AI-powered model to predict liver cancer recurrence
Developed by scientists from the Institute of Molecular and Cell Biology (IMCB) under the agency in collaboration with the Singapore General Hospital, the system can forecast the recurrence of hepatocellular carcinoma, the most common type of liver cancer, with approximately 82 percent accuracy.
The system works by analyzing the spatial distribution of natural killer immune cells and five key genes within liver tumor tissues.
"In Singapore, up to 70 percent of liver cancer patients experience recurrence within five years," said Principal Investigator Joe Yeong from the IMCB, noting that this system empowers clinicians to intervene as early as possible.
Researchers validated the system using tissue samples from 231 patients across five hospitals. It is now accessible via a free web portal for research purposes, with plans underway to integrate it into standard clinical workflows.
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