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.
|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||
|Demo - DistillerSR||Nicole LeDrew, Software Engineer at Evidence Partners|
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
Watch how DistillerSR helps teams achieve faster and more accurate literature reviews for evidence-based research.
Learn how this Health Agency used AI to Reduce COVID-19 Citation Screening and Data Extraction By 50%.