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mHealth-Based Diabetes Prevention Program for Chinese Mothers With Abdominal Obesity: Randomized Controlled Trial.
JMIR Mhealth Uhealth
January 2025
Xiangya School of Nursing, Central South University, Changsha, China.
Background: Among people with abdominal obesity, women are more likely to develop diabetes than men. Mobile health (mHealth)-based technologies provide the flexibility and resource-saving opportunities to improve lifestyles in an individualized way. However, mHealth-based diabetes prevention programs tailored for busy mothers with abdominal obesity have not been reported yet.
View Article and Find Full Text PDFThe Innate Immune Sensor Zbp1 Mediates Central Nervous System Inflammation Induced by Angiostrongylus Cantonensis by Promoting Macrophage Inflammatory Phenotypes.
Adv Sci (Weinh)
January 2025
Key Laboratory of Tropical Disease Control (Sun Yat-Sen University), Ministry of Education, Guangzhou, Guangdong, 510080, China.
Angiostrongylus cantonensis (AC) is the leading cause of eosinophilic meningoencephalitis worldwide. The neuroimmune interactions between peripheral and central immune systems in angiostrongyliasis remain unclear. In this study, significant infiltration of eosinophils, myeloid cells, macrophages, neutrophils, and Ly6C monocytes is observed in the brains of AC-infected mice, with macrophages being the most abundant.
View Article and Find Full Text PDFDeep learning model targeting cancer surrounding tissues for accurate cancer diagnosis based on histopathological images.
J Transl Med
January 2025
Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Accurate and fast histological diagnosis of cancers is crucial for successful treatment. The deep learning-based approaches have assisted pathologists in efficient cancer diagnosis. The remodeled microenvironment and field cancerization may enable the cancer-specific features in the image of non-cancer regions surrounding cancer, which may provide additional information not available in the cancer region to improve cancer diagnosis.
View Article and Find Full Text PDFA Military-Civilian Training Partnership for Army Nurses.
Am J Nurs
February 2025
Joseph R. Danford is a medical student at the Tulane University School of Medicine in New Orleans, LA. Kayla Hearn is a military-civilian partner at Vanderbilt University Medical Center (VUMC) in Nashville, TN, where Elisa Bickett is the military-civilian program manager and Bradley M. Dennis is director of military-civilian partnerships. Cynthia Barrigan is director of military-civilian partnerships in the Office of the Army Surgeon General in Falls Church, VA. Daniel J. Stinner is a military-civilian partner at VUMC and Blanchfield Army Community Hospital in Fort Campbell, KY. Contact author: Joseph R. Danford, The authors have disclosed no potential conflicts of interest, financial or otherwise.
Background: In 2018, the U.S. Army Surgeon General created the Army Medical Department Military-Civilian Trauma Team Training (AMCT3) program to enhance the clinical proficiency of medical personnel serving on Army trauma teams called forward resuscitative surgical detachments (FRSDs).
View Article and Find Full Text PDFPrevalence of malnutrition among adult inpatients in China: a nationwide cross-sectional study.
Sci China Life Sci
January 2025
Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Malnutrition substantially contributes to adverse clinical outcomes. However, no national survey has been conducted to characterize its epidemiology in hospital settings in China. We conducted the China Nutrition Fundamental Data 2020 project among a multistage stratified cluster sample of adult inpatients from 291 study sites across 30 provinces, autonomous regions and municipalities (except for Hong Kong, Macao, Taiwan Province, and the Xizang Autonomous Region, please see MATERIALS AND METHODS for details of the causes) of China to generate reliable data on the prevalence of malnutrition and explore the associated risk factors.
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