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{
  "uri": "at://did:plc:yuomq2vsledkrl7flskqteeo/app.bsky.feed.post/3logmkridek2v",
  "cid": "bafyreif2oezrbgeupivpjhp4szarhxhgw62ggxpeuivjo7ax6jjkvj7wb4",
  "value": {
    "text": "We applied machine learning–based causal forest models to find heterogeneity in tranexamic acid’s effects on 24-hour mortality rate and to suggest target patients who might benefit from treatment",
    "$type": "app.bsky.feed.post",
    "langs": [
      "en"
    ],
    "reply": {
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        "uri": "at://did:plc:yuomq2vsledkrl7flskqteeo/app.bsky.feed.post/3logmjhggz22f"
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      "parent": {
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        "uri": "at://did:plc:yuomq2vsledkrl7flskqteeo/app.bsky.feed.post/3logmjhggz22f"
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    },
    "createdAt": "2025-05-05T14:51:10.577Z"
  }
}