{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreihe5pzp7x3yaosv5niogisek2akbxxaqshdceiefqzrew42k5v5oi",
    "uri": "at://did:plc:pmmp7irwts7faw56jdxk3idc/app.bsky.feed.post/3mhwseko644f2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreigbumfweqs7fpd2ukp3ievfvstleq2yhkvfzysgukajxj624ibku4"
    },
    "mimeType": "image/jpeg",
    "size": 61398
  },
  "path": "/news/2026-03-machine-enable-liver-cancer-routine.html",
  "publishedAt": "2026-03-26T00:00:03.000Z",
  "site": "https://medicalxpress.com",
  "textContent": "A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common type of liver cancer, with high accuracy. These are the findings of a study published in Cancer Discovery.",
  "title": "A machine learning model may enable liver cancer risk prediction with routine clinical information"
}