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AI for Bioinformatics: Turning Genetic Data into Medical Insights by Sumathi P
English | September 18, 2025 | ISBN: N/A | ASIN: B0FRSRCQ99 | 473 pages | PDF | 11 Mb
The explosion of genetic and molecular data over the past two decades has opened unprecedented opportunities for understanding human health and disease. Yet, the sheer volume and complexity of this data have outpaced traditional methods of analysis. AI for Bioinformatics: Turning Genetic Data into Medical Insights explores how artificial intelligence-particularly machine learning and deep learning-is transforming the field of bioinformatics by enabling researchers and clinicians to extract meaningful patterns, predict disease risk, and uncover novel therapeutic targets from genomic data.
This book is written for data scientists, bioinformaticians, biomedical researchers, and healthcare professionals who are navigating the intersection of biology and AI. It combines theoretical foundations with practical applications, illustrating how AI models can be trained on genetic sequences, expression profiles, and multi-omics datasets to drive discoveries in personalized medicine. Whether you are building algorithms or interpreting their results, this book aims to provide both the conceptual understanding and the real-world tools needed to unlock the full potential of genetic data in modern medicine.
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