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 ...

A multinational team revises the SOFA score to reflect modern organ support, validates it across diverse ICUs, and guides ...

I rely on data for clarity and risk transparency, but instinct shapes how I interpret it. My approach combines analytical ...

Discover how credit card validation codes work and protect against fraud. Learn about their placement, security role, and examples to secure online transactions.

The model incorporated dynamic variables, including vital signs, laboratory results, and medication data, updated hourly, to perform static and continuous mortality risk assessments. External ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

For lithologic oil reservoirs, lithology identification plays a significant guiding role in exploration targeting, reservoir evaluation, well network adjustment and optimization, and the establishment ...

In today’s data-driven world, data entry skills are more valuable than ever. Most data entry roles require a high school diploma or GED, making them accessible to a wide range of job seekers. Whether ...

More than 40% of all artificial intelligence tools cleared or approved by the Food and Drug Administration lack clinical evidence, according to an article recently published in Nature Medicine.