Medical Xpress·5 min read·hard

Algorithmic tool may improve screening of patients for an Alzheimer's clinical trial

K
Keck School of Medicine of USC
Algorithmic tool may improve screening of patients for an Alzheimer's clinical trial
AI Summary

Researchers have developed a blood-based screening algorithm that significantly reduces the need for expensive PET scans when identifying candidates for Alzheimer's clinical trials. This method helps streamline the recruitment process for testing early-stage treatments.

Why it matters

Improving trial recruitment efficiency is essential for accelerating the development of treatments for neurodegenerative diseases.

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edited by Gaby Clark , reviewed by Robert Egan

This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility:

Add as preferred source Credit: https://kaboompics.com/ from Pexels A new blood-based screening algorithm dramatically reduced the number of unnecessary PET scans needed to recruit patients at risk of Alzheimer's disease for a clinical trial, according to research from scientists at the Keck School of Medicine of USC published in the journal Alzheimer's & Dementia .

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