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 ...
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Are you a Christmas-only Catholic? What you need to know before going back to church.
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 ...
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 ...
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