A Healthcare Innovation article on the use of artificial intelligence and predictive analytics to inform public health efforts put a spotlight on the work of the Center for Neighborhood Knowledge at UCLA Luskin. The center created a tool that maps Los Angeles County neighborhoods to assess residents’ vulnerability to COVID-19 infection. The predictive model used four indicators: preexisting medical conditions, barriers to accessing health care, built-environment characteristics and socioeconomic challenges that create vulnerabilities. “The UCLA case study is emblematic of precisely the kinds of use cases that will be emerging in the coming years, as healthcare leaders start to plumb the vast potential of AI and other forms of predictive analytics to serve the purposes of public health here in the U.S.,” the article said.