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| http://dx.doi.org/10.1093/nsr/nwac073 | DOI Listing |
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Research on a traditional Chinese medicine case-based question-answering system integrating large language models and knowledge graphs.
Front Med (Lausanne)
January 2025
School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, China.
Introduction: Traditional Chinese Medicine (TCM) case records encapsulate vast clinical experiences and theoretical insights, holding significant research and practical value. However, traditional case studies face challenges such as large data volumes, complex information, and difficulties in efficient retrieval and analysis. This study aimed to address these issues by leveraging modern data techniques to improve access and analysis of TCM case records.
View Article and Find Full Text PDFEvaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset.
JMIR Med Inform
January 2025
Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan.
Background: Advances in genetics have underscored a strong association between genetic factors and health outcomes, leading to an increased demand for genetic counseling services. However, a shortage of qualified genetic counselors poses a significant challenge. Large language models (LLMs) have emerged as a potential solution for augmenting support in genetic counseling tasks.
View Article and Find Full Text PDFGenomic determinants of biological age estimated by deep learning applied to retinal images.
Geroscience
January 2025
Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
With the development of deep learning (DL) techniques, there has been a successful application of this approach to determine biological age from latent information contained in retinal images. Retinal age gap (RAG) defined as the difference between chronological age and predicted retinal age has been established previously to predict the age-related disease. In this study, we performed discovery genome-wide association analysis (GWAS) on the RAG using the 31,271 UK Biobank participants and replicated our findings in 8034 GoDARTS participants.
View Article and Find Full Text PDFUsing Network Pharmacology and in vivo Experiments to Uncover the Mechanisms of Radix Paeoniae Rubra and Radix Angelicae Sinensis Granules in Treating Diabetes Mellitus-Induced Erectile Dysfunction.
Drug Des Devel Ther
December 2024
The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, People's Republic of China.
Purpose: Diabetes mellitus-induced erectile dysfunction (DMED) lacks targeted therapies. This study investigates the mechanisms and targets of Radix Paeoniae Rubra and Radix Angelicae Sinensis Granules (RAG) in treating DMED using network pharmacology and animal models.
Methods: We identified RAG's active ingredients and potential targets from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform.
Regulation mechanism of the long-chain -alkane monooxygenase gene in RAG-1.
Appl Environ Microbiol
December 2024
Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin, Tianjin, China.
Unlabelled: As toxic pollutants, -alkanes are pervasively distributed in most environmental matrices. Although the alkane monooxygenase AlmA plays a critical role in the metabolic pathway of solid long-chain -alkanes (≥C) that are extremely difficult to degrade, the mechanism regulating this process remains unclear. Here, we characterized the function of AlmA in RAG-1, which was mainly involved in the degradation of long-chain -alkanes (C-C), among which, -C induced the promoter activity most.
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