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Diabetes, Obesity & Metabolism|September 2, 2022
Metabolic profile-based subgroups can identify differences in brain volumes and brain iron depositionAmanda L Lumsden, Anwar Mulugeta, Ville-Petteri Mäkinen, et al.
Scientific Reports|May 21, 2022
Cross-sectional metabolic subgroups and 10-year follow-up of cardiometabolic multimorbidity in the UK BiobankAnwar Mulugeta, Elina Hyppönen, Mika Ala-Korpela, et al.
Neuroepidemiology|April 1, 2024
Uncovering Predictors of Low Hippocampal Volume: Evidence from a Large-Scale Machine-Learning-Based Study in the UK BiobankYigizie Yeshaw, Iqbal Madakkatel, Anwar Mulugeta, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|March 26, 2025
Machine learning to discover factors predicting volume of white matter hyperintensities: Insights from the UK BiobankYigizie Yeshaw, Iqbal Madakkatel, Anwar Mulugeta, et al.
Journal of Affective Disorders|January 7, 2026
Uncovering plasma protein biomarkers linked to depression: A differential abundance analysis and Mendelian randomization using large-scale dataEndeshaw Abebe, Anwar Mulugeta, Iqbal Madakkattel, et al.
European Journal of Clinical Investigation|June 12, 2023
Hypothesis-free discovery of novel cancer predictors using machine learningIqbal Madakkatel, Amanda L Lumsden, Anwar Mulugeta, et al.
Nutrition Research Reviews|October 10, 2025
Coffee and health outcomes: a systematic review of Mendelian randomisation studiesKitty Pham, Nigussie Assefa Kassaw, Anwar Mulugeta, et al.
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