ARTIFICIAL INTELLIGENCE AND KETOSIS: EXPERIMENTAL AND ANALYTICAL PERSPECTIVES

Авторы

  • Gurbanova Nailya Senior Lecturer, Azerbaijan State Agricultural University, Ganja, Azerbaijan Автор
  • Mehtiyev Agil Teacher, Azerbaijan State Agricultural University, Ganja, Azerbaijan. Автор
  • Khalilova Gunel Teacher, Azerbaijan State Agricultural University, Ganja, Azerbaijan. Автор
  • Babayeva Turkan Teacher, Azerbaijan State Agricultural University, Ganja, Azerbaijan. Автор
  • Meyfaliyeva Aynur Teacher, Azerbaijan State Agricultural University, Ganja, Azerbaijan. Автор

DOI:

https://doi.org/10.65164/mye74953

Аннотация

The rapid development of digital technologies has significantly influenced modern healthcare
systems. In this context, the interaction between Ketosis and Artificial Intelligence represents an
important area of interdisciplinary research. This study explores the physiological mechanisms of
ketosis, the role of artificial intelligence in metabolic monitoring, and incorporates experimental
animal-based analytical results to provide a comprehensive perspective.

Библиографические ссылки

[1] Cahill, G. F. (2006). Fuel metabolism in starvation. Annual Review of Nutrition, 26, 1–22.

[2] Paoli, A., et al. (2013). Ketogenic diet applications. European Journal of Clinical Nutrition,

67(8), 789–796.

[3] Kitabchi, A. E., et al. (2009). Hyperglycemic crises in diabetes. Diabetes Care, 32(7), 1335–

1343.

[4] Eric Topol (2019). Deep Medicine.

[5] Contreras, I., & Vehi, J. (2018). AI in diabetes management. Journal of Diabetes Science and

Technology, 12(4), 689–695.

[6] Shah, V. N., et al. (2019). Artificial pancreas systems. Diabetes Technology & Therapeutics,

21(S2), S-254–S-259.

Загрузки

Опубликован

2026-04-14

Выпуск

Том 2 № 3 (2026): “AMALIY FANLAR SOHASIDA SUN’IY INTELLEKTNI QO‘LLASHNING ZAMONAVIY TENDENSIYALARI, MUAMMOLARI VA ISTIQBOLLARI” mavzusidagi xalqaro ilmiy-amaliy konferensiya materiallari to‘plami (10-11 aprel),TAFU

Раздел

Articles