TOPLINE: A high-fiber diet affects small intestine metabolism, spurring release of the appetite-suppressing gut hormone peptide tyrosine tyrosine (PYY) more than a low-fiber diet, and it...
An artificial-intelligence (AI)-enabled system of wearable coils and ingestible “smart” pills shows promise for identifying and tracking gasses in the gastrointestinal (GI) tract associated with digestive...
TOPLINE: A higher intake of ultraprocessed foods increases the risk for systemic lupus erythematosus (SLE) by over 50% in women. The risk doubled in those with...
A work group convened by the Alzheimer’s Association has released revised biology-based criteria for the diagnosis and staging of Alzheimer’s disease (AD), including a new biomarker...
TOPLINE: A study found that patients who die by suicide within a year after discharge from inpatient mental health care are less likely to have primary...
TOPLINE: Over 80% of women with new-onset hypertensive disorders during pregnancy experienced persistent hypertension in the 6 weeks after delivery. METHODOLOGY: Researchers analyzed data from 2705...
TOPLINE: A new analysis showed that preeclampsia is associated with an increased risk for young-onset dementia. METHODOLOGY: Researchers analyzed data from the French Conception study, a...
SAN DIEGO — ChatGPT, an artificial intelligence (AI) tool that can provide headache information, makes significant errors regarding migraine drug treatments but does better when it...
“Having butterflies in the stomach” is not just a figure of speech: Our stomach and our emotions move together. This phenomenon has been measured by Giuseppina...
BOSTON — Men who stop using performance-enhancing anabolic-androgenic steroids (AAS) experience significant depression, anxiety, and diminished sexual function within the first year after quitting, new research...
Do drugs work better if taken by the clock? A new analysis published in this month’s issue of The Lancet journal’s eClinicalMedicine suggests: Yes, they do...
TOPLINE: An artificial intelligence–based model that incorporates polygenic and multi-image risk scores with key demographic variables effectively identifies individuals at a high risk for type 2...