Sepsis real-time prediction models (SRPMs) provide timely alerts and may improve patient outcomes but face limited clinical adoption due to inconsistent validation methods and potential biases.

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Poor generalizability continues to hinder mapping brain activity to behavior using human neuroimaging data. A potential solution is predictive modeling, which evaluates generalizability in unseen 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 ...