https://stm2.bookpi.org/AAIG <p>The remarkable convergence of Artificial Intelligence (AI) and genetics marks a transformative era in the life sciences. With the exponential growth of biological data and advances in computational power, AI has become an indispensable tool for decoding the complexity of the genome, driving new insights, and enabling precision in medical interventions. This book, <em>Applications of Artificial Intelligence in Genetics</em>, aims to explore the dynamic intersection of these two cutting-edge fields, providing a comprehensive understanding of how AI is reshaping genetic research and applications.</p> <p>The journey begins with an <strong>Introduction</strong> to the fundamental concepts, setting the stage for readers with varied backgrounds. Chapter II offers an <strong>Overview of Artificial Intelligence in Biology</strong>, establishing the context and relevance of AI methods in the broader biological landscape.</p> <p>From Chapter III onward, the focus narrows to the direct applications in genetics. <strong>AI in Genetic Data Analysis</strong> covers how machine learning and pattern recognition enhance the interpretation of complex datasets. Chapter IV delves into the use of <strong>Machine Learning for Genome-Wide Association Studies (GWAS)</strong>, a pivotal area in identifying genetic variants linked to diseases.</p> <p><strong>AI in Gene Expression Profiling</strong> (Chapter V) and <strong>AI in Genomic Medicine</strong> (Chapter VI) highlight how AI facilitates understanding of gene activity and personalises therapeutic strategies. Chapter VII, <strong>Deep Learning Applications in Genetics</strong>, showcases the most advanced techniques in neural networks and their ability to model intricate genetic interactions.</p> <p>No exploration of such a rapidly advancing field is complete without acknowledging its limitations. Chapter VIII addresses <strong>Challenges and Ethical Considerations</strong>, recognising the importance of responsible innovation. In Chapter IX, <strong>Future Directions</strong>, we speculate on the potential trajectories and upcoming breakthroughs. The book concludes with a summarisation in Chapter X and a comprehensive <strong>Bibliography</strong> in Chapter XI for further study.</p> <p>This book is intended for researchers, students, and professionals across disciplines—genetics, computer science, bioinformatics, and biomedical engineering—who are eager to understand and contribute to the growing field of AI-driven genetics. We hope this work serves as both a guide and an inspiration for those working at the frontier of modern science and technology.</p> en-US Applications of Artificial Intelligence in Genetics https://stm2.bookpi.org/AAIG/article/view/41 <p>The rapid advancement of artificial intelligence (AI) has revolutionised various scientific domains, with genetics emerging as a particularly transformative field. <em>Applications of Artificial Intelligence in Genetics</em> offers a comprehensive exploration of how AI methodologies are reshaping genetic research and healthcare. Beginning with foundational concepts, the book provides an overview of AI's integration into biological sciences, emphasising its pivotal role in handling and interpreting vast and complex genetic datasets. Key chapters delve into the use of machine learning in genome-wide association studies (GWAS), gene expression profiling, and personalised genomic medicine, showcasing practical implementations and ground-breaking discoveries. Deep learning techniques and their applications in predictive modelling and variant interpretation are examined in detail, underscoring the growing sophistication of AI tools in genetics. The book also addresses critical challenges, such as data privacy, algorithmic bias, and ethical considerations, while outlining potential future directions for AI-driven genetic research. This interdisciplinary volume is intended for researchers, practitioners, and students seeking to understand and contribute to the dynamic intersection of artificial intelligence and genetics.</p> Dr. D. Udaya Kumar Dr. Rooth Vasantha Medapati Prof. Saritha Medapati Copyright (c) 2025 Author(s). The licensee is the publisher (BP International). 2025-06-21 2025-06-21 1 73 10.9734/bpi/mono/978-93-49970-45-8