Dr. Stuart Sealfon “Big Data Now Has a More Comprehensive Immune System”
Researchers from the Icahn School of Medicine at Mount Sinai have designed a new online tool, ImmuNet, which utilizes big data to predict the role of key proteins and genes in diseases of the human immune system. The online tool uses information compiled from 38,088 public experiments and enables immunology researchers without special computational training to "interrogate" this archive of public data and pull previously unidentified disease patterns from databases. "This new tool unlocks the insight contained in big data, the world's biomedical research output, to help understand immunological mechanisms and diseases," said co-senior author Stuart Sealfon, MD, professor and chairman of the Department of Neurology at Mount Sinai. "The goal of 'ImmuNet' is to accelerate the understanding of immune pathways and genes, ultimately leading to the development of improved treatment for diseases with an immunological component." Learn more
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