HepatoPredict (CE-IVD)
HepatoPredict employs a machine learning algorithm combining tumor gene expression with clinical variables to accurately identify hepatocellular carcinoma patients for liver transplantation.
HepatoPredict, requiring 1 to 2 FFPE tissue sections*, is an IVD with a 5-hour hands-on time providing an easy-to-interpret report.
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Ophiomics & Biocartis partnering
*Check specimen requirements in section below
Specimen requirements:
- 1 H&E slide with the tumor identified and marked by a pathologist (to guide macrodissection)
- 2 x 5 micrometer FFPE tissue section (from needle biopsy)
- Tumor tissue area of at minimum 20 mm2
Supports your decision-making
Liver transplantation (LT) is the best curative treatment for Hepatocellular cancer (HCC) patients. Currently used criteria to identify patients for transplantation are either too strict, rejecting patients that could benefit from the transplant or overestimate the benefit from a LT, selecting patients that will relapse afterwards.
HepatoPredict addresses this clinical challenge by identifying HCC patients that will benefit from a liver transplant with high precision and sensitivity.
