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Leveraging Machine Learning to Predict Toxicity
Manage episode 321733041 series 3017470
内容由Adeline Lopez and NIEHS Superfund Research Program提供。所有播客内容（包括剧集、图形和播客描述）均由 Adeline Lopez and NIEHS Superfund Research Program 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
NIEHS Superfund Research Program (SRP) grantees developed a new computational approach to predict how hazardous substances may affect health based on key changes in cells. Led by April Z. Gu, Ph.D., of the Northeastern University Puerto Rico Testsite for Exploring Contamination Threats (PROTECT) SRP Center, researchers used machine learning and advanced algorithms to link biological changes from high throughput cell studies with health outcomes observed in animal studies.
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