Deep-Rx
Genomics-Driven Precision Personalized Therapeutics
We leverage low-cost genomic sequencing to obtain users' personal DNA information, testing for key disease-associated genetic markers. Combining this DNA data with patient diagnostic information, we apply advanced medical language models to analyze their disease and subclinical conditions, predicting genetic-level disease risks. Tailored to each individual's unique genetic profile, we precisely recommend personalized daily regimens, health supplements, and pharmaceutical drugs. Within our prevention and treatment plans, we forecast post-medication recovery, continuously track patient medication usage, and conduct regular check-ups, providing long-term gene-level health support.
Team members
Mr Song Zhi* (PhD (CS, 2006), City University of Hong Kong)
Mr Jin Wenyi (PhD (BME, 2005), City University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)
Mr Jin Wenyi (PhD (BME, 2005), City University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)