首页> 外国专利> Using machine learning and / or neural networks to verify stem cells and their derivatives for use in cell therapy, drug discovery and diagnostics

Using machine learning and / or neural networks to verify stem cells and their derivatives for use in cell therapy, drug discovery and diagnostics

机译:使用机器学习和/或神经网络来验证干细胞及其用于细胞疗法,药物发现和诊断的衍生物

摘要

A method for non-invasive prediction of the characteristics of one or more cells and cell derivatives is provided.The method includes training a machine learning model using at least one of a plurality of training cell images representing a plurality of cells and data identifying the characteristics for the plurality of cells.This method is further a step of receiving at least one test cell image representing at least one test cell to be evaluated, and at least one test cell image is obtained non invasively and based on the absorbance as the absolute scale of light, the process The method of providing at least one test cell image to its trained machine learning model.Machine learning based on the trained machine learning model is used to predict the characteristics of at least one test cell.
机译:提供了一种用于一个或多个小区和细胞衍生物的特征的非侵入性预测方法。方法包括使用表示多个小区的多个训练单元图像中的至少一个来训练机器学习模型和识别特性的数据对于多个细胞。该方法还进一步是接收代表至少一个要评估的测试单元的测试单元图像的步骤,并且至少一个测试单元图像被侵入地获得并基于绝对尺度的吸光度获得光,该过程基于培训的机器学习模型向其培训的机器学习模型提供至少一个测试单元图像的方法用于预测至少一个测试单元的特性。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号