- Rakhmatova Markhabo Rasulovna
PhD, Associate Professor of the department of Clinic pharmacology of the Bukhara State Medical Institute named after Abu Ali ibn Sino, 200126, Gijduvan Str., 23, Bukhara, Uzbekistan
https://orcid.org/0000-0003-1350-8885 - Teshaev Shukhrat Jumayevich
Doctor of Medical Sciences, Professor of the Department of Anatomy, Clinical Anatomy and Operative Surgery with Topographic Anatomy at the Bukhara State Medical Institute named after Abu Ali ibn Sino. Bukhara, Uzbekistan
https://orcid.org/0009-0002-1996-4275 - Mukhamedova Shakhnoza Tolibovna
Head of department 2- Pediatrics of the Bukhara State Medical Institute named after Abu Ali ibn Sino, 200126, Gijduvan Str., 23, Bukhara, Uzbekistan.
https://orcid.org/0000-0002-7874-4275 - Badridinova Barnokhon Kamalidinovna
PhD, Associate Professor, Head of the Department of Endocrinology, Bukhara State Medical Institute named after Abu Ali Ibn Sino, 200126, Gijduvan Str., 23, Bukhara, Uzbekistan.
- Shаdiyeva Shodiya Shuxratovna
Professor at the Department of Fundamental Medical Sciences, Asian International University (Bukhara, Uzbekistan), 200126, Gijduvan Str., 23, Bukhara, Uzbekistan.
https://orcid.org/0000-0003-0170-7940 - Yulduz Mirbaratovna Isamukhametova
PhD of the Department of Rehabilitology, traditional folk medicine and physical education of the Tashkent State Medical University, Uzbekistan.
https://orcid.org/0009-0005-4785-1288
Volume 11 - No: 3
Morphofunctional Determinants of Decreased Bone Mineral Density: Development and Validation of a Predictive Risk-Stratification Model for Personalized Pharmacoprophylaxis
DOI: 10.28978/nesciences.263037
Keywords: Bone mineral density, osteoporosis, osteopenia, dual-energy X-ray absorptiometry (DXA), bioelectrical impedance analysis, BoneTrack; artificial intelligence, machine learning, clinical decision support system, risk stratification, personalized pharmacoprophylaxis.
Abstract
Reduced bone mineral density (BMD) is a major public health concern because of its high prevalence and its association with osteopenia, osteoporosis, and fragility fractures. Advances in digital health technologies and artificial intelligence provide new opportunities for early risk stratification and personalized prevention of bone metabolism disorders. To develop and clinically validate the BoneTrack intelligent algorithm for personalized risk stratification of reduced bone mineral density using anthropometric characteristics, nutritional habits, physical activity, and lifestyle-related risk factors. A pilot observational study was conducted involving 254 adults aged 20–74 years (mean age 48.6 ± 13.2 years) in the Bukhara region of Uzbekistan between 2022 and 2025. Participants used the BoneTrack mobile platform for one month. The algorithm analyzed demographic characteristics, anthropometric measurements, body mass index, dietary patterns, physical activity, and lifestyle factors to calculate an Integrated Bone Density Index (IBDI) and classify participants into low-, moderate-, and high-risk categories for reduced BMD. BoneTrack successfully generated individualized digital risk profiles for all participants and identified significant age-related and lifestyle-associated differences in the Integrated Bone Density Index. The algorithm automatically stratified participants into predefined risk categories and generated personalized preventive recommendations. The platform demonstrated the feasibility of integrating multiple clinical and behavioral variables into a unified digital decision-support system for early identification of individuals at increased risk of reduced bone mineral density. The BoneTrack mobile platform represents a promising digital clinical decision-support tool for the preliminary assessment of reduced bone mineral density risk. The algorithm facilitates early identification of high-risk individuals, supports personalized pharmacoprophylactic strategies, and may improve preventive management of metabolic bone disorders in routine clinical practice.