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UCLA-led team creates blood test using DNA methylation and AI to detect ALS earlier and differentiate it from similar diseases.
A UCLA Health-led team has developed a blood test that uses cell-free DNA and machine learning to detect ALS earlier and more accurately by identifying DNA methylation patterns across multiple tissues.
The test distinguishes ALS from other neurological conditions and could improve diagnosis, clinical trials, and monitoring, though larger studies are needed before clinical use.
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El equipo dirigido por la UCLA crea un análisis de sangre utilizando la metilación del ADN y la IA para detectar la ELA más temprano y diferenciarla de enfermedades similares.