Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

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 ...

Overactive immune response disrupts brain function before neuronal damage occurs. Tracking urea levels and nerve cell markers ...

AI-driven cyberattack agents integrate automation, machine learning, adaptive malware, and botnet infrastructures into evolving digital danger.

Overview: AI-powered credit scoring uses advanced data analysis and machine learning to assess borrower risk more accurately than traditional models.Modern loan ...

Malnutrition is a leading cause of morbidity and mortality for children under-5 globally. Low- and middle-income countries, such as Kenya, bear the greatest burden of malnutrition. The Kenyan ...

Valve revealed its next batch of at-home hardware on Wednesday, including a new take on the Steam Machine, a gaming PC that's intended to be used like a console. Also revealed were the Steam Frame, ...

WILKES-BARRE — Local government offices are essential to the daily functioning of every community, yet The Institute’s Indicators Report says they are often the least understood level of government in ...

1 Department of Digestive Endoscopy, First Affiliated Hospital of Dalian Medical University, Dalian, China 2 Department of Gastroenterology, First Affiliated Hospital of Dalian Medical University, ...

Abstract: This study investigates the integration of machine learning techniques with multi-indicator strategies in algorithmic trading to overcome the limitations of traditional trading methods. As ...