Heartflow was granted a patent for predicting vulnerable coronary plaque.

{
  "signal_id": "b12e90f9-8303-51cb-9838-659227bc937f",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-16T03:49:36+00:00",
  "company": {
    "name": "HeartFlow",
    "domain": "heartflow.com"
  },
  "data": {
    "cpc": [
      {
        "code": "A61B 34/10"
      },
      {
        "code": "A61B 5/0066"
      },
      {
        "code": "A61B 5/02007"
      },
      {
        "code": "A61B 5/026"
      },
      {
        "code": "A61B 5/7275"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Healthcare Technology",
      "Medical Research",
      "Artificial Intelligence"
    ],
    "detail": "In August 2026 Heartflow patented patient-specific analysis for assessing coronary plaque risk in cardiovascular imaging and clinical care.",
    "summary": "Heartflow was granted a patent for predicting vulnerable coronary plaque.",
    "event_at": "2026-08-11",
    "inventors": [
      {
        "name": "Gilwoo Choi",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/gilwoo-choi-b750103"
      },
      {
        "name": "Leo Grady",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Michiel Schaap",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/michielschaap"
      },
      {
        "name": "Charles A. Taylor",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "event_kind": "grant_date",
    "grant_date": "2026-08-11",
    "source_url": "https://patents.google.com/patent/US12702488",
    "cpc_primary": {
      "code": "A61B 34/10"
    },
    "patent_title": "Systems and methods for predicting coronary plaque vulnerability from patient-specific anatomic image data",
    "patent_number": "US12702488",
    "uspto_assignee": "Heartflow, Inc.",
    "patent_abstract": "Systems and methods are disclosed for predicting coronary plaque vulnerability, using a computer system. One method includes acquiring anatomical image data of at least part of the patient's vascular system; performing, using a processor, one or more image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical image data; predicting, using the processor, a coronary plaque vulnerability present in the patient's vascular system, wherein predicting the coronary plaque vulnerability includes calculating an adverse plaque characteristic based on results of the one or more of image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis of the anatomical image data; and reporting, using the processor, the calculated adverse plaque characteristic.",
    "precision_class": "structural",
    "invention_explanation": "A computer analyzes a patient’s vascular images, blood flow, vessel shape, and tissue mechanics to estimate whether coronary plaque may rupture.",
    "technologies_mentioned": [
      "cardiovascular imaging",
      "computational fluid dynamics",
      "medical image analysis"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/b12e90f9-8303-51cb-9838-659227bc937f \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"heartflow.com","limit":20}'