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Description
This book provides a comprehensive and accessible exploration of how Artificial Intelligence (AI) is transforming the field of Genomics and personalized medicine. The book brings together the latest methods, tools, and real-world applications that enable scientists and clinicians to interpret complex genetic data, discover disease-causing patterns, and design precision therapies. Covering topics from deep learning and multi-omics integration to ethical and regulatory considerations, the book bridges the gap between computational innovation and clinical translation. Designed for researchers, students, healthcare professionals, and biotech innovators, this book offers clear explanations, illustrative case studies, and forward-looking insights into how AI is shaping the future of medicine and human health.
Introduction.- Genomics in the Age of Artificial Intelligence.- Data Foundations: Sequencing, Multi-Omics, and Data Quality.- Classical Machine Learning Methods in Genomics.- Deep Learning Architectures for Genomic Sequences and Structures.- Graph Neural Networks and Biological Networks.- Self-Supervised and Foundation Models in Genomic Research.- Integrative Multi-Omics Modeling and Data Fusion.- Interpretability, Explainability, and Causality in Genomic AI.- Federated Learning and Privacy-Preserving Genomics.- AI for Clinical Genomics: Diagnostics and Prognostics.- AI-Driven Drug Discovery and Pharmacogenomics.- Population Genomics and Public Health Applications.- Ethical, Legal, and Societal Implications in Genomic AI.- Future Perspectives: Generative Models, Digital Twins, and Personalized Medicine.- Conclusion.
Khalid Shaikh is the founder and CEO of Prognica Labs, a healthtech company. Prognica Labs is focused on revolutionizing the healthcare sector through artificial intelligence and advanced analytics, particularly in the early detection of diseases. His work is centered around leveraging technology to improve patient outcomes, reduce healthcare costs, and make advanced diagnostic tools more accessible to a broader population. Khalid Shaikh is serial entrepreneur, researcher, author, and business strategist. He is also a member of HBR Advisory Council and has received numerous awards for his innovations and contribution in healthcare and public health. In addition to his professional commitments, he also gives back to the aspiring entrepreneur community by serving as an advisor and mentor. He has published and lectured extensively on healthcare performance improvement, digitalization, and innovation.
Dr. Rohit Thanki is an AI & MedTech Innovator and data scientist with over 12 years of scientific research experience and over 5 years in AI-powered MedTech startups. He currently serves as a Technical Lead & Data Scientist at DetMedX, Wolfsburg, Germany, where he leads the development of innovative, AI-driven healthcare solutions. Before this, he held leadership roles such as Head of R&D at Prognica Labs, Dubai, and worked as a Software Consultant at Ennoventure Technologies, India. He earned his Ph.D. in biometric security and data encryption from C. U. Shah University, Gujarat, India. He has since mentored several Ph.D. and master's research students across institutions in Germany and India. His expertise spans medical image analysis, artificial intelligence, machine learning, computer vision, digital watermarking, content security, and signal processing. He has led AI projects involving a variety of medical imaging modalities, including X-ray, MRI, CT, ultrasound, and mammography. Stanford University and Elsevier recognized Dr. Thanki among the Top 2% of AI and image processing scientists in 2024. He has authored over 20 technical books (16 of which are indexed in Scopus) and published more than 100 research articles in reputed journals and conferences indexed in Scopus and the Web of Science. His work has been cited over 2,400 times and has an h-index of 23. Dr. Thanki is an active Senior Member of IEEE and the German AI Association. He serves on editorial boards for several international journals, including BMC Digital Health (Springer Nature) and PLOS ONE. He is also a frequent reviewer for top-tier journals such as IEEE Access, Pattern Recognition, and the IEEE Journal of Biomedical and Health Informatics. His current research focuses on integrating AI in medical diagnostics, explaining AI in healthcare, and using cryptographic techniques for medical data security. He is passionate about bridging clinical practice with cutting-edge AI technology to enhance diagnostic accuracy and patient outcomes.
Dr. Sejal Shah is currently serving as the Head & Associate Professor for the Department of Bioinformatics, Faculty of Engineering and Technology, Marwadi University, Rajkot. She is also serving as a Cancer Geneticist at various multispecialty hospitals in Rajkot, Gujarat. She is a visiting faculty member at IIIT Diu International Campus and Saurashtra University. She has been selected as one of the top 10 women scientists and awarded the In
