Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Hemanth, K.S.; Fathima, Noorain; Sridhar, G.D. Title A name given to the resource Hormone Balancing Through Nutrition:Nutritional Strategies and AI Tools to Balance Hormones Associated with PCOS Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived AI-Based Nutritional Intervention in Polycystic Ovary Syndrome (PCOS);pp.213-231 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-2120-0_8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-2120-0_8</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105008681205?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008681205?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Subject The topic of the resource AI-driven personalized nutrition; Data privacy and ethics; Hormonal regulation; PCOS management; Predictive and proactive care Publisher An entity responsible for making the resource available Springer Nature Relation A related resource ISBN: 978-981962120-0; 978-981962119-4; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online