Grants totaling $4.6 million support the use of machine learning to improve outcomes of people with HIV

PROVIDENCE, R.I. [Brown University] — Over the past four decades of treating HIV/AIDS, two important facts have been established: HIV-positive patients need to be put on treatment as soon as they’re diagnosed and then kept on an effective treatment plan. This response can help turn HIV into a chronic but manageable disease and can essentially help people live normal, healthy lives, said Joseph Hogan a professor of public health and of biostatistics at Brown University, who has been researching HIV/AIDS for 25 years.

Hogan is one of the primary investigators on two recently awarded grants from the National Institutes of Health, totaling nearly $4.6 million over five years, to support the creation and utilization of data-driven tools that will allow care programs in Kenya to meet these key treatment goals.

“If the system works as designed, then we have confidence that we’ll improve the health outcomes of people with HIV,” Hogan said. READ MORE