IBM
Case Studies
Substantial data analysis improves gene-environmental correlation identification to help develop new treatment for multiple sclerosis
Overview
Substantial data analysis improves gene-environmental correlation identification to help develop new treatment for multiple sclerosisIBM |
Analytics & Modeling - Big Data Analytics Analytics & Modeling - Data Mining | |
Education Healthcare & Hospitals | |
Product Research & Development | |
Predictive Maintenance Predictive Quality Analytics | |
Data Science Services | |
Operational Impact
Reduces the time required to conduct gene-environmental interactions analysis by 99 percent | |
Facilitates new findings and breakthroughs, allowing research scientists to publish multiple articles in scientific journals | |
Helps enable studies requiring more complex variables such as vector phenotypes, giving researchers the ability to speed computations and increase data sets | |
Quantitative Benefit
Reduces the time required to conduct gene-environmental interactions analysis from 27.2 hours to 11.7 minutes | |