{
  "patent_number": "US 12376789",
  "country": "US",
  "title": "How Computers Use Brain Maps to Diagnose Alzheimer's Disease",
  "original_title": "Method of providing diagnostic information on Alzheimer's disease using brain network",
  "summary": "A method for classifying stages of Alzheimer's disease by turning brain scan data into mathematical graphs and using machine learning to identify patterns.",
  "what_it_does": "The patent describes a computational pipeline that turns raw brain scan data—like EEG or MRI—into a mathematical representation of how different brain regions communicate. First, it extracts data from a scan and builds a 'brain network graph,' where brain regions are nodes and their connections are edges. It then uses a technique called node2vec to turn this complex graph into a simplified list of numbers, known as a feature vector. Finally, it uses machine learning algorithms like Support Vector Machines to analyze these vectors and classify whether a patient is healthy, has mild cognitive impairment, or has Alzheimer's disease.",
  "what_it_does_not_cover": [
    "Does not cover the physical hardware or medical devices used to capture the initial EEG, fMRI, or PET scans.",
    "Does not cover diagnostic methods that rely solely on clinical interviews or memory tests without the graph-based computational analysis.",
    "Does not cover the specific medical treatment or drug intervention prescribed after a diagnosis is made.",
    "Does not cover general-purpose machine learning algorithms that are not specifically applied to the described brain network graph methodology."
  ],
  "filed": "2022-02-04",
  "granted": "2025-08-05",
  "expires": null,
  "status": "active",
  "holder": "Chosun University Industry Academic Cooperation Foundation",
  "holder_url": "https://patentbrief.org/company/chosun-university-industry-academic-cooperation-foundation",
  "inventors": [
    {
      "name": "Goo-Rak KWON",
      "url": "https://patentbrief.org/inventor/goo-rak-kwon"
    }
  ],
  "times_cited": 0,
  "tags": [
    "ai_ml",
    "biotech",
    "software"
  ],
  "abstract": "The present invention relates to a method of providing diagnostic information for Alzheimer's disease using a brain network.",
  "url": "https://patentbrief.org/patent/us/12376789/raptor-testing",
  "markdown_url": "https://patentbrief.org/patent/us/12376789/raptor-testing/md",
  "google_patents_url": "https://patents.google.com/patent/US12376789",
  "relatedPatents": []
}