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http://dx.doi.org/10.1016/j.acra.2025.02.005 | DOI Listing |
JMIR Med Inform
September 2025
Department of Information Services, ECU Health, 2190 Beasley Drive, Greenville, North Carolina, 27834, United States, 1 252-847-4133, 1 252-847-5561.
In an era where health care is increasingly dependent on digital infrastructure, the resilience of health IT systems has become a cornerstone of patient safety and operational continuity. As cyber threats grow in frequency and sophistication, health care organizations have turned to advanced cybersecurity tools to safeguard their systems. Yet even the most robust defenses can falter.
View Article and Find Full Text PDFLancet Digit Health
August 2025
Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Ger
Background: Deep learning-based models enable the prediction of molecular biomarkers from histopathology slides of colorectal cancer stained with haematoxylin and eosin; however, few studies have assessed prediction targets beyond microsatellite instability (MSI), BRAF, and KRAS systematically. We aimed to develop and validate a multi-target model based on deep learning for the simultaneous prediction of numerous genetic alterations and their associated phenotypes in colorectal cancer.
Methods: In this multicentre cohort study, tissue samples from patients with colorectal cancer were obtained by surgical resection and stained with haematoxylin and eosin.
Cancer Epidemiol Biomarkers Prev
September 2025
Fred Hutchinson Cancer Center, Seattle, Washington.
Background: Cancer incidence and mortality vary substantially across populations. The Translational Research Program in Cancer Differences across Populations (TRPCDP) was established in 2020 to address differences in cancer incidence and mortality rates within the United States, with a particular focus on colorectal cancer.
Methods: The TRPCDP centralized data acquisition and harmonization across three sites in the United States to create a well-annotated resource of colorectal cancer tumors across four populations: African American/Black, Alaska Native, Hispanic/Latino/Latina, and non-Hispanic White.
Lifestyle Genom
July 2025
Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Introduction: Prior work in predominantly European ancestry populations has explained how the risk associated with demographic, lifestyle, and health factors differs with underlying genetic susceptibility to type 2 diabetes (T2D), but less is known about these relationships in Black Americans.
Methods: We used covariate-adjusted logistic regression models of T2D to examine interactions between a published trans-ancestry derived T2D polygenic risk score (PRS) and various demographic, lifestyle, and health-related factors among 28,251 self-identified Black Americans from six cohort studies.
Results: The results are generally consistent with prior work in White populations.
Cancer Prev Res (Phila)
September 2025
Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Unlabelled: Higher T-cell infiltration in colorectal tumors has been associated with better prognosis. Evidence indicates that calcium signaling is essential for T-cell functioning. However, as it is unknown whether calcium intake influences T-cell infiltration, we investigated the association of calcium intake with T-cell subsets in the tumor microenvironment of colorectal cancer.
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