[SPONSORED CONTENT] In biomedical research it’s accelerate or perish. Drug discovery is a trial-and-error process driven by simulations – faster simulations, enabled by compute- and data-intensive technologies, mean more runs in less time, resulting in errors identified and solutions achieved. Established in 1946, the Oklahoma Medical Research Foundation is a nonprofit research institute with more than 450 staff and over 50 labs studying cancer, heart disease, autoimmune disorders and aging-related diseases. OMRF discoveries led to the first, U.S.-approved therapy targeting sickle cell disease and the first approved treatment for neuromyelitis optica spectrum disorder, an autoimmune disease. The foundation’s research is enabled in part by advanced technology – accelerated clusters and high-performance data storage that support workloads fueled by massive data sets.
Big Data and Medical Research
August 8, 2020 by
In this contributed article, Magnolia Potter believes that the use of big data in medical research and advancement is of paramount importance. Artificial intelligence and machine learning are pioneering the ethical collection of medical data, the discovery of new drug therapies, and improved outcomes for patients. By analyzing public health concerns in real-time, big data can advance medical research in multiple fields, improve patient care, and prevent the spread of deadly diseases.
