In winter, it’s important to ventilate living and working spaces regularly. Here’s how to make a homemade measuring station ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Conversations about soft skills are often, well, soft. While most executives believe skills like communication or adaptability will only grow in importance as AI changes the nature of work, the ...

The first ThreatsDay Bulletin of 2026 tracks GhostAd adware, macOS malware, proxy botnets, cloud exploits, and more emerging ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Nearly a third of US teenagers say they use AI chatbots daily, a new study finds, shedding light on how young people are embracing a technology that’s raised critical safety concerns around mental ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Katrina Ávila Munichiello is an experienced editor, writer, fact-checker, and proofreader ...

Background Amyloid transthyretin (ATTR) amyloidosis is a rare, life-threatening disease frequently manifesting with ...

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 ...

OAKLAND — In 2020, California led the nation in outlawing transcript withholding, a debt collection practice that sometimes kept low-income college students from getting jobs or advanced degrees. Five ...