Multimodal AI model may guide personalized treatments for TB

A team of University of Michigan researchers, led by Sriram Chandrasekaran, Associate Professor, Biomedical Engineering, and postdoctoral fellow Awanti Sambarey developed a multimodal AI model to predict treatment outcomes of tuberculosis (TB) patients. Their analysis of real-world worldwide patient data may lead to personalization of TB treatment.