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This book delves into the transformative role of deep learning in virology, highlighting how advancements in artificial intelligence have revolutionized our understanding, detection, and treatment of viral diseases. By bridging the gap between computational power and biological complexity, deep learning has become an essential tool in modern virology. By combining technical insights with real-world applications, this book provides a comprehensive resource for researchers, students, and professionals at the intersection of computational science and virology. It underscores how deep learning is…mehr

Produktbeschreibung
This book delves into the transformative role of deep learning in virology, highlighting how advancements in artificial intelligence have revolutionized our understanding, detection, and treatment of viral diseases. By bridging the gap between computational power and biological complexity, deep learning has become an essential tool in modern virology. By combining technical insights with real-world applications, this book provides a comprehensive resource for researchers, students, and professionals at the intersection of computational science and virology. It underscores how deep learning is not just a tool but a paradigm shift, paving the way for a future where viral diseases can be understood and managed with unprecedented precision.
Autorenporträt
Nabeeha Abid is a dedicated researcher currently pursuing her M.Phil. in Molecular Pathology and Genomics at Forman Christian College University. She is conducting her research under the supervision of Dr. Muhammad Zubair Yousaf, focusing on the application of deep learning techniques to challenges in molecular biology.