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 ...
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...
You’re managing a federal agency contact center when someone calls in with a bomb threat targeting a government building. The employee immediately begins ...
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Machine learning reveals dental caries heterogeneity in NHANES
A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype discovery pipeline using unsupervised machine learning for comprehensive ...
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