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Programmable Virtual Humans Toward Human Physiologically-Based Drug Discovery

arXiv.org Artificial Intelligence

Artificial intelligence (AI) has sparked immense interest in drug discovery, but most current approaches only digitize existing high-throughput experiments. They remain constrained by conventional pipelines. As a result, they do not address the fundamental challenges of predicting drug effects in humans. Similarly, biomedical digital twins, largely grounded in real-world data and mechanistic models, are tailored for late-phase drug development and lack the resolution to model molecular interactions or their systemic consequences, limiting their impact in early-stage discovery. This disconnect between early discovery and late development is one of the main drivers of high failure rates in drug discovery. The true promise of AI lies not in augmenting current experiments but in enabling virtual experiments that are impossible in the real world: testing novel compounds directly in silico in the human body. Recent advances in AI, high-throughput perturbation assays, and single-cell and spatial omics across species now make it possible to construct programmable virtual humans: dynamic, multiscale models that simulate drug actions from molecular to phenotypic levels. By bridging the translational gap, programmable virtual humans offer a transformative path to optimize therapeutic efficacy and safety earlier than ever before. This perspective introduces the concept of programmable virtual humans, explores their roles in a new paradigm of drug discovery centered on human physiology, and outlines key opportunities, challenges, and roadmaps for their realization.


Impact Analytics extends partnership with PHP Corp

#artificialintelligence

Impact Analytics has announced an extension of its partnership with PVH Corp., one of the world's largest and most admired fashion firms, to empower PVH's omnichannel business across North America, with the help of AI driven solutions for assortment planning and price optimization. The COVID-19 pandemic, the rise of e-commerce, and supply chain crisis, have made it imperative for retailers to work with intelligent, automated, and edge-aware solutions. IA's AssortSmart and PriceSmart solutions are fueled by Ada, Impact Analytics' cutting-edge AI & ML guided forecasting engine with robust predictive algorithms. With these solutions, PVH can intelligently improve forecast accuracies, and bring speed and agility to detecting and responding to changing customer preferences. "We are excited to partner with Impact Analytics in leveraging AssortSmart and PriceSmart," said Joe Todaro, EVP Retail Operations for Tommy Hilfiger North America at PVH .