Peer Reviewed Journal Publication
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.
Poster
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
Poster
Accurate modeling of ACTH and cortisol dynamics for Cushing’s disease treatment
Presented by Rosa in collaboration with Lundbeck at ACoP 2025 in Denver, CO, USA.
Poster
Evaluation of Parallel Tempering for Efficient Generation of Virtual Populations
Presented by Rosa at ACoP 2025 in Denver, CO, USA.
Poster
Adaptable PBPK-QSP gene therapy model applied to i.v. administration of AAV-2 across different species
Presented by Rosa in collaboration with Sanofi at ACoP 2025 in Denver, CO, USA.