Apostle TritonTM Liquid Biopsy AI Framework


Apostle TritonTM AI Technology learns from a curated internal cancer database of 30,000 patients with an unprecedented resolution.

Why do we need machine-learning in a liquid biopsy technology?

  • Cancer is a genetically heterogeneous disease.
  • Somatic mutations exist in both cancer and normal cells.
  • We still know very little about the genetics of cancer. There is a lacking of a comprehensive and coherent way to mine the big data repository of cancer genetics and apply the applicable findings.
  • The clinical application of liquid biopsy is further complicated by the characteristics of cell free tumor nucleic acids: low concentration, complex fragmentation, etc.

Here, we introduce Apostle TRITONTM, a deep-learning framework designed for liquid biopsy, which learns from cancer genomic big data, evaluates disease effects of somatic mutations/variants and expression signatures, and apply the findings in the settings of liquid biopsy.