DIVERSITY
AI-driven recruitment Vaccine recruiters chose the second method as the most ethical , and so DataRobot built forecasting models able to predict which areas would have a surge of infections eight to 12 weeks in advance . Using AI , they were able to drill down into hyperlocal areas .
" We built very specialised AI-driven epidemiological models to understand where surges were going to occur . At the beginning of the pandemic a lot of predictive models were looking at the US as a whole , or by state , whereas we were trying to look at very granular areas , at points of census track . That was only possible thanks to the power of AI ."
DataRobot tracked areas with a high rate of mobility , where people are more likely to
“ We were looking for opportunities that would help speed up the clinical trials ”
SALLY EMBREY VP OF PUBLIC HEALTH AND MEDICAL TECHNOLOGIES AT DATAROBO be out in public interacting with others - and therefore have a higher risk of spreading the virus . " What we found most surprising was how you could speed up the clinical trials and the recruitment process using this data " Embrey says . " You weren ' t waiting for people to fill out a survey , you were able to be proactive and say , hey , we are worried about this area , let ' s go and start recruiting people within the next 24 to 48 hours ."
This allowed vaccine recruitment sites enough time to build facilities and start recruiting ahead of a surge . The modelling also enabled them to focus on areas with large minority populations , to help recruiters find a more diverse group of participants for the trials .
120 August 2021