Prof Tony Hu

Tony Hu

Dean of School of Biomedical Engineering

Affiliation: Tsinghua University, Beijing, China

Position: Professor and Dean, School of Biomedical Engineering, Tsinghua University

Biography

Prof Tony Hu is a world-renowned expert in biomedical engineering, nanotechnology, and point-of-care diagnostics. He serves as the Dean of School of Biomedical Engineering at Tsinghua University. His research focuses on developing innovative nanotechnology-based approaches for disease diagnosis and treatment monitoring, with particular emphasis on extracellular vesicles, CRISPR-based diagnostics, and tuberculosis detection.

Prof Hu has published extensively in top-tier scientific journals including Nature Biomedical Engineering, Nature Nanotechnology, Nature Communications, Science Translational Medicine, The Lancet Microbe, and PNAS. His work has been highlighted by New England Journal of Medicine and Nature Reviews. He has developed multiple breakthrough technologies for rapid, low-cost disease diagnosis suitable for resource-limited settings.

His research group pioneered the use of nanoplasmonic sensors, CRISPR-Cas systems, and extracellular vesicle-based assays for detecting pathogens including Mycobacterium tuberculosis, SARS-CoV-2, and HIV. His work bridges the gap between laboratory research and clinical applications, with a strong focus on addressing global health challenges.

Key Research Areas

  • Extracellular vesicles for disease diagnosis and treatment monitoring
  • CRISPR-based diagnostics for infectious diseases
  • Tuberculosis detection and monitoring
  • Nanoplasmonic sensors for biomarker detection
  • Point-of-care diagnostics for low-resource settings
  • Cancer nanomedicine and liquid biopsies
  • Peptidomics and mass spectrometry-based diagnostics

Selected Publications

  • Rapid tuberculosis diagnosis from respiratory or blood samples by a low cost, portable lab-intube assay. Science Translational Medicine, 2025 (Cover Story)
  • Self-Powered Rapid Antigen-Specific T cell Response Assay for Mycobacterium Tuberculosis Infections. Nature Biomedical Engineering, 2025
  • Enhanced diagnosis of multi-drug-resistant microbes using group association modeling and machine learning. Nature Communications, 2025
  • Diagnosis of paediatric tuberculosis by optically detecting two virulence factors on extracellular vesicles in blood samples. Nature Biomedical Engineering, 2022
  • CRISPR Detection of Circulating Cell-free M. tuberculosis DNA in Adults and Children, Including Children with HIV. The Lancet Microbe, 2022
  • A smartphone-read ultrasensitive and quantitative saliva test for COVID-19. Science Advances, 2021