Data Science Tools Will Speed Rare Disease Solutions

image of NLM building with red, green, and blue uplighting and the Rare Disease Day logo

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.

Meet the Next Generation of Leaders Advancing Data Science and Informatics at NLM

Guest post by Virginia Meyer, PhD, Training Director for the Intramural Research Program, National Library of Medicine, National Institutes of Health. Working at NLM means being at the forefront of innovation in the rapidly evolving fields of data science and informatics. Within that environment, the NLM Intramural Research Program (IRP) is dedicated to supporting individuals … Continue reading Meet the Next Generation of Leaders Advancing Data Science and Informatics at NLM

Using Large Datasets to Improve Health Outcomes

Guest post by Lyn Hardy, PhD, RN, Program Officer, Division of Extramural Programs, National Library of Medicine, National Institutes of Health. Before the advent of algorithms to determine the best way to treat and prevent heart disease, a health care provider looking for best practices for their patients may not have had the resources to … Continue reading Using Large Datasets to Improve Health Outcomes