ARTIFICIAL INTELLIGENCE AND KETOSIS: EXPERIMENTAL AND ANALYTICAL PERSPECTIVES

Mualliflar

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

DOI:

https://doi.org/10.65164/mye74953

Abstrak

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.

Havolalar

[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.

Yuklab olishlar

Nashr qilingan

2026-04-14

Son

Jild 2 Nomeri 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

Bo'lim

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