Syrian Virtual University

Montage-agnostic federated learning for privacy-preserving Alzheimer’s disease classification from heterogeneous multi-site EEG

Federated learning (FL) lets institutions train shared models without moving raw data, attractive for clinical electroencephalography (EEG), where cohorts are small and privacy-sensitive. Two obstacles persist: clinical sites record EEG with different electrode montages, so input...

Knowledge, Attitudes, and Readiness of Pharmacy Faculty toward Competency-Based Learning in Syrian Universities: A Cross-Sectional Study

<ns5:p> Background Competency-based learning (CBL) is transformative in health professions education, yet its adoption in Syrian pharmacy education remains unexamined, especially after the country’s prolonged conflict. Methods A cross-sectional study (autumn 2022) surveyed pharma...