The BMJ

When I use a word . . . Artificial intelligence—predicting and detecting adverse drug reactions

The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of ...
RMD Open

Sex and anticitrullinated protein antibodies modify the relationship between inflammation and cardiovascular risk in rheumatoid arthritis

Objectives Female sex and anticitrullinated protein antibodies (ACPA) are associated with higher disease activity in ...
AZoRobotics

Using Deep Learning to Predict Disease Progression in Chronic Illnesses

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Open Heart

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...