Abstract
<jats:p>The convergence of computer science and life sciences marks one of the most transformative eras in human history. Artificial Intelligence (AI), once a concept confined to theoretical research, is now redefining how we understand biology, diagnose diseases, develop drugs, and deliver healthcare. This book, AI Powered Digital Transformation: Bridging Computer Science and Life Sciences, explores this powerful intersection and its potential to reshape the future. In recent years, advancements in machine learning, data analytics, and computational modeling have enabled scientists and healthcare professionals to decode complex biological systems with unprecedented precision. From genomics and personalized medicine to drug discovery and clinical decision-making, AI is accelerating innovation at a pace previously unimaginable. However, this transformation is not merely technological—it is deeply interdisciplinary. It demands collaboration between computer scientists, biologists, clinicians, and data experts. This book aims to serve as a bridge, offering insights into both domains while highlighting how their integration can solve real-world challenges. The chapters in this book are designed to provide a comprehensive understanding of key concepts, methodologies, and applications. Whether you are a student, researcher, or industry professional, this book will guide you through the foundations of AI and its impactful applications in life sciences. At its core, this work emphasizes not only innovation but also responsibility. As AI becomes more deeply embedded in healthcare and biological research, ethical considerations, data privacy, and transparency must remain at the forefront. This book is an invitation—to explore, to question, and to innovate at the intersection of disciplines. The future of digital transformation lies in collaboration, and this journey has only just begun.</jats:p>