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 ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...
Abstract: The comprehension of human language is fundamentally important in modern intelligent systems. Automatic Speech Intelligibility assessment involves determining the efficiency with which ...
The CMS Innovation Center has debuted a new model to encourage the use of technology to treat chronic diseases, which could be a boon for health tech companies that have struggled with reimbursement.
Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
Abstract: E-health sensors and wearables play an important role in the detection and classification of many chronic diseases. A chronic disease requires active monitoring and its severity increases ...
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