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.
1. The Magic of Artificial Intelligence-1.- 2. Magic of Artificial Intelligence-2.- 3. Deep Reinforcement Learning in Medical Science: Methods, Applications, and Future Directions.- 4. The problem of Generialization and Explainability in deep learning algorithms.- 5. Artificial Intelligence and Omics in Health and Diseases.- 6. Artificial Intelligence in Biomarker Discovery and Disease Diagnosis.- 7. Artificial Intelligence in Biomarker Discovery and Disease Diagnosis-2.- 8. Radiogenomics and Artificial Intelligence in Health and Diseases.- 9. Artificial Intelligence and the Use of Imaging Modalities in Biomedical Sciences.- 10. Artificial Intelligence in Cardiovascular Diseases.- 11. Artificial Intelligence in Obesity and Diabetes.- 12. AI-Powered Revolution in Infectious Disease Management: From Early Diagnostics to Drug Discovery.- 13. Artificial Intelligence in Oncology.- 14. Artificial Intelligence in Precision Oncology, Genomic Medicine and Disease Monitoring.- 15. Artificial Intelligence in Drug Discovery and Drug Target Interactions.- 16. Artificial Intelligence and Cancer Immunotherapy.- 17. Deep Learning Based Techniques for Detection of Cancer.
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