Friday, Feb. 22, 2019 Big Data, Machine Learning Come to Bacteriology in NIAID Group A Strep Study NIAID has helped colleagues at Houston Methodist Hospital establish a "layered" big-data approach to analyze microbial genetic changes that can make some bacteria extremely dangerous to people. They used the Streptococcus pyogenes bacterium in the project but believe the approach will work with many bacterial pathogens, and the data produced could yield new therapeutics and vaccines. The researchers intricately analyzed more than 2,000 samples of strep isolated from patients from six countries, assessing genomics, transcriptomics and virulence. The data can guide their disease prevention efforts by helping determine whether no disease, mild disease or severe disease could result. National Institute of Allergy and Infectious Diseases  |  National Institutes of Health Update your subscriptions, modify your password or e-mail address, or stop subscriptions at any time on your Subscriber Preferences Page. You will need to use your e-mail address to log in. If you have questions or problems with the subscription service, please contact subscriberhelp.govdelivery.com. This service is provided to you at no charge by National Institute of Allergy and Infectious Diseases (NIAID). This email was sent to myhcistech.healthnews360@blogger.com using GovDelivery Communications Cloud on behalf of: National Institute of Allergy and Infectious Diseases · 5601 Fishers Lane · Bethesda, MD 20892 · 1-866-284-4107