Category: AI and machine learning

Moving past the AI hype in drug discovery

How a major pharmaceutical collaboration highlighted the critical need for interrogable data pipelines in the era of machine learning

Why scientific judgement still matters in AI-driven drug discovery

Seoul in late April moves at a pace that feels appropriate for a city hosting one of Asia’s most significant life sciences gatherings. BioKorea 2026 drew dealmakers, investors, and business development executives from across the globe

Why AI in drug discovery still depends on data quality and biology

Why the next phase of structural biology depends on dynamic data, better infrastructure and practical scientific use