After decades of slow progress, advances in molecular profiling and organoid technology are creating new pathways for non-invasive diagnosis and targeted treatment of endometriosis.
Studies indicate AI-enabled compound management systems can streamline workflows, reduce manual errors, and provide better visibility into experimental and predicted data.
AI is reshaping early drug discovery, but persistent translational gaps, biological complexity, and validation challenges limit how far machine learning alone can predict human outcomes.
Learn how structure-based drug design uses a protein's 3D structure to create precisely targeted medicines. Explore the key techniques, from X-ray crystallography to AI-powered modeling.
Denise Kirschner developed an equation-based lung model of a fatal but forgotten infectious disease, revealing an unexpected role for math in drug discovery.