Scholarlink

As things stand, discovery and diagnosis of dementia are usually made after the patient’s condition has progressed, but brain alterations may start ten years or more prior to the onset of clinical symptoms. In order to develop affordable initial biomarkers, facilitate earlier testing, screening in home settings, prediction will collect participant data from several screening stages, including imaging, blood, electrophysiological, and digital biomarkers. Finding the set of biomarkers that will yield most accurate Alzheimer’s disease prediction is the initial stage in the approach, and it additionally involves encryption of the information that was gathered from the 4,000 participants in the study. AI is expected to play a significant role in interpreting the data and determining the optimal arrangements for the gathered biomarkers.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Generative AI for the Detection and Prediction of Alzheimer’s Biomarkers

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • B. Indrani,
  • K. Kala

摘要

As things stand, discovery and diagnosis of dementia are usually made after the patient’s condition has progressed, but brain alterations may start ten years or more prior to the onset of clinical symptoms. In order to develop affordable initial biomarkers, facilitate earlier testing, screening in home settings, prediction will collect participant data from several screening stages, including imaging, blood, electrophysiological, and digital biomarkers. Finding the set of biomarkers that will yield most accurate Alzheimer’s disease prediction is the initial stage in the approach, and it additionally involves encryption of the information that was gathered from the 4,000 participants in the study. AI is expected to play a significant role in interpreting the data and determining the optimal arrangements for the gathered biomarkers.