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Systems Biology and Machine Learning Methods in Reproductive Health

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Systems Biology and Machine Learning Methods in Reproductive Health Synopsis

Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders.

Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.

About This Edition

ISBN: 9781032755519
Publication date:
Author: Abhishek Sengupta, Priyanka Narad, Dinesh Gupta, Deepak Modi
Publisher: Chapman & Hall/CRC an imprint of CRC Press
Format: Hardback
Pagination: 186 pages
Series: Chapman & Hall/CRC Computational Biology Series
Genres: Biology, life sciences
Birth control, contraception, family planning
Reproductive medicine
Automatic control engineering
Systems analysis and design
Artificial intelligence

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