Integrating Artificial Intelligence, Machine Learning, and Big Data with Genetic Testing and Genomic Medicine to Enable Earlier, Personalized Health Interventions

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Authors

Sambasiva Rao Suura
Sr Integration Developer, Natera Inc, Austin
https://orcid.org/0009-0006-9917-6648

Keywords:

Artificial Intelligence, Machine Learning, Big Data, Genomic Medicine, Genetic Testing, Personalized Medicine, Deep Learning, Predictive Analytics

Synopsis

The convergence of Artificial Intelligence (AI), Machine Learning (ML), and Big Data with genetic testing and genomic medicine marks a transformative era in healthcare. This book explores the powerful synergy among these domains and their potential to reshape the way we understand, predict, and treat disease—ushering in a new age of personalized medicine. Genomic medicine, with its promise of tailoring healthcare based on an individual's genetic profile, has made significant strides in recent years. However, the vast and complex nature of genomic data presents both opportunities and challenges. This is where AI and ML come into play—offering advanced algorithms and predictive models capable of processing enormous datasets, identifying patterns, and generating actionable insights that were previously beyond human capability. Big Data technologies further support this integration by enabling the collection, storage, and analysis of genomic, clinical, lifestyle, and environmental information at an unprecedented scale and speed.

The aim of this book is to provide readers with a comprehensive understanding of how AI, ML, and Big Data are being leveraged to enhance the precision, timing, and impact of genetic testing and interventions. From identifying predispositions to chronic conditions and rare diseases, to optimizing treatment plans and monitoring patient outcomes in real-time, the potential applications are vast and growing. We explore current advancements, real-world applications, and future directions in this rapidly evolving field. Whether you are a researcher, clinician, data scientist, or policy maker, this book offers valuable insights into the opportunities and ethical considerations that lie at the intersection of technology and genomic science.

By harnessing these powerful technologies, we are moving toward a future where healthcare is not only reactive but predictive and preventative—tailored to each individual at the molecular level. This is the promise of personalized medicine, and the journey begins here.

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Front Pages

Published

13 April 2025

Categories

Copyright (c) 2025 Sambasiva Rao Suura

Details about the available publication format: E-Book

E-Book

ISBN-13 (15)

978-93-49307-76-6

Details about the available publication format: Book (Paperback)

Book (Paperback)

ISBN-13 (15)

978-93-49307-07-0

How to Cite

Suura, S. R. . (2025). Integrating Artificial Intelligence, Machine Learning, and Big Data with Genetic Testing and Genomic Medicine to Enable Earlier, Personalized Health Interventions. Deep Science Publishing. https://doi.org/10.70593/978-93-49307-76-6
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