Maria F Gomez

Professor of Physiology; Director Lund University Diabetes Centre

Lund University

Sweden

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Maria F Gomez is a Professor of Physiology and the Director of the Lund University Diabetes Centre at Lund University, Sweden. Her research focuses on precision medicine, particularly in the context of diabetes and associated metabolic disorders. Recent publications include systematic reviews and studies on genotype-stratified treatments, machine learning models for diabetic complications, and the prognostic factors in cardiovascular disease and gestational diabetes.

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2024

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2021

Collaborators (1)

Richard Davies

University of Hertfordshire

UNITED KINGDOM

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Maria F Gomez

Research Interests

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Articles (20)

Genotype-stratified treatment for monogenic insulin resistance: a systematic review (Vol 3, 134, 2023)

Machine Learning Models for Prediction of Diabetic Microvascular Complications

Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis

Precision stratification of prognostic risk factors associated with outcomes in gestational diabetes mellitus: a systematic review

Subclassification of obesity for precision prediction of cardiometabolic diseases: an IMI SOPHIA study

A precision medicine approach to coronary artery disease risk prediction and mitigation in people with type 2 diabetes

Different roles of protein biomarkers predicting eGFR trajectories in people with chronic kidney disease and diabetes mellitus: a nationwide retrospective cohort study

Disease-modifying therapies and features linked to treatment response in type 1 diabetes prevention: a systematic review

Endogenous incretin levels and risk of first incident cancer: a prospective cohort study

Genetic studies of paired metabolomes reveal enzymatic and transport processes at the interface of plasma and urine

A regression discontinuity analysis of the social distancing recommendations for older adults in Sweden during COVID-19

App-based COVID-19 syndromic surveillance and prediction of hospital admissions in COVID Symptom Study Sweden

Validation of the classification for type 2 diabetes into five subgroups: a report from the ORIGIN trial

Attributes and predictors of long COVID

Attributes and predictors of long COVID (vol 27, pg 626, 2021)

Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study

Glucose-Dependent Insulinotropic Peptide in the High-Normal Range Is Associated With Increased Carotid Intima-Media Thickness

Perspectives on a Way Forward to Implementation of Precision Medicine in Patients With Diabetic Kidney Disease; Results of a Stakeholder Consensus-Building Meeting

Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app

Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts

Collaborators (1)

Richard Davies

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