由UCLA牵头的小组利用DNA甲基化和AI进行血液测试,以便更早地检测ALS,并将其与类似疾病区分开来。 UCLA-led team creates blood test using DNA methylation and AI to detect ALS earlier and differentiate it from similar diseases.

加州大学洛杉矶分校健康领导小组开发了一项血液测试,利用无细胞脱氧DNA和机器学习来更早和更准确地检测ALS,通过查明多组织中的DNA甲基化模式。 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. 该试验将ALS与其他神经疾病区分开来,并可改进诊断、临床试验和监测,尽管在临床使用前需要进行更多的研究。 The test distinguishes ALS from other neurological conditions and could improve diagnosis, clinical trials, and monitoring, though larger studies are needed before clinical use.