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Distribution of opioid analgesics by community racial/ethnic and socioeconomic profiles, 2011-2021.
Pain
January 2025
Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.
Rapid declines in opioid analgesics dispensed in American communities since 2011 raise concerns about inadequate access to effective pain management among patients for whom opioid therapies are appropriate, especially for those living in racial/ethnic minority and socioeconomically deprived communities. Using 2011 to 2021 national data from the Automated Reports and Consolidated Ordering System and generalized linear models, this study examined quarterly per capita distribution of oxycodone, hydrocodone, and morphine (in oral morphine milligram equivalents [MMEs]) by communities' racial/ethnic and socioeconomic profiles. Communities (defined by 3-digit-zip codes areas) were classified as "majority White" (≥50% self-reported non-Hispanic White population) vs "majority non-White.
View Article and Find Full Text PDFPredicting transcriptional changes induced by molecules with MiTCP.
Brief Bioinform
November 2024
Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China.
Studying the changes in cellular transcriptional profiles induced by small molecules can significantly advance our understanding of cellular state alterations and response mechanisms under chemical perturbations, which plays a crucial role in drug discovery and screening processes. Considering that experimental measurements need substantial time and cost, we developed a deep learning-based method called Molecule-induced Transcriptional Change Predictor (MiTCP) to predict changes in transcriptional profiles (CTPs) of 978 landmark genes induced by molecules. MiTCP utilizes graph neural network-based approaches to simultaneously model molecular structure representation and gene co-expression relationships, and integrates them for CTP prediction.
View Article and Find Full Text PDFDeep Learning Enabled Scoring of Pancreatic Neuroendocrine Tumors Based on Cancer Infiltration Patterns.
Endocr Pathol
January 2025
Department of Computer Engineering, Koc University, Istanbul, Turkey.
Pancreatic neuroendocrine tumors (PanNETs) are a heterogeneous group of neoplasms that include tumors with different histomorphologic characteristics that can be correlated to sub-categories with different prognoses. In addition to the WHO grading scheme based on tumor proliferative activity, a new parameter based on the scoring of infiltration patterns at the interface of tumor and non-neoplastic parenchyma (tumor-NNP interface) has recently been proposed for PanNET categorization. Despite the known correlations, these categorizations can still be problematic due to the need for human judgment, which may involve intra- and inter-observer variability.
View Article and Find Full Text PDFRobotic extended total extraperitoneal transversus abdominus release for traumatic flank and abdominal intercostal hernias.
Hernia
January 2025
Department of Surgery, Corewell Health East William Beaumont University Hospital, 3601 W 13 Mile Road, Royal Oak, MI, 48073, USA.
Purpose: Traumatic abdominal intercostal/flank hernias present a perplexing challenge for surgeons seeking to repair them. There has been a paucity of studies describing robotic repairs of such hernias. We aim to evaluate the effectiveness of the Robotic-assisted Extended Total Extraperitoneal/Transversus Abdominus Release (rETEP/TAR) method in repairing traumatic abdominal intercostal and flank hernias.
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