A new model combines high-resolution experimental data with deep learning to reveal how non-coding DNA sequences control gene activity across different cell types.
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.