The rapid advancement of artificial intelligence (AI) has revolutionised various scientific domains, with genetics emerging as a particularly transformative field. Applications of Artificial Intelligence in Genetics offers a comprehensive exploration of how AI methodologies are reshaping genetic research and healthcare. Beginning with foundational concepts, the book provides an overview of AI's integration into biological sciences, emphasising its pivotal role in handling and interpreting vast and complex genetic datasets. Key chapters delve into the use of machine learning in genome-wide association studies (GWAS), gene expression profiling, and personalised genomic medicine, showcasing practical implementations and ground-breaking discoveries. Deep learning techniques and their applications in predictive modelling and variant interpretation are examined in detail, underscoring the growing sophistication of AI tools in genetics. The book also addresses critical challenges, such as data privacy, algorithmic bias, and ethical considerations, while outlining potential future directions for AI-driven genetic research. This interdisciplinary volume is intended for researchers, practitioners, and students seeking to understand and contribute to the dynamic intersection of artificial intelligence and genetics.
Author (s) Details
Dr. D. Udaya Kumar
Human Genetics Department, Andhra University, Visakhapatnam, Andhra
Pradesh, India.
Dr. Rooth Vasantha
Medapati
Human Genetics Department, Andhra University, Visakhapatnam, Andhra
Pradesh, India.
Prof. Saritha
Medapati
Vignan Institute of Pharmaceutical Technology, Duvvada, Visakhapatnam,
Andhra Pradesh, India.
Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-49970-45-8
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