Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

New research reveals a model to predict chronic immune thrombocytopenia in children at diagnosis. Learn how it could guide ...

digna has released version 2026.04 of its data quality and observability platform, introducing enhanced time-series analytics ...

A CpG-based methylation signature combined with ridge regression allows highly accurate multicancer classification in ...

Why This MattersChildren undergoing thoracic surgery face unique challenges, especially when one-lung ventilation (OLV) is ...

New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...

Cities are growing not only outward, but upward—and now researchers have shown that this vertical transformation can be tracked worldwide over time.

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

A pain-informed model identified risk factors for clinically significant nausea in patients undergoing metabolic bariatric surgery.

SEED Therapeutics, Inc. (“SEED”), a clinical-stage biotechnology company pioneering rationally designed molecular glue ...

A new study develops and validates a nomogram to predict the need for continuous renal replacement therapy (CRRT) in patients with acute kidney injury (AKI) after lung transplantation. By integrating ...