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Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.
Sci Rep
December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
View Article and Find Full Text PDFCollaborative machine learning-guided overall survival prediction of oral squamous cell carcinoma.
Acta Otolaryngol
December 2024
Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Background: There is a lack of prognosticators of overall survival (OS) for Oral Squamous Cell Carcinoma (OSCC).
Objectives: We examined collaborative machine learning (cML) in estimating the OS of OSCC patients. The prognostic significance of the clinicopathological parameters was examined.
Supplemental Intervention for Alcohol Use Disorder Treatment Patients With a Co-Occurring Anxiety Disorder: Technical Development and Functional Testing of an Autonomous Digital Program.
JMIR Form Res
December 2024
Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States.
Background: Anxiety disorders are common in alcohol use disorder (AUD) treatment patients. Such co-occurring conditions ("comorbidity") have negative prognostic implications for AUD treatment outcomes, yet they commonly go unaddressed in standard AUD care. Over a decade ago, we developed and validated a cognitive behavioral therapy intervention to supplement standard AUD care that, when delivered by trained therapists, improves outcomes in comorbid patients.
View Article and Find Full Text PDFRobust Autism Spectrum Disorder-Related Spatial Covariance Gray Matter Pattern Revealed With a Large-Scale Multi-Center Dataset.
Autism Res
December 2024
Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder and its underlying neuroanatomical mechanisms still remain unclear. The scaled subprofile model of principal component analysis (SSM-PCA) is a data-driven multivariate technique for capturing stable disease-related spatial covariance pattern. Here, SSM-PCA is innovatively applied to obtain robust ASD-related gray matter volume pattern associated with clinical symptoms.
View Article and Find Full Text PDFExploring perceptions of medical students about interprofessional education (IPE): a qualitative study.
BMC Med Educ
December 2024
Nursing Department, Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China.
Background: Integration of clinical medicine and other subjects has laid more emphasis on the cultivation of high-quality medical talents, with the increasing demand for interprofessional education (IPE). IPE has been promoted by a number of universities to create and sustain authentic IPE activities, with which students can engage. Although IPE has achieved certain results, there are still many problems.
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