Recently, the Journal of Biophotonics published the collaborative research results of Professor Yin Weihai's team from the School of Biomedical Engineering and the Affiliated Chest Hospital of Shanghai Jiao Tong University in the form of key recommendation papers. They found that green autofluorescence in the skin on the back of the palm was a biomarker for diagnosing lung cancer. The related technology, "autofluorescence mode Technology", won one of the seven "Science and Technology Innovation Awards" at the 2019 China International Industry Fair. It has been featured by major national media such as Shanghai TV, Jiefang Daily and People's Daily Online.

After years of painstaking research, Professor Yin Weihai's team has obtained an internationally subversive discovery: inflammation and oxidative stress in vivo can increase epidermal keratin autofluorescence, and its intensity and inflammation are significantly positively correlated with the level of oxidative stress. Based on this original finding, they can non-invasively assess levels of inflammation and oxidative stress in vivo by detecting skin autofluorescence --- two common major pathological factors for a variety of major diseases. Using a self-developed "portable human autofluorescence imager" to detect 14 points in the patient's hand and elbow, the instrument and technology is non-invasive, fast and economical, and shows great potential in diagnosing major diseases. At the same time, this technology achieved visualization and quantifiability for the first time in history through "autofluorescence detection on the surface of the body".