92. Predicting hypertension using machine learning: Findings from Qatar Biobank Study
Latifa A. AlKaabiID, Lina S. AhmedID, Maryam F. Al AttiyahID, Manar E. Abdel-RahmanID*
91. Optical Disc Segmentation from Retinal Fundus Images Using Deep Learning
Mohammad Tariqul Islam , Ferdaus Ahmed , Mowafa Househ , Tanvir Alam
90. A Deep Learning-Based Approach Towards Simultaneous Localization of Optic Disc and Fovea from Retinal Fundus Images
Mohammad Tariqul Islam , Ferdaus Ahmed , Mowafa Househ , Tanvir Alam
89. An Overview of Metabolomics Studies Based on Qatari Population
Fatima Lamya,Afeefa Khalisa , Fatima Naji , Rawan Salih , Mowafa Househ , Zubair Shah , Tanvir Alam
88. The link between glycemic control measures and eye microvascular complications in a clinical cohort of type 2 diabetes with microRNA 223 3p signature
Sahar I. Da’as, Ikhlak Ahmed, Waseem H. Hasan, Doua A. Abdelrahman, Elbay Aliyev, Sabah Nisar, Ajaz Ahmad Bhat, Mugdha V. Joglekar, Anandwardhan A. Hardikar, Khalid A. Fakhro & Ammira S. Al-Shabeeb Akil
87. Assessing the risk of cardiovascular diseases in relation to shisha smoking among adults in Qatar: An analytical cross-sectional study
Elhassan Mahmoud , Ahmed Eliwa , Yasmin Elsalakawi, Alghalya Al-Emadi , Fathima Mahmood , Noof Al-Qahtani , Wafaa Al-Mannai , Habib H Farooqui , Susu M Zughaier
86. Studying carrier frequency of spinal muscular atrophy in the State of Qatar and comparison to other ethnic groups:Pilot study
Faisal Ibrahim1 , Dinesh Velayutham, Mohamed Alsharshani1 , Usama AlAlami, Manar AlDewik, Tala Abuarja Hilal Al Rifai, Nader I. Al-Dewik
85. Serum Magnesium is Inversely Associated with Body Composition and Metabolic Syndrome
AlMaha Al Shammaa, Amna Al-Thani, Maryam Al-Kaabi, Kaltham Al-Saeed, Maria Alanazi, Zumin S
84. Rice Intake Is Associated with Longer Reaction Time and Interacts with Blood Lipids and Hypertension among Qatari Adults
Elrahmani A, Youssef F, Elsayed H, Mohamed N, El-Obeid T, Shi Z.
83. Comparing the Metabolic Profiles Associated with Fitness Status between Insulin-Sensitive and Insulin-Resistant Non-Obese Individuals.
AlMuraikhy S, Anwardeen N, Naeem A, Sellami M, Domling A, Agouni A, Elrayess MA.