230 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université Paris CitéFR8 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- InsermFR7 papers
- Sorbonne UniversitéFR4 papers
- Université Paris Sciences et LettresFR4 papers
- Institut PasteurFR3 papers
- Sorbonne Paris CitéFR3 papers
- CERMICSFR2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- École nationale des ponts et chausséesFR2 papers
- École Nationale Supérieure des Mines de ParisFR2 papers
- École Normale Supérieure de LyonFR2 papers
6 papers · 1 filter
Bayesian dose-regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics
Emma Gerard, Sarah Zohar, Hoai-Thu Thai +3
Phase I dose-finding trials in oncology seek to find the maximum tolerated dose (MTD) of a drug under a specific schedule. Evaluating drug-schedules aims at improving treatment saf…
Scaffold-constrained molecular generation
Maxime Langevin, Herve Minoux, Maximilien Levesque +1
One of the major applications of generative models for drug Discovery targets the lead-optimization phase. During the optimization of a lead series, it is common to have scaffold c…
Optimised hyperbolic microchannels for the mechanical characterisation of bio-particles
Yanan Liu, Konstantinos Zografos, Joana Fidalgo +8
The transport of bio-particles in viscous flows exhibits a rich variety of dynamical behaviour, such as morphological transitions, complex orientation dynamics or deformations. Cha…
A variable selection approach for highly correlated predictors in high-dimensional genomic data
Wencan Zhu, Céline Lévy-Leduc, Nils Ternès
In genomic studies, identifying biomarkers associated with a variable of interest is a major concern in biomedical research. Regularized approaches are classically used to perform…
Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
Paraskevi Gkeka, Gabriel Stoltz, Amir Barati Farimani +14
Machine learning encompasses a set of tools and algorithms which are now becoming popular in almost all scientific and technological fields. This is true for molecular dynamics as…
Bayesian Methods for the Analysis of Early-Phase Oncology Basket Trials with Information Borrowing across Cancer Types
Jin Jin, Marie-Karelle Riviere, Xiaodong Luo +1
Research in oncology has changed the focus from histological properties of tumors in a specific organ to a specific genomic aberration potentially shared by multiple cancer types.…