Artificial Intelligence in Healthcare and Life Sciences

Artificial Intelligence in Healthcare and Life Sciences provides a comprehensive overview of AI technologies and their applications across medical and biological disciplines. The book begins with an introduction to core AI concepts, including machine learning, deep learning, neural networks, and data-driven modeling, tailored to healthcare and life science contexts.
It explores key application areas such as medical imaging, clinical decision support systems, disease prediction, genomics and proteomics, drug discovery, personalized medicine, epidemiology, and healthcare operations management. Real-world case studies illustrate how AI systems are being deployed to improve diagnostic accuracy, optimize treatment plans, and enhance patient care.
The book also addresses critical challenges, including data quality, interoperability, algorithmic bias, explainability, regulatory compliance, and ethical considerations related to patient privacy and safety. Emerging trends such as digital twins, AI-powered wearables, telemedicine, and precision health are discussed to provide a forward-looking perspective.
Designed for students, researchers, healthcare professionals, and technology practitioners, this book combines conceptual clarity with applied insight. It serves as a valuable resource for understanding how AI is reshaping healthcare and life sciences and how these innovations can be responsibly integrated into clinical practice and research.