ItemBook Chapter

Hormone Balancing Through Nutrition:Nutritional Strategies and AI Tools to Balance Hormones Associated with PCOS

Title
Hormone Balancing Through Nutrition:Nutritional Strategies and AI Tools to Balance Hormones Associated with PCOS
Creator
Hemanth, K.S.; Fathima, Noorain; Sridhar, G.D.
Description
Polycystic ovary syndrome (PCOS) causes a worldwide disturbance in hormonal equilibrium, leading to a growing need for individualized, non-pharmaceutical therapies. Studies on AI-driven technologies in PCOS have uncovered a groundbreaking approach to regulating hormones through dietary changes. AI algorithms examine individual data, integrating genetics, biomarkers, and dietary habits to provide a distinct metabolic and hormonal profile. Suggested options consist of adaptable meal plans that can adapt to immediate fluctuations in blood sugar and hormones, maximizing nutrition to regulate hormones, reduce inflammation, and enhance general well-being. Additionally, these recommendations provide predictive insights to enable proactive alterations to ones diet. The comprehensive evaluation of limitations and moral considerations about AI highlights the necessity for human expertise and safeguarding of data privacy. Concrete instances from reality and current scientific investigation demonstrate the capacity of AI to enhance the capabilities of women suffering from polycystic ovary syndrome (PCOS). Proposing the integration of AI into evidence-based dietary practices anticipates a future in PCOS care that is tailored, proactive, and data-driven, with the ability to maximize hormonal equilibrium and improve womens well-being. This concise investigation provides significant perspectives for healthcare practitioners engaged in the treatment of PCOS and associated endocrine problems. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Source
AI-Based Nutritional Intervention in Polycystic Ovary Syndrome (PCOS);pp.213-231
Date
01-01-2025
Publisher
Springer Nature
Subject
AI-driven personalized nutrition; Data privacy and ethics; Hormonal regulation; PCOS management; Predictive and proactive care
Coverage
Hemanth K.S., Department of Computer Science, Christ University, Karnataka, Bangalore, India; Fathima N., School of Computer Science and Application, REVA University, Karnataka, Bangalore, India; Sridhar G.D., School of Computer Science and Application, REVA University, Karnataka, Bangalore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-981962120-0; 978-981962119-4;
Format
online
Language
English
Type
Book chapter

Citation

Hemanth, K.S.; Fathima, Noorain; Sridhar, G.D., “Hormone Balancing Through Nutrition:Nutritional Strategies and AI Tools to Balance Hormones Associated with PCOS,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24135.

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