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

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

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 new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

Explore the strategic technology trends that will shape 2026, from AI supercomputing platforms to AI-native development, and ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...

Discover the top mobile app development tools for 2025, designed to accelerate app creation and improve user experience. From low-code solutions to comprehensive IDEs, find the right tools for your ...

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 ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...