Drug sensitivity prediction :

Designed to aid anti-cancer drug selection in clinical research, our innovative prediction models incorporate unique feature engineering and data interpretation processes to give more informative and reliable results. The sophisticated algorithm also forms the foundation for us to develop dedicated genetic test for clinical applications.

Cell fingerprinting :

All cells contain specific genetic and epigenetic features. With our in-house data processing algorithms, the model exploits these unique fingerprints to detect the presence of cancerous development. Once detected, the cancer types and progression stages can also be identified through our extended models.