Uthealth, virtusa, cardinal health, and aws use ai and machine learning to advance medical research

Virtusa corporation announced it is collaborating with the university of texas health science center at houston (uthealth), cardinal health, and amazon web services (aws) to use ai and machine learning techniques to advance medical research. this research collaboration is led by uthealth's faculty member, hulin wu, phd, and will initially focus on finding the best treatment and management strategies for subarachnoid hemorrhage (sah) and diabetes based on health care data and computer simulations. virtusa and cardinal health will simulate a comprehensive dataset comprising electronic health records (ehr) representing more than 30,000 patients. using vlifetm, virtusa's cloud-based platform consisting of a comprehensive hipaa-compliant data lake with multiple data sources, pre-built apis, ai, and machine learning models, researchers hope to uncover hidden trends that can lead to new treatment strategies and cures for a range of illnesses. uthealth will leverage the simulated data to train and evaluate machine learning models capable of predicting treatment outcomes for certain types of illnesses. the data provided through cardinal health's proxi patient population simulation requires minimum data cleaning and preparation and is ready for the application of machine learning models soon after synthesis.
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