从事慢病（如肺癌、糖尿病等）早期快速无创诊断技术的研究工作，研制成功基于呼气的肺癌筛查仪，近3年主要科研成果如下：

[1] Li W, Jia Z, Xie D, et al. Recognizing lung cancer using a homemade e-nose: A comprehensive study[J]. Computers in Biology and Medicine, 2020.

[2] Jia Z, Liu H, Li W#, et al. Electret filter collects more exhaled albumin than glass condenser: A method comparison based on human study[J]. Medicine, 2018, 97(5).

[3] Li Wang, Liu Hongying, Xie Ddandan, et al. Lung Cancer Screening Based on Type-different Sensor Arrays[J]. Scientific Reports, 2017, 7(1):1969.

[4] Li, Wang, et al. "Collecting protein biomarkers in breath using electret filters: a preliminary method on new technical model and human study." PloS one 11.3 (2016).

[5 ] Yao L., Liu C., Li Peng, Li Wang, et al. (2020). Enhanced Automated Diagnosis of Coronary Artery Disease Using Features Extracted From QT Interval Time Series and ST–T Waveform. IEEE Access, 8.

[6] Wang, J., Liu, C., Li, L., Li Wang, Yao, L., Li, H., & Zhang, H. (2020). A Stacking-Based Model for Non-Invasive Detection of Coronary Heart Disease. IEEE Access, 8, 37124-37133.

[7] Jia, Z., Huang, L., Liu, H., Huang, Y., Li, W., Pi, X., & Zheng, X. (2019). Design of a Real-time Self-adjusting Calibration Algorithm to Improve the Accuracy of Continuous Blood Glucose Monitoring. Applied biochemistry and biotechnology, 1-14.