Qing Wu

Qing Wu's research focuses on bone health, osteoporosis, and fracture risk, particularly in postmenopausal women and diverse populations. A major theme is combining genetic data (such as polygenic risk scores and genome-wide association studies) with machine learning and statistical modeling to improve prediction of fractures and related conditions like sarcopenia and rheumatoid arthritis. The work also touches on broader epidemiological and Mendelian randomization studies linking genetics to diseases such as Alzheimer's disease and pelvic inflammatory disease.

Publication output has remained fairly steady over the past decade, with year-to-year fluctuations but a notable increase in 2025, averaging about 8 papers per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026