The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Wavepace Introduces AI-Ready Design Systems To Power Scalable Digital Products. The era of rigid UI/UX components is fading. As brands integrate Large Language Models (LLMs) into their workflows, the ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

The important thing,' said a Dominican friar, 'is to let your heart be engaged and let God love you sacramentally.' ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Pinecone recently announced the public preview of Dedicated Read Nodes (DRN), a new capacity mode for its vector database ...

Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

It’s that time of year again, when we all need to consider how well we’ve behaved throughout the year, and for one man above ...

Sioux Falls native Griffin Wilde caught a touchdown pass in Northwestern’s 34-7 win over Central Michigan in the GameAbove ...