Mehta, Sanjeev

Insulin dose optimization using an automated artificial intelligence-based decision support system in youths with type 1 diabetes

Nimri, R., Battelino, T., Laffel, L. M., Slover, R. H., Schatz, D., Weinzimer, S. A., Dovc, K., Danne, T., Phillip, M., NextDREAM Consortium, et al. (2020) · Nature Medicine

Diabetes Management and ResearchDiabetes Management and Education

Cited by 242

Real-world use and modeled impact of glucose-lowering therapies evaluated in recent cardiovascular outcomes trials: An NCDR® Research to Practice project

Arnold, S. V., Inzucchi, S. E., Tang, F., McGuire, D. K., Mehta, S. N., Maddox, T. M., Goyal, A., Sperling, L. S., Einhorn, D., Wong, N. D., et al. (2017) · European Journal of Preventive Cardiology

Diabetes Treatment and ManagementHeart Failure Treatment and Management

Cited by 144

Use of intensive glycemic management in older adults with diabetes mellitus

Arnold, S. V., Lipska, K. J., Wang, J., Seman, L., Mehta, S. N., & Kosiborod, M. (2018) · Journal of the American Geriatrics Society

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 74

Associations of nutrient intake with glycemic control in youth with type 1 diabetes: differences by insulin regimen

Katz, M. L., Mehta, S., Nansel, T., Quinn, H., Lipsky, L. M., & Laffel, L. M. B. (2014) · Diabetes Technology & Therapeutics

Diabetes Management and ResearchDiabetes Management and Education

Cited by 65