Deep learning in virology - Abid, Nabeeha;Rafaqat, Suman;Yousaf, Muhammad.Zubair
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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

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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 was born in Lahore, Pakistan. With a passion for the intersection of science and technology, I pursued a master's degree at Forman Christian College and University. I collaborated closely with Suman Rafaqat, the co-author of this book, whose insights significantly enriched its content under the supervision of Dr.Muhammad Zubair Yousaf.