Deep Immune
Deep Immune, an early lung cancer monitoring platform, is equipped with an immunotherapy programme based on TCR observation technology and deep learning algorithms, which enables accurate early detection of cancer through immunomic data analysis.
Based on deep learning and a reinforcement learning algorithm, the product can determine the probability of the occurrence of lung cancer by analysing tissue and blood sample data.
The product intelligently generates analysis reports, which greatly reduce the complexity and diagnosis cost of early lung cancer screening and improve the survival probability of patients. The deep learning model has reached 97% accuracy.
Team members
Miss Wang Xueying* (PhD student, Dept. of Computer Science, CityU)
Miss Huo Miaozhe (PhD student, Dept. of Computer Science, CityU)
Miss Li Jing (Northeastern University)
Mr Zhang Yuanzheng (Northeastern University)
Miss Liu Wei (Undergrad, Dept. of Computer Science, CityU)
Miss Liu Jiahe (Undergrad, School of Creative Media, CityU)
Miss Zhou Chenxin (Northeastern University)
* Person-in-charge
(Info based on the team's application form)
Miss Huo Miaozhe (PhD student, Dept. of Computer Science, CityU)
Miss Li Jing (Northeastern University)
Mr Zhang Yuanzheng (Northeastern University)
Miss Liu Wei (Undergrad, Dept. of Computer Science, CityU)
Miss Liu Jiahe (Undergrad, School of Creative Media, CityU)
Miss Zhou Chenxin (Northeastern University)
* Person-in-charge
(Info based on the team's application form)
Achievement(s)
- CityU HK Tech 300 Seed Fund (2021)
- National Silver Award, The 7th China International College Students’ “Internet +” Innovation and Entrepreneurship Competition (2021)
- “Hong Kong University of Science and Technology GBA Youth Innovation Award”, 2021 Qianhai Guangdong-Hong Kong-Macao-Taiwan Youth Innovation and Entrepreneurship Competition
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