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AbbottPatent grant

Abbott was granted a patent for estimating acute coronary risk.

What happened

In October 2026 Abbott patented a clinical decision-support system for assessing suspected heart-attack patients in hospitals and emergency departments.

Source

Abstract

The invention provides decision tree based systems and methods for estimating the risk of acute coronary syndrome (ACS) in subjects suspect of having ACS. In particular, systems and methods are provided that employ additive decision tree based algorithms to process a subject's initial cardiac troponin I or T (cTnI or cTnT) concentration, a subject's cTnI or cTnT rate of change, and at least one of the following: the subject's age, the subject's gender, the subject's ECG value, the subject's hematology parameter value, to generate an estimate risk of ACS. Such risk stratification allows, for example, patients to be ruled in or rule out with regard to needing urgent treatment.

patents.google.com/patent/US12758137Read the full source

Extracted by Autobound

From the Signal API record
Signal
Patent grant

What this signalsA new patent often shows where a company is putting its R&D budget.

Grant date
Oct 13, 2026
Inventors
4
Patent number
US12758137
Assignee
Abbott Laboratories

The full record

From the Signal API record

People

  • Agim BeshiriInventor
  • Shaoqing DuInventor
  • Janel HuangInventor
  • Shihai LuInventor

Details

Primary CPC class
A61B 5/349
USPTO assignee
Abbott Laboratories
What the invention does
A decision tree combines troponin levels and their changes with patient and ECG information to estimate the likelihood of acute coronary syndrome.

Topics and mentions

Tags

  • Intellectual Property
  • Research & Development
  • Healthcare Technology
  • Clinical Operations

Technologies named

  • clinical decision support
  • cardiac troponin testing
  • decision trees
  • electrocardiography

Extraction

Detected
Oct 14, 2026
signal_type
patents-company
signal_subtype
patentGrant

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This page shows a preview. The full patents-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/4e707dfc-f478-5b39-8bb0-f504541394db returns this record as JSON. POST /v1/companies/enrich returns every signal for abbott.com.

{
  "signal_id": "4e707dfc-f478-5b39-8bb0-f504541394db",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-10-14T15:05:36+00:00",
  "company": {
    "name": "Abbott",
    "domain": "abbott.com"
  },
  "data": {
    "cpc": [
      {
        "code": "A61B 5/349"
      },
      {
        "code": "A61B 5/33"
      },
      {
        "code": "G01N 33/6887"
      },
      {
        "code": "G06F 16/322",
        "label": "Electric digital data processing"
      },
      {
        "code": "G16H 50/30",
        "label": "Healthcare informatics (ICT for medical/healthcare data)"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Healthcare Technology",
      "Clinical Operations"
    ],
    "detail": "In October 2026 Abbott patented a clinical decision-support system for assessing suspected heart-attack patients in hospitals and emergency departments.",
    "summary": "Abbott was granted a patent for estimating acute coronary risk.",
    "event_at": "2026-10-13",
    "inventors": [
      {
        "name": "Agim Beshiri",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/agim-beshiri-md"
      },
      {
        "name": "Shaoqing Du",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Janel Huang",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Shihai Lu",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/shihai-lu-b8307113"
      }
    ],
    "event_kind": "grant_date",
    "grant_date": "2026-10-13",
    "source_url": "https://patents.google.com/patent/US12758137",
    "cpc_primary": {
      "code": "A61B 5/349"
    },
    "patent_title": "Decision tree based systems and methods for estimating the risk of acute coronary syndrome",
    "patent_number": "US12758137",
    "uspto_assignee": "Abbott Laboratories",
    "patent_abstract": "The invention provides decision tree based systems and methods for estimating the risk of acute coronary syndrome (ACS) in subjects suspect of having ACS. In particular, systems and methods are provided that employ additive decision tree based algorithms to process a subject's initial cardiac troponin I or T (cTnI or cTnT) concentration, a subject's cTnI or cTnT rate of change, and at least one of the following: the subject's age, the subject's gender, the subject's ECG value, the subject's hematology parameter value, to generate an estimate risk of ACS. Such risk stratification allows, for example, patients to be ruled in or rule out with regard to needing urgent treatment.",
    "precision_class": "structural",
    "invention_explanation": "A decision tree combines troponin levels and their changes with patient and ECG information to estimate the likelihood of acute coronary syndrome.",
    "technologies_mentioned": [
      "clinical decision support",
      "cardiac troponin testing",
      "decision trees",
      "electrocardiography"
    ]
  }
}

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