Adding genetic data to steroid prescribing can help predict side effects
Reports and Proceedings
Updates every hour. Last Updated: 23-Jun-2026 19:16 ET (23-Jun-2026 23:16 GMT/UTC)
Steroids are widely prescribed but side effects are common. Researchers have found that certain genetic variants increase the risk of side effects such as osteoporosis, stroke, and cataracts and say that integrating these data into steroid prescribing can improve the prediction of risk and thus enable doctors to prescribe them more appropriately.
Adults with obesity losing weight with glucagon-like peptide-1 (GLP-1) receptor agonist medications significantly decreased their physical activity, which is essential to protect muscle, according to a study being presented Saturday at ENDO 2026, the Endocrine Society’s annual meeting in Chicago, Ill.
A study of a new AI model examining 30 years of routine electronic health records (EHR) data could improve screening for primary aldosteronism, a leading cause of high blood pressure that is often unrecognized but increases patients’ risk of cardiovascular complications, according to a study being presented Saturday at ENDO 2026, the Endocrine Society’s annual meeting in Chicago, Ill.
Researchers have developed a new way of testing for foetal abnormalities using a simple blood draw from the mother that is able to identify a very high proportion of the clinically relevant genetic variants that are currently only detectable by invasive testing.