Why wouldn't your doctor do this 20 year one? That should give enough time to use protocols to prevent it from happening.
Simple test could help predict risk of Alzheimer’s disease 20 years in advance September 2023
Do you prefer your doctor and hospital incompetence NOT KNOWING? OR NOT DOING?
The latest here:
AI Predicts Alzheimer’s 7 Years Early
Summary: Researchers have developed an AI method that can predict Alzheimer’s Disease up to seven years before the onset of symptoms, utilizing machine learning to analyze patient records.
Their study highlights high cholesterol and osteoporosis—particularly in women—as key predictors, showcasing AI’s potential to unveil complex disease patterns and biological drivers. By integrating clinical data with genetic databases through tools like UCSF’s SPOKE, the team has identified genes linked to Alzheimer’s, offering new avenues for early diagnosis and understanding the interplay between different health conditions and Alzheimer’s risk.
This approach promises to enhance precision medicine for Alzheimer’s and other challenging diseases.
Key Facts:
- Early Prediction through AI: Machine learning applied to clinical data can predict Alzheimer’s onset with 72% accuracy up to seven years in advance.
- Significant Predictors Identified: High cholesterol and osteoporosis are significant predictors of Alzheimer’s, with osteoporosis being a notable factor for women.
- Genetic Insights Unveiled: Using UCSF’s SPOKE, researchers connected Alzheimer’s risk to specific genes, including a link between osteoporosis and Alzheimer’s in women through the MS4A6A gene.
Source: UCSF
UC San Francisco scientists have found a way to predict Alzheimer’s Disease up to seven years before symptoms appear by analyzing patient records with machine learning.
The conditions that most influenced prediction of Alzheimer’s were high cholesterol and, for women, the bone-weakening disease osteoporosis.
The work demonstrates the promise of using artificial intelligence (AI) to spot patterns in clinical data that can then be used to scour large genetic databases to determine what is driving that risk. The researchers hope that one day it will hasten the diagnosis and treatment of Alzheimer’s and other complex diseases.
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