Peer Reviewed Journal Publication

Vincent Hurez, Glenn Gauderat, Perrine Soret, Renee Myers, Krishnakant Dasika, Robert Sheehan, Christina Friedrich, Mike Reed, Laurence Laigle, Marta Alarcón Riquelme, Audrey Aussy, Loubna Chadli, Sandra Hubert, Emiko Desvaux, Sylvain Fouliard, Philippe Moingeon and the PRECISESADS Clinical Consortium

Virtual patients inspired by multiomics predict the efficacy of an anti-IFNα mAb in cutaneous lupus

Highlights • QSP modeling of lupus can be used to predict the efficacy of drug candidates. • A cohort of virtual lupus patients was created from profiling data of actual patients. • Virtual patient simulations predicted distinct anti IFN treatment responses. • Machine learning found biomarkers to differentiate responders from non-responders.

Visit Url
Poster

Tomohiro Sasaki, Christina Friedrich, Krishnakant Dasika, Vincent Hurez, Renee Myers, Lesley Benyon, Miyuki Yuasa, Emiri O Takaki, Kazuhide Nakamura, Yosuke Kawai

QSP modeling of OPB-171775, a phosphodiesterase 3A–Schlafen 12 molecular glue, to predict clinical responses in patients with gastrointestinal stromal tumors

Presented by Otsuka Pharmaceutical Co. Ltd. and Rosa at PAGE 2025 in Thessaloniki, Greece

"We enable our clients to learn things that would be impractical or impossible to learn from empirical studies alone."
—Mike Reed, PhD, Chief Scientist, PhysioPD
Learn more about PhysioPD