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.