AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.

By Dr. Liji Thomas, MD New research suggests sleeping a little longer on weekends may help people who cut their sleep short ...

Introduction Implementing shared decision-making (SDM) in maternity care remains challenging in low-income and middle-income ...

Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...

Objective Geriatric patients often face issues related to polypharmacy and adverse drug events. Re-evaluating prescribed medications and considering deprescribing is critical. Medication discrepancies ...

Objective This study aims to explore how age and gender are associated with health deterioration related to caregiving among caregivers aged 75 and older in Spain. Design Observational, descriptive, ...

Objective Autoimmune rheumatic diseases, including rheumatoid arthritis (RA), have recently been associated with an increased risk of cancer, particularly head and neck cancer (HNC). This study aimed ...

AI hallucinations explained in plain English: why models invent facts, where errors hurt most, and a practical framework to catch issues before they reach users.

Introduction Glucose is a major determinant of fetal growth, but its relative contribution in different ethnic groups or populations is not fully understood. The Hyperglycaemia and Adverse Pregnancy ...

Background Socioeconomic exposures related to anaemia in Peruvian children have been modelled assuming additive or log-additive relationships, yet such approaches overlook the fact that illness ...

Background Severe aortic stenosis (AS) is commonly associated with advanced cardiac damage, including right ventricular dysfunction (RVD), pulmonary hypertension (PH) and tricuspid regurgitation (TR), ...