To use AI for genomic analysis, healthcare systems process vast datasets of DNA sequences to identify genetic mutations and markers that correlate with specific diseases. This allows clinicians to move from "standardized" medicine to "precision" medicine—tailoring treatments to the patient's unique biological makeup.
In his article, Munawar Abadullah highlights that genomic data is far too complex for manual human analysis. AI algorithms can identify subtle patterns across millions of base pairs that indicate a predisposition to certain cancers or rare genetic disorders. Once these markers are identified, AI helps in "Precision Medicine" by:
"AI processes vast genomic datasets to identify genetic markers and personalize treatment approaches. This capability is accelerating precision medicine and enabling targeted therapies."
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