Artificial Intelligence in Human Health and Diseases

This book discusses current concepts and future translational possibilities of Artificial Intelligence (AI) in human healthcare and diseases. The chapters further cover the role of the current state of AI in Cardiovascular Disease, Obesity and Diabetes, Neurological Diseases, and Infectious Diseases. This book discusses current concepts and future translational possibilities of Artificial Intelligence (AI) in human healthcare and diseases. The initial chapter reviews the application and integration of AI and multi-omics to develop novel diagnostic and therapeutic strategies. The book chapter also explores the recent advances in data-driven approaches that aided state-of-the-art AI for biomarker discovery and better disease diagnosis. The book also offers computational and oncological prospects for the role of AI in radio genomics, as well as its offers, achievements, opportunities, and limitations in the current clinical practices. The chapters further cover the role of the current state of AI in Cardiovascular Disease, Obesity and Diabetes, Neurological Diseases, and Infectious Diseases. Towards the end, the book highlights the use of AI in diverse pharmaceutical industry sectors, including drug discovery and development, drug repurposing, and improving pharmaceutical productivity. This book is handy for basic, translational, clinical & interdisciplinary researchers and bioinformaticians. This book discusses current concepts and future translational possibilities of Artificial Intelligence (AI) in human healthcare and diseases. The initial chapter reviews the application and integration of AI and multi-omics to develop novel diagnostic and therapeutic strategies. The book chapter also explores the recent advances in data-driven approaches that aided state-of-the-art AI for biomarker discovery and better disease diagnosis. The book also offers computational and oncological prospects for the role of AI in radio genomics, as well as its offers, achievements, opportunities, and limitations in the current clinical practices. The chapters further cover the role of the current state of AI in Cardiovascular Disease, Obesity and Diabetes, Neurological Diseases, and Infectious Diseases. Towards the end, the book highlights the use of AI in diverse pharmaceutical industry sectors, including drug discovery and development, drug repurposing, and improving pharmaceutical productivity. This book is handy for basic, translational, clinical & interdisciplinary researchers and bioinformaticians.