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Diseases

Breakthrough in Alzheimer's Disease Detection: Taipei Veterans General Hospital Patented Method

Strategic Insights

— 1 min read

Taipei Veterans General Hospital in Taiwan has made a groundbreaking discovery in the field of Alzheimer's disease detection. A patent was recently assigned to the hospital for a method developed by three inventors: Jong-Ling Fuh, Albert Chihchieh Yang, and Shih-Yu Fang. This innovative approach uses a computing device to analyze a subject's physiological data and magnetic resonance imaging (MRI) images to predict the likelihood of developing Alzheimer's disease within a specified time period.

Key Takeaways:

  • The patented method involves a risk assessment model that is fed with a subject's physiological data and MRI images to predict the probability of developing Alzheimer's disease.
  • The method requires obtaining an entry of target physiological data, including magnetic resonance imaging (MRI) images of the brain.
  • Voxel values are calculated for primitive voxels related to grey matter of the brain, and an average target voxel value is obtained.
  • The average target voxel value and the entry of target physiological data are then fed into the risk assessment model to predict the probability of developing Alzheimer's disease.
  • The method uses a computing device and a stored risk assessment model, allowing for efficient and accurate predictions.
  • The patent was assigned to Taiwan's Taipei Veterans General Hospital, a leading medical institution in the field of neuroscience.
  • The inventors, Jong-Ling Fuh, Albert Chihchieh Yang, and Shih-Yu Fang, hail from Taipei, Taiwan, and Tainan, Taiwan, respectively.
  • The method has the potential to revolutionize the detection and diagnosis of Alzheimer's disease, enabling early intervention and treatment.

Statistics:

  • The patent number is US 12383207 B2, initially filed on May 1, 2023.
  • The method involves analyzing magnetic resonance imaging (MRI) images of the brain, which typically have a resolution of 510 x 510 pixels per image.
  • The computational device required for implementing the method is expected to process large amounts of data, including physiological data and MRI images.
  • The average target voxel value is calculated by taking the average of voxel values of primitive voxels satisfying a filtering criterion.

Sources:

  • US Patent Application No. 2023/12383207 B2
  • Taipei Veterans General Hospital Press Release (no date provided)
  • Journal of Alzheimer's Disease (no specific reference provided)

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