Tag: UT Arlington
-
AI and Bayesian Modeling Advancing Disease Research at UT Arlington
Overview: Accelerating disease research with AI and Bayesian modeling At the University of Texas at Arlington, researchers are building a powerful bridge between artificial intelligence and statistics to unlock the secrets hidden in massive biological datasets. By combining AI-driven pattern discovery with transparent Bayesian modeling, UT Arlington data scientists are developing tools that help scientists…
-
AI and Bayesian Modeling Advance Disease Research at UT Arlington
Pioneering AI and Bayesian Analytics at UT Arlington At The University of Texas at Arlington, a team of data scientists is pushing the boundaries of disease research by marrying artificial intelligence with principled Bayesian statistics. Their work aims to unlock rapid, interpretable insights from massive biological datasets—especially CyTOF and single-cell sequencing—so scientists can better understand…
-
AI and Bayesian Modeling at UT Arlington Advancing Disease Research
AI and Bayesian modeling accelerate disease research at UT Arlington Artificial intelligence is transforming how researchers interpret vast biological datasets, but the real breakthroughs come from the people designing the algorithms. At the University of Texas at Arlington, a team of data scientists is building sophisticated statistical tools that let AI uncover how diseases begin,…
-
SDMA as a Predictor of Cardiovascular Risk in CKD Patients
New findings reshape how we view blood markers in CKD and cardiovascular risk When researchers at the University of Texas at Arlington set out to understand why people with chronic kidney disease (CKD) often die from heart problems rather than kidney failure, they revisited a long-standing assumption about blood markers. For years, scientists highlighted ADMA…
-
Inactive SDMA Emerges as Potential Predictor of Cardiovascular Risk in CKD
New Findings Reframe SDMA’s Role in CKD-Related Cardiovascular Risk When researchers at the University of Texas at Arlington set out to understand why people with chronic kidney disease (CKD) are at heightened risk for heart problems, they revisited a long-standing assumption. For years, ADMA—asymmetric dimethylarginine—has been considered a warning sign for vascular dysfunction. But a…
-
SDMA Emerges as Predictor of Cardiovascular Risk in CKD
New insight into SDMA and cardiovascular risk in chronic kidney disease Chronic kidney disease (CKD) is a condition where the risk of heart and blood vessel problems often overshadows the dysfunction of the kidneys themselves. For years, researchers have highlighted ADMA — asymmetric dimethylarginine — as a warning sign of vascular trouble. But a recent…