A MACHINE LEARNING ALGORITHM FOR PREDICTING CLINICAL OUTCOMES AND IDENTIFYING DRUG TARGETS IN ISCHEMIC STROKE
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United States of America Patent
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Issued Date -
May 4, 2023
app pub date -
Oct 13, 2020
filing date -
Oct 10, 2019
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Abstract
The presently-disclosed subject matter generally to methods for identifying and analyzing biomarkers to determine group effects. The presently-disclosed subject matter also relates to methods for identifying genes and proteins that increase or decrease in response to ischemic stroke damage. The disclosed subject matter further describes methods of predicting edema and infarct volume in a patient. Also described herein are methods of determining the necessity of intervention for smokers. Further disclosed herein, are methods for testing therapies for ischemic stroke.
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