Introduction Self-harm and suicidal thoughts and behaviours are a significant public health concern. While individual risk factors have been widely studied, the role of social determinants in shaping ...

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 ...

Seventy-eight percent of the stock screens AAII tracks posted gains during 2025, with an average gain of 14.7%.

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

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 ...

Adults who experience a head injury face a substantially higher risk of attempting suicide compared to those without such ...

A reader objects to a defense of disparate-impact theory.

With one in eight women expected to be diagnosed with breast cancer in their lifetime, CCS believes that screening programs should start at age 40. Given that 13% of breast cancer cases are diagnosed ...

The FDA has granted 510(k) clearance to a Bay Area medical technology firm for its proprietary delirium monitoring solution, ...

Abstract: Due to low cost and nondestructive characteristics, passive surface-wave imaging has shown great potential in urban near-surface exploration. However, the imaging methods are facing many ...

A new generation of AI algorithms aim to go beyond detecting cancers to predicting risk for cardiovascular diseases.