Personal care products are among the largest everyday sources of exposure to endocrine-disrupting chemicals, and high schoolers who follow social media influencers or watch beauty tutorials seem to use considerably more of…
Findings by scientists at Brown University help explain declining malaria drug susceptibility and highlight the urgent need to track mutations and improve current therapies. Researchers searching for genetic clues to the growing…
Wearable sensors coupled with AI can generate blood pressure readings nearly as well as the invasive and risky arterial lines relied on in intensive care units and operating rooms, new work by…
Scientists have combined Artificial Intelligence (AI), genetics and gut microbiome analysis to shed new light on one of the most serious complications of Crohn’s disease: intestinal fibrosis, the irreversible scarring of the bowel that often leads…
UCSF trial found fewer premature heartbeats after cannabis inhalation, with potential implications for atrial fibrillation risk Habitual cannabis users experienced about 9% fewer premature heartbeats on days they inhaled cannabis compared with…
For some, abstaining from alcohol can subsequently increase compulsive drinking. Our research team found that, in abstaining mice, this urge to drink is preceded by changes in the activity of a particular…
Dr. Steven Heymsfield and Dr. Adam Gilden’s Obesity journal editorial highlights emerging benefits and questions surrounding this rapidly expanding class of medications GLP-1 receptor agonists and dual agonists have transformed the treatment…
A new study by MIT researchers shows that inhibiting caspase-1 can reduce the risk of tumor growth Every year, lung cancer kills more than 100,000 people in the United States. Smoking is…
An international study led by Mayo Clinic researchers has identified interleukin-6 (IL-6) receptor blockers as a promising option for preventing relapses in myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). MOGAD is a rare autoimmune neurological disorder…
A new study led by researchers at Wake Forest University School of Medicine has found that artificial intelligence (AI) can help clinicians identify signs of heart failure, including a type that is often missed in routine…