AI in Life Sciences: Innovation in Research and Healthcare is a concise, practice-focused guide to how AI is reshaping biology and medicine—from omics and drug discovery to diagnostics, imaging, and personalized care. It links core methods (machine learning, deep learning, generative AI, NLP) with real workflows for data curation, model development, validation, and deployment in labs, hospitals, and biotech. Readers get case studies on biomarker discovery, digital pathology, clinical decision support, and wearables, plus coverage of explainability, bias, privacy/federated learning, and regulatory/compliance considerations. Designed for students, researchers, clinicians, and innovators, the book translates cutting-edge research into actionable tools for safer, faster, and more equitable healthcare.