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Deep Dive into GenAI Use Cases and Workflows in Drug Discovery & Development

In this thought-provoking episode, we dive deep into the transformative role of Generative AI (GenAI) in drug discovery and development. As the pharmaceutical industry faces increasing pressure to accelerate timelines, reduce costs, and improve clinical outcomes, GenAI is emerging as a game-changer across the R&D value chain. We unpack 18 high-impact use cases—from de novo molecular design, ADME/T prediction, and virtual screening to protein structure prediction, biomarker discovery, and AI-driven hypothesis generation. You’ll gain insights into how GenAI workflows are being deployed by pharma, biotech startups, and CROs to shorten discovery cycles, improve candidate quality, and uncover new therapeutic possibilities. We also discuss the tools, personas, and workflows behind these use cases, explore real-world adoption challenges, and share how decision-makers—from computational chemists to Heads of Translational R&D—are integrating GenAI into their strategies. Whether you’re building AI tools for life sciences or leading innovation within a pharma company, this episode is your roadmap to the next frontier of intelligent drug discovery.