1 link tagged with all of: machine-learning + blood-samples + fragmentomics
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Researchers trained an AI model to detect Alzheimer's using blood samples, focusing on DNA fragment length patterns. They created a more interpretable classifier that outperforms traditional biomarker classes in detecting the disease.