Shteto, A., Boulahfa, J., Etcheto, A. et al. Genomic biomarkers of liver toxicity risk from UK Biobank data. Pharmacogenomics J 25, 30 (2025). Toxic liver disease represents one of the most serious safety challenges in drug development and clinical practice. In this study, Ariana Pharmaceuticals harnessed the power of explainable AI (eXp AI) through its proprietary KEM® (Knowledge Extraction & Management) platform to uncover genomic biomarkers associated with increased mortal

Identification of a Predictive Genomic Signature for NADT Response in High-Risk Prostate Cancer Using Real-World Clinical Trial Data Analyzed by the KEM® Explainable AI Platform. Presented as a scientific poster at ESMO-AI 2025, Berlin. Prostate cancer is one of the most common malignancies worldwide, and treatment decisions for localized high-risk disease increasingly rely on molecular predictors to guide therapy selection. Neoadjuvant androgen deprivation therapy (NADT) can

Identification of Optimal First- and Last-Line Advanced Treatment Strategies in IBD Using Real-World Data Analyzed by the KEM® Explainable AI Platform: Proof of Concept from the IBD-Drive Project. Presented at Journées Francophones d'Hépato-gastroentérologie et d'Oncologie Digestive 2025 (JFHOD). Chronic Inflammatory Bowel Diseases (IBD) - including Crohn's disease and ulcerative colitis - are characterized by chronic inflammation of the digestive tract that can damage the in