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Clearing the path for whole-mount labeling and quantification of neuron- and vessel-density in adipose tissue.
J Cell Sci
January 2025
Institute of Molecular Biosciences, University of Graz, Graz, Austria.
White adipose tissue (WAT) comprises a plethora of cell types beyond adipocytes forming a regulatory network that ensures systemic energy homeostasis. Intertissue communication is facilitated by metabolites and signaling molecules that are spread by vasculature and nerves. Previous works indicated that WAT responds to environmental cues by adapting the abundance of these "communication routes", however, high intra-tissue heterogeneity questions the informative value of bulk or single cell analyses and underscores the necessity of whole-mount imaging.
View Article and Find Full Text PDFPractice Guidelines for the Value Evaluation of Clinical Pharmacy Services (version 2).
Front Public Health
January 2025
Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Objective: To optimize the construction of pharmaceutical services in medical institutions, advance the development of clinical pharmacy as a discipline, enhance the level of clinical pharmacy services, systematically implement and evaluate clinical pharmacy practices, and improve patient therapeutic outcomes, we have developed the Practice Guidelines for the Value Evaluation of Clinical Pharmacy Services (Version 2).
Methods: This guideline was designed following the World Health Organization (WHO) Guideline Development Manual. The Delphi method was employed to identify clinical questions.
A Deep Learning Framework for Automated Classification and Archiving of Orthodontic Diagnostic Documents.
Cureus
December 2024
Department of Orthodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, IRN.
Background Orthodontic diagnostic workflows often rely on manual classification and archiving of large volumes of patient images, a process that is both time-consuming and prone to errors such as mislabeling and incomplete documentation. These challenges can compromise treatment accuracy and overall patient care. To address these issues, we propose an artificial intelligence (AI)-driven deep learning framework based on convolutional neural networks (CNNs) to automate the classification and archiving of orthodontic diagnostic images.
View Article and Find Full Text PDFA case of bacteremia in a 38-year-old homeless male originating from a maggot-infested amputated foot.
IDCases
January 2025
University of Kansas Medical Center, Department of Internal Medicine, Division of Infectious Diseases, 3901 Rainbow Blvd., Mailstop 1028, Kansas City, KS 66160, USA.
() was first isolated from the larval stage of the fly vector It is a gram-negative, non-motile, strictly aerobic rod that thrives in temperatures between 28º C and 37º C. Its strong chitinase activity aids in metamorphosis, which suggests a symbiotic relationship with the fly. Although rare, has been implicated in human infections, like bacteremia and osteomyelitis, typically transmitted through fly larvae in skin wounds.
View Article and Find Full Text PDFEfficient information exchange approach for medical IoT based on AI and DAG-enabled blockchain.
Heliyon
January 2025
School of Information Engineering, Chuzhou Polytechnic, Chuzhou, 239000, Anhui, China.
The development of artificial intelligence (AI) based medical Internet of Things (IoT) technology plays a crucial role in making the collection and exchange of medical information more convenient. However, security, privacy, and efficiency issues during information exchange have become pressing challenges. While many scholars have proposed solutions based on AI and blockchain to address these issues, few have focused on the impact of the slow consensus algorithm of blockchain on the efficiency of information exchange.
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