In recent years, Japan has been hit by natural disasters such as earthquakes, typhoons, torrential rains, and heavy snow every year without exception. When such disasters occur, human lives are put at risk. These emergency situations are an unrivaled sphere of activity for physicians, nurses, and emergency life-saving technicians, and the need for these workers becomes the focus of society; however, for advanced rescue in the acute phase of disasters and to prevent disease onset in the chronic phase, clinical laboratory tests are expected to play a major role in developing more accurate diagnoses and promoting prompt medical care. In this paper, I examine whether clinical laboratory tests are beneficial for practicing disaster medicine.
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Comput Biol Med
January 2025
Neurological Sciences and Cerebrovascular Research Laboratory, Department of Neurology and Stroke Centre, Neurology and Cerebrovascular Disease Group, Neuroscience Area La Paz Institute for Health Research (idiPAZ), (La Paz University Hospital- Universidad Autónoma de Madrid), Spain. Electronic address:
The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by the evaluator's subjectivity. We present an artificial intelligence-based system for the automatic, accurate, and objective analysis of target parameters evaluated by the ledged beam walking test, which offers higher sensitivity than the current methodology based on manual and visual counting. This system employs a residual deep network model, trained with DeepLabCut (DLC) to extract target paretic hindlimb coordinates, which are categorized to provide a ratio measurement of the animal's neurological deficit.
View Article and Find Full Text PDFRedox Biol
January 2025
Department of Reproductive Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210002, China; State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China; Department of Reproductive Medicine, Affiliated Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210002, China. Electronic address:
Oocyte aging is closely related to a decline in female fertility, accompanied by increased reactive oxygen species levels and changes in protein posttranslational modifications. However, the role of protein palmitoylation in oocyte aging has not been investigated. In the present study, a new association between redox and palmitoylation in aging oocytes was found.
View Article and Find Full Text PDFSTAR Protoc
January 2025
School of Medicine, Wuhan University of Science and Technology, Wuhan 430030, China. Electronic address:
Alternating bilateral sensory stimulation (ABS) is a clinical physical therapy technique effective in treating post-traumatic stress disorder (PTSD). However, its utilization in treating conditions beyond PTSD remains limited. Here, we present a protocol to reduce ethanol-induced conditioned place preference (CPP) using 4 Hz ABS.
View Article and Find Full Text PDFEndocrine
January 2025
Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Purpose: Adrenocortical carcinoma (ACC) is a rare malignancy known for high rates of recurrence and poor prognosis. Previous studies revealed controversial roles of adjuvant radiation therapy (RT) in patient management. This study aimed to investigate the role of adjuvant RT in postoperative ACC patients.
View Article and Find Full Text PDFClin Oral Investig
January 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.
Objectives: To develop a platform including a deep convolutional neural network (DCNN) for automatic segmentation of the maxillary sinus (MS) and adjacent structures, and automatic algorithms for measuring 3-dimensional (3D) clinical parameters.
Materials And Methods: 175 CBCTs containing 242 MS were used as the training, validating and testing datasets at the ratio of 7:1:2. The datasets contained healthy MS and MS with mild (2-4 mm), moderate (4-10 mm) and severe (10- mm) mucosal thickening.
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