Researchers improved existing polygenic risk scores using health records and ancestrally diverse genomic data. Credit: Darryl Leja, National Human Genome
Drug discovery is time-consuming and expensive, but artificial intelligence could save humans both time and money to bring new therapies and cures to patients.
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By applying machine learning to medical record data, scientists found that secondary bacterial pneumonia that does not resolve was a key driver of death in patients with COVID-19. It may even exceed death rates from the viral infection itself. The scientists also found evidence that COVID-19 does not cause a “cytokine storm,” so often believed to cause death.