Multimodal AI Model May Guide Personalized Treatments for Tuberculosis

February 23, 2024


Read time:

5-15 mins
Human Lungs Computer Model Cells
Presented by Health Lab

Infecting millions of people a year, tuberculosis is the world’s deadliest infection. The team of University of Michigan researchers, led by Sriram Chandrasekaran, Ph.D., associate professor of biomedical engineering, and postdoctoral fellow Awanti Sambarey, Ph.D., developed a multimodal AI model to predict treatment outcomes of tuberculosis (TB) patients.

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