CASE STUDY

Predicting survivability of patients with Liver Hepatocellular Carcinoma

Key Highlights
  • Hepatocellular cancer has a high mortality rate but making a  prognosis is challenging. 
  • Predicting the survival outcomes of liver cancer patients using a single type of biomedical molecular data is challenging.
  • Multi-omics data from Liver OmixAtlas data can be integrated to train ML models for predicting patient survivability. 
  • Our ML model, trained on integrated multi-omics data, could predict liver cancer patient survivability with a high level of precision.
To download this case study, please fill this form
Thank you!
Click the button below to download the case study.
Download Now
Oops! Something went wrong while submitting the form.

All Case Studies

Talk to us

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.