A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Women living with and without HIV, age 30-65 years, were recruited in South Africa. Self-collected vaginal samples and clinician-collected cervical samples were tested with Xpert HPV, an assay that ...

TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma We trained models using logistic regression (LR) and four commonly used ML ...

African American doctor talking to patient in office Researchers sought to identify predictive markers of ustekinumab response as well as evaluate the effect of its pharmacokinetics on the clinical ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...