Reddit’s popularity as a tool for self-managing inflammatory bowel disease highlights opportunities for improvements in clinical care, according to a paper from Michigan Medicine researchers.

University of Phoenix College of Doctoral Studies has released a new white paper, “Reinventing Productivity: Aligning AI Innovation with Human Potential in the Modern Workforce,” by Jessica Sylvester, Ed.D., MBA, Senior Manager of College Operations and associate faculty member at the University, and a research fellow with the University’s Center for Educational and Instructional Technology Research (CEITR). The analysis explores why rising investment in artificial intelligence (AI) has not consistently translated into productivity gains and outlines leadership practices that center worker autonomy, well-being and equitable access to skill development.

A new study offers a glimpse at how direct-to-consumer pharmacy pricing could one day present stiff competition to the private prescription drug insurance model, researchers say.

A new analysis from UCLA Chicano Studies Research Center and the Latina Futures 2050 Lab shows disparities in pay for Latinas across California. Overall, Latinas in California receive 49 cents for every dollar earned by non-Hispanic white men. In some of California’s wealthiest counties, Latinas tend to experience an extreme wage gap when compared to non-Hispanic white men. In San Mateo, Santa Clara and Marin counties, where median household incomes are above $100,000, Latinas earn just 38, 37 and 34 cents per dollar, respectively.  This latest data is part of the Latina Wage Gap Disparities Across California counties report, co-authored by Veronica Terriquez, director of the center and co-founder of its Latina Futures 2050 Lab initiative. “On this Latina Equal Pay Day, it is important to drive this message: we cannot ignore existing pay gaps endured by Latinas—the largest ethnic racial group among California’s female workers,” Terriquez said.

In a sweeping study published today in Nature, researchers at UC Berkeley Haas, Stanford, and Oxford/Autonomy Univerisity documented extensive age and gender distortion across online media—and found that common algorithms are amplifying the bias.