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 ...

What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).

The fashion industry has problems with textile waste and mislabeling. AI tools from Refiberd and HKRITA offer help with sustainable garment recycling.

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

PRA observation The PRA observed that monitoring cycles for AI and ML models are often too infrequent. Some firms monitor ...

By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a simple blood-based antioxidant measure can significantly sharpen prediabetes ...

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...

Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...