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    "story_id": "mp-2026-09-25-026",
    "source_story_id": "tmp-story-tracer-heart-failure-telemonitoring",
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    "headline": "Telemonitoring Flagged Two-Thirds of Heart-Failure Timelines",
    "slug": "telemonitoring-flagged-two-thirds-of-heart-failure-timelines",
    "dek": "TRACER worked from sparse, irregular biomarker measurements in a 276-patient dataset.",
    "summary": "TRACER worked from sparse, irregular biomarker measurements in a 276-patient dataset.",
    "body_text": "TRACER used time-aware biomarker embeddings, contrastive pretraining and separate event classifiers on overlapping windows from 276 heart-failure patients. The model correctly identified 66.7% of timelines leading to relevant hospitalization while overestimating 7.9%, according to the authors. Training the task as event detection outperformed direct forecasting in the limited-event setting. The retrospective result suggests an alerting direction; it is not clinical validation or evidence of improved patient outcomes.",
    "why_it_matters": "TRACER worked from sparse, irregular biomarker measurements in a 276-patient dataset.",
    "limitations": [
      "The model correctly identified 66.7% of timelines leading to relevant hospitalization while overestimating 7.9%, according to the authors.",
      "The retrospective result suggests an alerting direction; it is not clinical validation or evidence of improved patient outcomes."
    ],
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    "first_published_at": "2026-09-25T09:00:00.000-04:00",
    "modified_at": "2026-09-25T09:00:00.000-04:00",
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        "text": "TRACER worked from sparse, irregular biomarker measurements in a 276-patient dataset.",
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        "qualification": "The model correctly identified 66.7% of timelines leading to relevant hospitalization while overestimating 7.9%, according to the authors."
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    "tags": [
      "heart failure",
      "telemonitoring",
      "clinical AI"
    ],
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    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-09-25-015",
      "title": "arXiv preprint 2609.29742",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.29742",
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      "published_at": "2026-09-24T08:57:12.000-04:00",
      "accessed_at": "2026-09-25T08:29:03.434-04:00",
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    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "Telemonitoring Flagged Two-Thirds of Heart-Failure Timelines",
    "publisher": "The Machine Press",
    "published_at": "2026-09-25T09:00:00.000-04:00",
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