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研究人员开发了基于 ConvNeXt 深度学习模型的方法,用于检测新生儿脑电图中的低电压间期(LVI),其性能达到专家级水平(AUC 0.996),并证明 LVI 可作为新生儿脑病的稳健临床生物标志物,与 EEG 背景活动、HIE 严重程度及癫痫风险强相关。
The FDA has cleared the PrecivityAD2 blood test, developed from technology at WashU Medicine, to aid in Alzheimer's evaluation by detecting amyloid plaques with over 90% accuracy using mass spectrometry.