Masterclass
Leveraging Automation for Evidence-Based Research
Join Dr. Katya Tsaioun, Executive Director of the Evidence-based Toxicology Collaboration at Johns Hopkins Bloomberg School of Public Health for a special masterclass webinar. Learn more about how automation and intelligent workflows enabled her working group to systematically map evidence to model the neurological effects of COVID-19.
Agenda - June 16 at 11 am EDT
| Introduction | Marina Palmero, Account Executive at Evidence Partners |
| Leveraging Automation, AI, and Intelligent Workflows in the Systematic Review Process for Evidence-Based Studies: CIAO-COVID International Project Use Case |
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| Demo - DistillerSR | Nicole LeDrew, Software Engineer at Evidence Partners |
| Q&A |
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DistillerSR is easy to use, saves time, and is far superior to any other product we have used for screening.
Renee Wilson, Evidence-Based Research Center at Johns Hopkins University
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Watch how DistillerSR helps teams achieve faster and more accurate literature reviews for evidence-based research.
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Case Study
Learn how this Health Agency used AI to Reduce COVID-19 Citation Screening and Data Extraction By 50%.