Journal of Medical Internet Research

Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

Real-world data can provide external controls, but insufficient accrual affects all arms of a study, not just controls. Studies that used generative models to simulate more patients were limited in ...
Morningstar

DATA BREACH ALERT: Edelson Lechtzin LLP is Investigating Claims on Behalf of Blue Cross Blue Shield of Montana. Customers Whose Data May Have Been Compromised

BCBSMT is Montana's primary and longest-serving health insurance company, delivering coverage and support to more than 300,000 individuals. On or around October 8, 2025, BCBSMT notified the Montana ...
Frontiers

Identification and validation of selenium metabolism-related genes in lung adenocarcinoma prognosis using bioinformatics analysis

1 Department of Thoracic Surgery, the First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China 2 Department of Cardiovascular ...
Emporia Gazette

Emporia Cross Country Continues Run of Multiple Medal Events in El Dorado

The fall sports season is beginning to finish up as multiple sports are entering the final stretches of the season. Emporia High cross country is one of those, as they finished up a run in El Dorado ...
C&EN

Slug Flow Liquid–Liquid Extraction of Deferiprone as Iron Complex Using Natural Deep Eutectic Solvents in a Cross-Flow T-Junction Microfluidic System

Department of Analytical Chemistry, Faculty of Chemistry, K.N. Toosi University of Technology, P.O. Box 16315-1618, Postal Code 15418-49611 Tehran, Iran Nanomaterial, Separation and Trace Analysis ...
IEEE

Anti-Occlusion Cross-UAV Target Association Using Spatiotemporal Consistency

Abstract: In this article, we propose an anti-occlusion target association algorithm in an overlapping cross-uncrewed aerial vehicle (UAV) system. This method focuses on associating targets with the ...
IEEE

Multimodal Semi-Supervised Domain Adaptation Using Cross-Modal Learning and Joint Distribution Alignment for Cross-Subject Emotion Recognition

Abstract: Multimodal physiological data from electroencephalogram (EEG) and eye movement (EM) signals have been shown to be useful in effectively recognizing human emotional states. Unfortunately, ...