Using a deep learning model to analyze the composition of large muscles on MRI, German researchers found that the proportions ...
Using Early Biomarker Change and Treatment Adherence to Predict Risk of Relapse Among Patients With Chronic Myeloid Leukemia Who Are in Remission The imaging cohort consisted of positron emission ...
Body composition (BC) may play a role in outcome prognostication in patients with gastroesophageal adenocarcinoma (GEAC). Artificial intelligence provides new possibilities to opportunistically ...
Research shows AI-enhanced MRI body composition metrics can predict diabetes and heart disease risks, offering insights for ...
A fully automated and normalized body composition analysis of abdominal CT has promise to augment traditional cardiovascular risk prediction models. According to ARRS' American Journal of ...
Digital multimodal composition integrates multiple communicative modes—written text, visuals, audio and video—into cohesive learning tasks that mirror real‐world literacies. In language education, it ...
Augustana held it’s annual Celebration of Learning day Wednesday, which showcases student, staff and faculty work.
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