Claude‐Henry Volmar

This paper develops a network-based atlas of human skeletal muscle aging using transcriptomic data from 1,675 biopsies and multiple single-cell technologies, revealing gene modules and interactions associated with aging and load status.

This study identifies BET inhibition as a promising therapeutic strategy for uveal melanoma by demonstrating its efficacy in reducing metastasis and improving survival in a mouse model.

The paper develops a large-scale blood transcriptomic resource for Alzheimer's disease, identifies sex-specific differences, and models insulin resistance biomarkers using machine learning.

This study shows that acute aerobic exercise improves memory through DNA damage and repair mechanisms, suggesting a potential therapeutic target for Alzheimer's disease.