October 2024
Intermediate to advanced
560 pages
14h 37m
English
book
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
by Shilpa Choudhary, Sandeep Kumar, Swathi Gowroju, Monali Gulhane, R. Sri Lakshmi
Content preview from Genomics at the Nexus of AI, Computer Vision, and Machine Learning
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Preface
This book is a comprehensive guide that will help readers understand the dynamic intersection between genomics and cutting-edge technologies. In an era where scientific progress accelerates unprecedentedly, this volume aims to provide a roadmap for navigating the intricate landscape where genomics converges with artificial intelligence (AI), computer vision, and machine learning. These developments have opened up new research, innovation, and exploration avenues.
The rapid advancements in genomics have propelled our understanding of the intricacies of life itself. Genomics is a cornerstone of biological research, from unravelling the genetic basis of diseases to unlocking the secrets of evolution. Concurrently, AI, computer vision, and machine learning have witnessed extraordinary strides, transformed industries, and reshaped how we process information. The convergence of these fields offers unparalleled opportunities for innovation, promising breakthroughs that could revolutionize personalized medicine, drug discovery, and beyond.
On this intellectual journey, our primary objective is to demystify the synergies between genomics and the triad of AI, computer vision, and machine learning. This book has been crafted for a diverse audience, spanning researchers, clinicians, students, and industry professionals, and fosters a shared understanding of the transformative potential within our grasp.
Each chapter unfolds a unique facet of the interdisciplinary landscape, delving ...
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