National precipitation forecasting has for decades been hamstrung by static and inadequate climate models, but new tools are ...
A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.
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 ...
In Week 11, I explained the difference between anticipated regression and the so-called "Gambler's fallacy", and in Week 12, ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Patients’ fatigue levels before starting systemic cancer treatment predict their risk for severe or fatal side effects.
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 study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...
Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...
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