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Extracellular matrix stiffness regulates colorectal cancer progression via HSF4.
J Exp Clin Cancer Res
January 2025
Department of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Background: Colorectal cancer (CRC) has high incidence and mortality rates, with severe prognoses during invasion and metastasis stages. Despite advancements in diagnostic and therapeutic technologies, the impact of the tumour microenvironment, particularly extracellular matrix (ECM) stiffness, on CRC progression and metastasis is not fully understood.
Methods: This study included 107 CRC patients.
Fully automated segmentation and classification of renal tumors on CT scans via machine learning.
BMC Cancer
January 2025
Department of Urology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Background: To develop and test the performance of a fully automated system for classifying renal tumor subtypes via deep machine learning for automated segmentation and classification.
Materials And Methods: The model was developed using computed tomography (CT) images of pathologically proven renal tumors collected from a prospective cohort at a medical center between March 2016 and December 2020. A total of 561 renal tumors were included: 233 clear cell renal cell carcinomas (RCCs), 82 papillary RCCs, 74 chromophobe RCCs, and 172 angiomyolipomas.
A miniaturized colorimetric-photoacoustic dual-mode device for point-of-care testing of ascorbic acid and ascorbate oxidase.
Anal Chim Acta
March 2025
The Radiology Department of Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, 030001, China. Electronic address:
Background: Real-time and rapid detection of ingredients in food has important significance for food safety. However, traditional detection methods not only require bulky and costly instruments but also are often based on single-mode analysis, limiting their accuracy and applications in point-of-care testing. Herein, an integrated and miniaturized dual-mode device based on colorimetric and photoacoustic (PA) principles is developed, using Au@Ag nanoparticles (Au@AgNPs) as signal probe and ascorbic acid (AA) and ascorbate oxidase (AAO) as analytes.
View Article and Find Full Text PDFCardiac MRI Evaluation of Heart Failure and Cardiomyopathies.
R I Med J (2013)
February 2025
Brown University Health Cardiovascular Institute; Rhode Island, the Miriam and Newport Hospitals; Warren Alpert Medical School, Brown University.
Cardiac magnetic resonance imaging (CMR) is an exciting noninvasive imaging modality with increasing utilization in the field of cardiovascular medicine. In conjunction with echocardiogram, computed tomography, and invasive therapies, CMR has provided exceptional capability to further evaluate complex clinical cardiac conditions. CMR provides both anatomical and physiological information of a variety of tissue types, without the need for ionizing radiation.
View Article and Find Full Text PDFEffective and Engaging Active Learning in the Medical School Classroom: Lessons from Case-Based Collaborative Learning.
J Med Educ Curric Dev
January 2025
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.
Large group collaborative teaching approaches are rapidly gaining popularity in undergraduate medical education. The case-based collaborative Learning (CBCL) pedagogy was instituted for pre-clerkship teaching at Harvard Medical School in 2015 with subsequent implementation at other medical schools. CBCL emphasizes inductive reasoning, integrates basic and clinical sciences, stimulates curiosity, and fosters teamwork.
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