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Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST - IT Ramadan study).
Elhadd T, Mall R, Bashir M, Palotti J, Fernandez-Luque L, Farooq F, Mohanadi DA, Dabbous Z, Malik RA, Abou-Samra AB; for PROFAST-Ramadan Study Group. Elhadd T, et al. Among authors: bashir m. Diabetes Res Clin Pract. 2020 Nov;169:108388. doi: 10.1016/j.diabres.2020.108388. Epub 2020 Aug 26. Diabetes Res Clin Pract. 2020. PMID: 32858096 Free article.
Metabolomic Profiling of Pregnancies With Polycystic Ovary Syndrome Identifies a Unique Metabolic Signature and Potential Predictive Biomarkers of Low Birth Weight.
Diboun I, Ramanjaneya M, Ahmed L, Bashir M, Butler AE, Albagha O, Abou-Samra AB, Atkin SL, Mazloum NA, Elrayess MA. Diboun I, et al. Among authors: bashir m. Front Endocrinol (Lausanne). 2021 Jun 15;12:638727. doi: 10.3389/fendo.2021.638727. eCollection 2021. Front Endocrinol (Lausanne). 2021. PMID: 34211435 Free PMC article.
1,439 results