Tag: <span>managing diabetes</span>

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MAP3K15 variant found to be a potential target for managing diabetes
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MAP3K15 variant found to be a potential target for managing diabetes

by Bob Yirka, Medical Xpress MAP3K15 quantitative trait and disease signatures. (A) Genes with the most similar quantitative trait profiles to MAP3K15 in the UKB, derived from Gene-SCOUT. (B) Linear regression coefficients for HbA1c and glucose from collapsing analysis models for genes in (A) (genes are sorted from top to bottom in decreasing order of...

A machine-learning approach to managing diabetes and cardiovascular risk
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A machine-learning approach to managing diabetes and cardiovascular risk

by Elisabeth Reitman, Yale University Credit: CC0 Public Domain A novel online tool called INSIGHT offers a machine learning-based approach when prescribing sodium-glucose cotransporter-2 (SGLT2) inhibitors to maximize the benefit for patients with Type 2 diabetes. The study, led by Yale researcher Rohan Khera, MD, MS, appears February 4 in the journal Diabetes Care. The study’s first...