Objective Systemic lupus erythematosus (SLE) is an autoimmune disease characterised by a loss of immune tolerance, affecting ...

The model uses FIB-4, age, sex, race, BMI, diabetes, smoking, and alcohol use for risk assessment. HCC incidence is rising ...

Can AI predict heart disease better than doctors? The new AIRE model uses ECG data to accurately predict mortality and ...

DemRisk, dementia prediction model that uses primary care data, can identify at-risk patients, especially those aged between 60 and 79.

AI models analyzing tumor-infiltrating lymphocytes show promise in predicting outcomes for triple-negative breast cancer, but ...

HCC risk prediction may be poorly reported and biased for individuals with nonviral chronic liver disease.

Glaucoma risk can be managed more effectively with the ability to use polygenic risk scores to identify individuals who can ...

Back-testing analysis of the scoring model revealed compelling evidence of its effectiveness in identifying and managing risk ...

The flow cytometry-based assay measures the expression of the protein FcyR11a as a biomarker for cardiovascular risk.

As software systems grow more intricate and operate at a massive scale, ensuring quality through traditional validation and ...

H2O.ai, the leader in open-source generative AI and the most accurate predictive AI platform, continues its world tour of democratizing Generative AI to major cities around the world. The event will ...

The overwhelming takeaway was how problematic data can be. Most opportunely, this subject is addressed in the first paper in this issue of The Journal of Risk Model Validation and, to a lesser extent, ...