1 citations · 1 across the 4 of their papers we have counts for
5 papers
APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins
Romain Ferrara, Martin Soucail, Victor Gertner +7
Establishing ordinary differential equations (ODEs) describing population data is a fundamental part of mathematical modeling in pharmacology, crucial to developing digital twins.…
Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy
Mohamed Boussena, Florence Monville, Jacques Fieschi-Meric +8
Integrating multimodal datasets in clinical oncology is frequently hindered by high dimensionality and blockwise missingness, where entire data sources are unavailable for specific…
Mechanistic Learning for Survival Prediction in NSCLC Using Routine Blood Biomarkers and Tumor Kinetics
Ruben Taieb, René Bruno, Pascal Chanu +2
Background Predicting overall survival (OS) in non-small cell lung cancer (NSCLC) is essential for clinical decision-making and drug development. While tumor and blood test markers…
ROOFS: RObust biOmarker Feature Selection
Anastasiia Bakhmach, Paul Dufossé, Simon Charpigny +4
Feature selection (FS) is essential for biomarker discovery and clinical predictive modeling. Over the past decades, methodological literature on FS has become rich and mature, off…
The SChISM study: Cell-free DNA size profiles as predictors of progression in advanced carcinoma treated with immune-checkpoint inhibitors
Linh Nguyen Phuong, Frederic Fina, Laurent Greillier +9
Background: Many advanced cancer patients experience progression under immune-checkpoint inhibitors (ICIs). Circulating cell-free DNA (cfDNA) size profiles offer a promising noninv…