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Unlabelled: L. has been widely used in the treatment and prevention of numerous diseases in traditional systems of medicine around the world, such as nervous, gastrointestinal systems diseases and inflammation. In traditional Chinese medicine (TCM), its rhizomes are frequently used to treat liver disease, stomach pain, breast tenderness, dysmenorrheal and menstrual irregularities. The review is conducted to summarize comprehensively the plant's vernacular names, distribution, phytochemistry, pharmacology, toxicology and analytical methods, along with the data mining for TCM prescriptions containing . Herein, 552 compounds isolated or identified from were systematically collated and classified, concerning monoterpenoids, sesquiterpenoids, flavonoids, phenylpropanoids, phenolics and phenolic glycosides, triterpenoids and steroids, diterpenoids, quinonoids, alkaloids, saccharides and others. Their pharmacological effects on the digestive system, nervous system, gynecological diseases, and other bioactivities like antioxidant, anti-inflammatory, anti-cancer, insect repellent, anti-microbial activity, etc. were summarized accordingly. Moreover, except for the data mining on the compatibility of in TCM, the separation, identification and analytical methods of compositions were also systematically summarized, and constituents of the essential oils from different regions were re-analyzed using multivariate statistical analysis. In addition, the toxicological study progresses on revealed the safety property of this herb. This review is designed to serve as a scientific basis and theoretical reference for further exploration into the clinical use and scientific research of .
Supplementary Information: The online version contains supplementary materials available at 10.1007/s11101-023-09870-3.
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http://dx.doi.org/10.1007/s11101-023-09870-3 | DOI Listing |
JAMIA Open
October 2025
Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, United States.
Objectives: Unstructured data, such as procedure notes, contain valuable medical information that is frequently underutilized due to the labor-intensive nature of data extraction. This study aims to develop a generative artificial intelligence (GenAI) pipeline using an open-source Large Language Model (LLM) with built-in guardrails and a retry mechanism to extract data from unstructured right heart catheterization (RHC) notes while minimizing errors, including hallucinations.
Materials And Methods: A total of 220 RHC notes were randomly selected for pipeline development and 200 for validation from the Pulmonary Vascular Disease Registry.
Dialogues Health
December 2025
Department of Health, Aging & Society, McMaster University, Hamilton, Canada.
Introduction: Access to water, sanitation, and hygiene (WASH) is critical for public health but remains inadequate in marginalized areas, particularly in sub-Saharan Africa's artisanal and small-scale mining (ASM) communities. Adolescent girls and young women (AGYW) in these settings face unique challenges that impact their health and wellbeing.
Objective: This study aimed to assess WASH access among adolescent girls and young women (aged 10-24) in last-mile ASM communities in Ghana and Uganda, identifying disparities and factors influencing access.
J Nurs Manag
September 2025
College of Physical Education, Southwest University, Chongqing, China.
With the increasing participation of women in sports, understanding gender differences in sports injuries has become crucial. This study compares the incidence of sports injuries in male and female athletes through a scope review, analyzes the gender specific patterns of common injury types, summarizes the current situation and challenges of sports injury prevention in female athletes, and proposes targeted clinical practice and research recommendations. This study adopted a scope review design, followed the PRISMA ScR guidelines, and registered with PROSPERO (CRD420251058146).
View Article and Find Full Text PDFAm J Epidemiol
September 2025
Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Tree-based scan statistics (TBSS) are data mining methods that screen thousands of hierarchically related health outcomes to detect unsuspected adverse drug effects. TBSS traditionally analyze claims data with outcomes defined via diagnosis codes. TBSS have not been previously applied to rich clinical information in Electronic Health Records (EHR).
View Article and Find Full Text PDFJ Hazard Mater
September 2025
Mining and Minerals Engineering, Virginia Tech, Blacksburg, VA, USA. Electronic address:
Occupational lung disease remains a serious concern among miner workers, underscoring the need for improved characterization of respirable dust. Scanning electron microscopy with energy dispersive X-ray spectroscopy (SEM-EDX) enables high-resolution analysis of filter samples, but accurate identification of complex, multi-constituent particles like agglomerates during direct-on-filter (DOF) analysis remains challenging. This is because standard tools for automated SEM-EDX treat each dust entity as an independent particle.
View Article and Find Full Text PDF