

Risperidone response in patients with schizophrenia drives DNA methylation changes in immune and neuronal systems

Ana Lokmer, Charanraj Goud Alladi, Réjane Troudet +9

Background: The choice of efficient antipsychotic therapy for schizophrenia relies on a time-consuming trial-and-error approach, whereas the social and economic burdens of the dise…

q-bio.NC2022★ 14 cited

Violent suicide attempt history in elderly patients with bipolar disorder: The role of sex, abdominal obesity, and verbal memory: Results from the FACE-BD cohort (FondaMental Advanced center of Expertise for Bipolar Disorders)

Aiste Lengvenyte, Bruno Aouizerate, Valerie Aubin +15

Background: Bipolar disorder (BD) is a chronic, lifelong condition, associated with increased risk of obesity, cognitive impairment, and suicidal behaviors. Abdominal obesity and a…

cs.CV2020★ 82 cited

ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis

Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard +3

In recent years, Artificial Intelligence (AI) has proven its relevance for medical decision support. However, the "black-box" nature of successful AI algorithms still holds back th…

q-bio.QM2015★ 315 cited

Coevolutionary landscape inference and the context-dependence of mutations in beta-lactamase TEM-1

Matteo Figliuzzi, Hervé Jacquier, Alexander Schug +2

The quantitative characterization of mutational landscapes is a task of outstanding importance in evolutionary and medical biology: It is, e.g., of central importance for our under…