Caris MPI was granted a patent for predicting platinum chemotherapy response.

{
  "signal_id": "16d024f7-1598-5f42-b173-835bf39015ce",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-15T03:24:34+00:00",
  "company": {
    "name": "Caris Life Sciences",
    "domain": "carislifesciences.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G16H 20/10",
        "label": "Healthcare informatics (ICT for medical/healthcare data)"
      },
      {
        "code": "G06N 3/084",
        "label": "Computing arrangements based on specific computational models"
      },
      {
        "code": "G06N 20/00",
        "label": "Computing arrangements based on specific computational models"
      },
      {
        "code": "G16H 10/60",
        "label": "Healthcare informatics (ICT for medical/healthcare data)"
      },
      {
        "code": "G16H 50/20",
        "label": "Healthcare informatics (ICT for medical/healthcare data)"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Healthcare Technology",
      "Artificial Intelligence",
      "Machine Learning"
    ],
    "detail": "In September 2026 Caris MPI patented a cancer-treatment response tool for oncology care, using molecular patient data to support chemotherapy decisions.",
    "summary": "Caris MPI was granted a patent for predicting platinum chemotherapy response.",
    "event_at": "2026-09-08",
    "inventors": [
      {
        "name": "Jim Abraham",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/jimpabraham"
      },
      {
        "name": "Wolfgang Michael Korn",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "David Spetzler",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/david-spetzler-397a407"
      }
    ],
    "tech_area": "health tech / medical informatics",
    "event_kind": "grant_date",
    "grant_date": "2026-09-08",
    "source_url": "https://patents.google.com/patent/US12731666",
    "cpc_primary": {
      "code": "G16H 20/10",
      "label": "Healthcare informatics (ICT for medical/healthcare data)"
    },
    "patent_title": "Pan-cancer platinum response predictor",
    "patent_number": "US12731666",
    "uspto_assignee": "Caris MPI, Inc.",
    "patent_abstract": "Comprehensive molecular profiling provides a wealth of data concerning the molecular status of patient samples. Such data can be compared to patient response to treatments to identify biomarker signatures that predict response or non-response to such treatments. This approach has been applied to identify biomarker signatures that correlate with response of cancer patients to platinum-based chemotherapy. Described herein are data structures, data processing, and machine learning models to predict a probability of benefit of a treatment for a disease or disorder of a subject having a particular set of biomarkers, as well as an exemplary application of such a model to precision medicine, e.g., to methods for selecting a treatment based on a molecular profile, e.g., a treatment comprising platinum therapy.",
    "precision_class": "structural",
    "invention_explanation": "A machine-learning method that studies tumor molecular patterns to estimate whether a patient’s cancer will respond to platinum-based chemotherapy.",
    "technologies_mentioned": [
      "precision oncology",
      "molecular profiling",
      "machine learning",
      "clinical decision support"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/16d024f7-1598-5f42-b173-835bf39015ce \
  -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":"carislifesciences.com","limit":20}'