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Integrating Retinal Segmentation Metrics with Machine Learning for Predictions from Mouse SD-OCT Scans.
Curr Eye Res
January 2025
Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA.
Purpose: This study aimed to initially test whether machine learning approaches could categorically predict two simple biological features, mouse age and mouse species, using the retinal segmentation metrics.
Methods: The retinal layer thickness data obtained from C57BL/6 and DBA/2J mice were processed for machine learning after segmenting mouse retinal SD-OCT scans. Twenty-two models were trained to predict the mouse groups.
Bibliometric Analysis of Probiotic Bacillus in Food Science: Evolution of Research Trends and Systematic Evaluation.
Probiotics Antimicrob Proteins
January 2025
College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China.
With the in-depth and comprehensive research on probiotic Bacillus, it has become a hot topic in food science. However, the current status of research using bibliometric analysis to assess the application of probiotic Bacillus in food science has not been comprehensively reviewed. The Web of Science (WOS) database was used in this review's bibliometric analysis to determine the hotspots for research as well as the extent of completed experiments.
View Article and Find Full Text PDFLiquid biopsy technologies: innovations and future directions in breast cancer biomarker detection.
Biomed Microdevices
January 2025
Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Luzhou, 646000, Sichuan, People's Republic of China.
Globally, breast cancer is the most frequent type of cancer, and its early diagnosis and screening can significantly improve the probability of survival and quality of life of those affected. Liquid biopsy-based targets such as circulating tumor cells, circulating tumor DNA, and exosomes have been instrumental in the early discovery of cancer, and have been found to be effective in stage therapy, recurrence monitoring, and drug selection. Biosensors based on these target related biomarkers convert the tested substances into quantifiable signals such as electrical and optical signals through signal transduction, which has the advantages of high sensitivity, simple operation, and low invasiveness.
View Article and Find Full Text PDFA Novel Peptide Mapping Method Utilizing Cysteine as a Reducing Agent.
Pharm Res
January 2025
Institute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
Purposes: In the peptide mapping reduction process for monoclonal antibodies (mAbs) and other proteins, the conventional reducing reagents β-mercaptoethanol (β-ME) and dithiothreitol (DTT) pose challenges due to their strong odor and toxicity at high concentrations. Cysteine (Cys), an essential amino acid for new protein synthesis, is an overlooked, nontoxic, and odorless reducing agent. This study presents a novel peptide mapping method using Cys as the reducing agent.
View Article and Find Full Text PDFPersimmon (Diospyros kaki L.) leaves accelerates skin tissue regeneration in excisional wound model: possible molecular mechanisms.
J Mol Histol
January 2025
Department of Chemical Engineering, Toronto Metropolitan University, Toronto, ON, Canada.
Persimmon (Diospyros kaki L.) leaves are a traditional medicinal herb used for treating many infectious and inflammatory-related conditions, including wound healing. To validate its traditional use, our study evaluates the acute toxicity and wound-healing effects of methanolic extracts of Persimmon (Diospyros kaki L.
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