Yuqing Zhang
· Associate ProfessorUniversity of Pennsylvania · Oral & Maxillofacial Surgery / Pharmacology
Active 1984–2024
About
Yuqing Zhang, MD, MSc, PhD, is a physician and clinical epidemiologist with over 15 years of experience in evidence synthesis, guideline development, and randomized trials in both integrative and conventional medicine. She is an Associate Professor in the Department of Oral and Maxillofacial Surgery at the University of Pennsylvania School of Dental Medicine, and holds part-time positions at McMaster University in Canada and an honorary role at the University of Nottingham Ningbo China. Her work bridges research creation, synthesis, and implementation into clinical practice and policy worldwide. Dr. Zhang has collaborated globally with organizations such as the WHO, American College of Physicians, American Thoracic Society, and the World Federation of Acupuncture-Moxibustion Societies. She led the BMJ Acupuncture collection, a landmark international series uniting over 100 scientists from more than 40 organizations to provide critical methodological guidance that informs clinical practice, reimbursement, and policy decisions. She has trained over 600 clinicians, researchers, and graduate students in evidence synthesis and guideline methodology, and serves on the editorial boards of multiple journals.
Research topics
- Internal medicine
- Medicine
- Political Science
- Computer Science
- Artificial Intelligence
- Physical therapy
- Cancer research
- Biology
- Pathology
- Oncology
- Chemistry
- Cell biology
Selected publications
Gastroenterology · 2021 · 208 citations
- Cancer research
- Chemistry
- Medicine
Machine learning-based LIBS spectrum analysis of human blood plasma allows ovarian cancer diagnosis
Biomedical Optics Express · 2021 · 79 citations
- Computer Science
- Artificial Intelligence
- Computer Science
Early-stage screening and diagnosis of ovarian cancer represent an urgent need in medicine. Usual ultrasound imaging and cancer antigen CA-125 test when prescribed to a suspicious population still require reconfirmations. Spectroscopic analyses of blood, at the molecular and atomic levels, provide useful supplementary tests when coupled with effective information extraction methods. Laser-induced breakdown spectroscopy (LIBS) was employed in this work to record the elemental fingerprint of human blood plasma. A machine learning data treatment process was developed combining feature selection and regression with a back-propagation neural network, resulting in classification models for cancer detection among 176 blood plasma samples collected from patients, including also ovarian cyst and normal cases. Cancer diagnosis sensitivity and specificity of respectively 71.4% and 86.5% were obtained for randomly selected validation samples.
Burden of osteoarthritis in China, 1990–2017: findings from the Global Burden of Disease Study 2017
The Lancet Rheumatology · 2020 · 93 citations
- Political Science
- Medicine
- Physical therapy
Recent grants
NIH · $29.4M · 2018
NIH · $582k · 2017
NIH · $82k · 2003
NIH · $19.5M · 2002
NIH · $421k · 2015
Frequent coauthors
- 3312 shared
Li Yang
Air Force Medical University
- 576 shared
Jun Yan
- 290 shared
Joshua N. Sampson
National Cancer Institute
- 290 shared
Mads Melbye
Statens Serum Institut
- 290 shared
Sophia Wang
Sun Yat-sen University
- 290 shared
Lindsay M. Morton
National Institutes of Health
- 289 shared
Stephen M. Ansell
Mayo Clinic in Arizona
- 289 shared
Christopher R. Flowers
The University of Texas MD Anderson Cancer Center
Awards & honors
- BMJ Acupuncture collection leadership
- American Society of Hematology 2020 guidelines for managemen…
- American Thoracic Society Clinical Practice Guideline on Ini…
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