ARTIFICIAL INTELLIGENCE - BASED PERSONALIZED HORMONE THERAPY PLANNING

• Abduganieva Shakhina

  Tashkent State Medical University No. 1 of the General Medicine Faculty, Student Group 109 Tashkent, Uzbekistan

  Author

• Fazliddin Arzikulov

  Assistant of the Department of Biomedical Engineering, Informatics and Biophysics at the Tashkent State Medical University

  Author

Hormone therapy is widely used in the management of endocrine disorders, reproductive health conditions, and gender-affirming care. However, conventional hormone therapy protocols are often standardized and may not adequately account for inter-individual variability in genetics, metabolism, lifestyle, and treatment response. Artificial intelligence (AI) offers a promising approach to developing personalized hormone therapy plans by integrating large-scale patient data and advanced predictive modeling. This study explores the conceptual framework, methodological design, and potential clinical benefits of AI-driven individualized hormone therapy planning. The findings suggest that AI-based systems can improve treatment precision, reduce adverse effects, and support clinical decision-making, while also highlighting ethical and data-related challenges.

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