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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