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人工智能促进ALS研究中的运动神经元分析和筛选
研究人员利用机器学习和人工智能驱动的图像分析技术进行实时成像和单细胞跟踪,以评估lmn的形态和活力,并将非lmn细胞排除在分析之外。森本的团队使用人工智能“通过提高识别细胞表型、检测细微变化和预测疾病进展的准确性和效率来增强自动化分析。” ...
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