January 29, 2026 | Hursting News, Machine Learning, News
Can your body predict how well you will lose weight—before you even start dieting? New research led by scientists at the UNC Nutrition Research Institute (NRI) suggests that the answer may one day be yes. In a recent study published in PLOS ONE, researchers found that small molecules produced during metabolism—called metabolites—may help predict who will respond best to calorie-restricted diets. The idea that future weight-loss success could be anticipated in advance represents a major step toward more personalized, effective approaches to obesity and metabolic health.
December 4, 2025 | Hursting News, Machine Learning, News, Trujillo News
When researchers move beyond a one-size-fits-all approach and engage families as true partners, they can design interventions that reflect real experiences and lead to meaningful, lasting change.
August 22, 2025 | Hursting News, Machine Learning, News
What if a simple blood test could reveal who is more likely to face cancer or early death years before symptoms appear?
May 23, 2025 | Hursting News, News
A new study from the UNC Nutrition Research Institute (NRI), published in the American Journal of Physiology, reveals metabolic markers that may predict weight loss success on calorie restriction (CR). Led by Evan Paules, PhD, a postdoctoral fellow in the Hursting...
April 10, 2025 | Hursting News, News, Trujillo News
On March 14, Isis Trujillo-Gonzalez, PhD, an Assistant Professor of Nutrition at the UNC Nutrition Research Institute (NRI) shared a presentation titled, “Beyond Macronutrients: The Influence of Dietary Choline on Obesity and Thermogenic Regulation” at the Advanced...
