A multicenter study in Spain developed a new predictive model for surgical risk in patients with cirrhosis that may improve the prediction of postoperative mortality. The surgical risk prediction ...

The model started with around 2,000 predictive features that could factor into CAD risk, but the team eventually whittled this list down to 53 risk factors. These included physical measurements, blood ...

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

The transformer-based model is being developed to help organizations—most notably in the finance industry—dig deeper into their data.

Long-Term Survival and Biomarker Analysis Evaluating Neoadjuvant Plus Adjuvant Relatlimab (anti-LAG3) and Nivolumab (anti-PD1) in Patients With Resectable Melanoma Our study included a broad cohort of ...

H2O.ai, a pioneer in sovereign AI and the world’s leading agentic, highly accurate predictive AI company, today announced its openly available H2OVL Mississippi visual-language multimodal models has ...