Accelerating Drug Discovery and Clinical Trials
The traditional drug development process takes over a decade and billions of dollars. Big Data is dramatically shortening this timeline.
In-Silico Modeling: Researchers use Big Data to simulate how new chemical compounds interact with human cells on a computer, identifying promising candidates before they ever reach a physical lab.
Clinical Trial Recruitment: AI scans EHR databases to quickly find patients who meet the specific criteria for a clinical trial, reducing recruitment time from months to days.
Real-World Evidence (RWE): Using data from the general population to supplement trial findings, helping regulators like the FDA approve drugs for new uses.
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