A team of University of Michigan researchers has developed a multimodal AI model to predict treatment outcomes of tuberculosis (TB) patients. Their analysis of worldwide patient data may lead to personalization of TB treatment.

"TB is the world's deadliest infectious disease, affecting millions of people each year. The goal of my lab is to develop new innovative solutions to stop the spread of drug resistant pathogens like those that cause TB," said Sriram Chandrasekaran, corresponding author and associate professor of biomedical engineering.