Search Results - "Dabbous, Zainab"

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) by Elhadd, Tarik, Mall, Raghvendra, Bashir, Mohammed, Palotti, Joao, Fernandez-Luque, Luis, Farooq, Faisal, Mohanadi, Dabia Al, Dabbous, Zainab, Malik, Rayaz A., Abou-Samra, Abdul Badi

“…To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic…”
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Mitigation of hypoglycemia during Ramadan using the flash glucose monitoring system following dose adjustment of insulin and sulphonylurea in patients taking multiple glucose-lowering therapies (The PROFAST-IT Study) by Elhadd, Tarik, Bashir, Mohamed, Baager, Khaled A., Ali, Hamda A., Almohannadi, Dabia H.S., Dabbous, Zainab, Malik, Rayaz A., Abou-Samra, Abdul-Badie

“…Patients with type-2 diabetes mellitus (T2DM) on multiple glucose-lowering therapies who fast during Ramadan are at increased risk of hypoglycemia. We have…”
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