Data Science Tools Will Speed Rare Disease Solutions

Data Science Tools Will Speed Rare Disease Solutions

Guest AuthorMar 15, 20235 min read
More than 10,000 rare diseases affect up to 400 million people worldwide, and those with rare diseases struggle for about six years on average before they receive an accurate diagnosis. But data-driven innovations are unlocking answers about rare diseases—as well as more common diseases—faster than ever before.


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Meet the Director

Patricia Flatley Brennan, RN, PhD, is the director of the NIH National Library of Medicine, a leader in biomedical informatics and computational health data science research and the world’s largest biomedical library. Since joining in 2016, she has positioned NLM as a global scientific research library with visible and accessible pathways to research and information that is universally actionable, meaningful, understandable, and useful. This ensures that scientists, policymakers, clinicians, patients, and the public can access biomedical information when and where they need it.

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About the Mezzanine

Perched over the southeast corner of the NIH campus in Bethesda, Maryland, the National Library of Medicine building is an impressive limestone structure topped with a large gull wing dome (a four-quadrant hyperbolic paraboloid shell made of reinforced concrete, to be precise).

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