A5101637629- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence in Healthcare and Education
- Statistical Methods in Clinical Trials
- Effects and risks of endocrine disrupting chemicals
- Bladder and Urothelial Cancer Treatments
- Iterative Learning Control Systems
- Spinal Fractures and Fixation Techniques
- Nutrition and Health in Aging
- Fuel Cells and Related Materials
- Advanced Computational Techniques and Applications
- Health Systems, Economic Evaluations, Quality of Life
- Pelvic floor disorders treatments
- Membrane Separation and Gas Transport
- COVID-19 diagnosis using AI
- Membrane Separation Technologies
- Toxic Organic Pollutants Impact
- Power Systems and Renewable Energy
- Spine and Intervertebral Disc Pathology
- Cancer Immunotherapy and Biomarkers
- Cardiovascular Syncope and Autonomic Disorders
- Epigenetics and DNA Methylation
- Health, Environment, Cognitive Aging
- Membrane-based Ion Separation Techniques
West China Hospital of Sichuan University
2018-2025
Sichuan University
2018-2025
Yulin Orthopedics Hospital of Chinese and Western Medicine
2022-2024
Southwest Forestry University
2024
China University of Petroleum, East China
2022-2024
Henan Polytechnic University
2022-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2022-2023
Ludong University
2023
Oracle (United States)
2023
Weatherford College
2020
Abstract Background Large language models like ChatGPT have revolutionized the field of natural processing with their capability to comprehend and generate textual content, showing great potential play a role in medical education. This study aimed quantitatively evaluate comprehensively analysis performance on three types national examinations China, including National Medical Licensing Examination (NMLE), Pharmacist (NPLE), Nurse (NNLE). Methods We collected questions from Chinese NMLE,...
Abstract Background Academic paper writing holds significant importance in the education of medical students, and poses a clear challenge for those whose first language is not English. This study aims to investigate effectiveness employing large models, particularly ChatGPT, improving English academic skills these students. Methods A cohort 25 third-year students from China was recruited. The consisted two stages. Firstly, were asked write mini paper. Secondly, revise using ChatGPT within...
Background Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse exams globally has remained underexplored. Objective This study aims to introduce MedExamLLM, a comprehensive platform designed systematically evaluate the of LLMs on worldwide. Specifically, seeks (1) compile curate data worldwide exams; (2) analyze trends disparities in LLM capabilities geographic...
Abstract The tumor microenvironment is associated with various progressions, including cancer metastasis, immunosuppression, and sustained growth. Tumor‐associated macrophages (TAMs) are considered an indispensable component of the microenvironment, participating in progression remodeling creating compounds to regulate activities. This study aims observe enriched TAMs tissues during bladder development, which markedly facilitated proliferation cells promoted growth vivo. We determined that...
Muscle-invasive bladder cancer (MIBC) with high tumor stages accounts for most patient mortality. Platinum-based chemotherapy provides insufficient survival benefits; however, immunotherapy is a promising option MIBC.There were 31 differentially expressed IRGs that significantly correlated the clinical outcomes of MIBC patients. A prognostic signature based on 12 (MMP9, RBP7, ADIPOQ, AHNAK, OAS1, RAC3, SLIT2, EDNRA, IL34, PDGFD, PPY, IL17RD) performed moderately in predictions area under...
Age-related macular degeneration (AMD) is a chronic retinal disease that significantly influences the vision of elderly.
Abstract Disease ontologies facilitate the semantic organization and representation of domain-specific knowledge. In case prostate cancer (PCa), large volumes research results clinical data have been accumulated needed to be standardized for sharing translational researches. A formal PCa-associated knowledge will essential diverse standardization, future graph extraction, deep phenotyping explainable artificial intelligence developing. this study, we constructed an updated PCa ontology...
Abstract Background Klotho is a hormone that emerges as an antiaging biomarker. However, the influence of dietary pattern’s inflammatory potential on serum levels in human populations, especially general adult population, remains unknown. This study aimed to evaluate relationship between index (DII) and concentrations individuals living United States. Methods From 2007–2016 National Health Nutrition Examination Survey database, data participants who completed full 24-h history underwent...
423 Background: Surgery is a process that heavily relies on complex visual information. Many AI-based surgical teaching and assistance applications have emerged. However, the application of newly released ChatGPT-4o in contexts remains unexplored. This study aims to investigate ability analyzing recognizing anatomical structures, procedures, operational precautions based image information context. Utilizing screenshots from robot-assisted radical prostatectomy videos sourced internet....
In this study, a dual-input coupling powertrain system (DICPS) was proposed to improve the energy utilization efficiency of pure electric tractors (PETs). The working principles DICPS under different modes were analyzed and dynamic models established. To study influence changing key parameters in on economic performance PETs, parameter-matching design method feasible region determined according tractor’s performance. addition, we put forward an management strategy (EMS) based optimal...
This study used National Health and Nutrition Examination Surveys data from 1999 to 2006 investigate the association between dietary inflammatory potential, represented by index (DII) scores, risk of sarcopenia in U.S. adults. A total 25,781 participants were included study. The DII scores calculated based on information collected 24-hour recalls. Men women classified as sarcopenic if appendicular lean mass (ALM) adjusted for BMI (ALMBMI) was <0.789 or <0.512, respectively. covariates...
Direct C–H sulfation represents a valuable transformation for the synthesis of organosulfates. However, it has been challenging to achieve owing presence multiple bonds with comparable strengths and steric environments. Current methods producing organosulfates primarily rely on O‐sulfonation, which limits their applicability hydroxyl‐containing compounds. Herein, we report practical cost‐efficient method electrochemical benzylic bonds. This reaction avoids need strong oxidants, demonstrating...
Abstract Herein, the low cost and efficient oxygen‐deficient Ti 0.9 Nb 0.1 O 2‐x as support of IrO 2 (noted /TNO) anode catalyst for PEM water electrolyzer is synthesized then characterized using a series techniques. Oxygen vacancies are introduced by hydrogenation treatment. The /TNO sample after /TNO−Hx, x corresponds to temperature) exhibits enhanced electronic conductivity increased surface active sites relative that pristine sample. A single cell assembled /TNO−Hx catalyst, commercial...
Acquired docetaxel (Doc) resistance in hormone-refractory prostate cancer (HRPC) remains an ongoing clinical challenge, resulting failed chemotherapy and tumor recurrence. However, the mechanism of Doc-resistance development cells is still unclear. Here, we observed a subpopulation cells, both Doc-resistant cell lines tumors patients with HRPC, which show stem markers greater tumorigenic potential. Those stem-like high expression ABCB1, encodes multidrug resistance-related protein...
The association between grip strength and depression in elderly individuals low- middle-income countries (LMICs) has rarely been studied. This study aims to explore the relevance of population using data from a national large-scale population.
BackgroundDeep learning methods are increasingly applied in the medical field; however, their lack of interpretability remains a challenge. Captum is tool that can be used to interpret neural network models by computing feature importance weights. Although an interpretable model, it rarely study problems, and there scarcity data regarding MRI anatomical measurements for patients with prostate cancer after undergoing Robotic-Assisted Radical Prostatectomy (RARP). Consequently, predictive...
Abstract The purpose of this study was to evaluate the association between dietary inflammatory index (DII) and urinary incontinence (UI) among a representative sample US women. We performed cross-sectional analysis women younger than 65 years using 1999 2016 NHANES (National Health Nutrition Examination Survey) populations. DII were calculated based on baseline intake 24-h recalls. UI determined categorized by self-reported questions. Multivariable logistic regression models used assess UI....