Wushu Chen works across clinical epidemiology, guideline development, systematic evidence synthesis, and machine-learning-assisted diagnosis, with a future PhD direction in ophthalmology and visual health.
About
My previous research has focused on respiratory and infectious disease questions, including differential diagnosis, pulmonary disease, invasive fungal disease, and immune-related clinical topics. I have contributed to research supported by China's National Science and Technology Major Project for 2030 and participated in clinical guideline development, which shaped my interest in translating evidence into practical standards for diagnosis and care.
Research Highlights
A concise view of the research experiences and methods that connect respiratory medicine, infectious disease, guideline development, and the next step toward ophthalmology.
Contributed to work connected with China's National Science and Technology Major Project
for 2030 and participated in the writing process of a national clinical guideline for
invasive pulmonary fungal disease.
Respiratory medicine, infectious disease, clinical standards
Uses systematic review, meta-analysis, Mendelian randomization, and machine-learning
approaches to transform clinical questions into reproducible evidence.
Evidence synthesis, genetic epidemiology, machine learning
Building on respiratory and infectious disease research, the next academic direction is
PhD training in ophthalmology, visual health, and data-driven translational research.
Ophthalmology PhD, visual health, translational research
Major Contributions
Guideline Development
Participated in the writing process for a national clinical guideline on invasive pulmonary fungal disease, contributing to evidence translation for respiratory and infectious disease diagnosis and treatment.
Open Guideline PDFSelected Work
Machine Learning
Clinical data and machine-learning models for early differential diagnosis between talaromycosis and tuberculosis in HIV-negative hosts.
Open PDF
Mendelian Randomization
A genetic epidemiology study examining the relationship between strenuous exercise and lung cancer risk.
Open PDFGlobal Burden of Disease
An increasing concern among adolescents based on GBD 2021 evidence.
Open PDFMendelian Randomization
Genetic epidemiology analysis of coffee consumption and periodontitis risk.
Open PDFMeta-analysis
A meta-analysis comparing diagnostic performance of immunoassay-based IgG and IgE detection.
Open PDFSystematic Review
A systematic literature review of GM-CSF therapy for autoimmune pulmonary alveolar proteinosis.
Open PDFReview
A review covering major hyperimmunoglobulin syndromes and related immune mechanisms.
Open PDFGuideline
Research guideline document for invasive fungal disease.
Open PDFContact