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UrduNew Approach Methodologies (NAMs) can quickly and efficiently collect a large amount of information about the potential toxicity of chemicals without the use of intact animals, but there are challenges to using them to evaluate developmental toxicity compared with adult…
Tag: Predictive Health
Johns Hopkins Researchers to Use Machine Learning to Predict Heart Damage in COVID-19 Victims
Johns Hopkins researchers recently received a $195,000 Rapid Response Research grant from the National Science Foundation to, using machine learning, identify which COVID-19 patients are at risk of adverse cardiac events such as heart failure, sustained abnormal heartbeats, heart attacks, cardiogenic shock and death.