The greatest cause of death due to infection globally is tuberculosis (TB). Two supercomputers – Comet at the San Diego Supercomputer Center (SDSC) at UC San Diego and Stampede2 at the Texas Advanced Computer Center (TACC) at the University of Texas at Austin – are being used to help combat this lethal disease.

Researchers at the University of California San Diego have developed an approach that uses machine learning to identify and predict which genes make infectious bacteria resistant to antibiotics. The approach was tested on strains of Mycobacterium tuberculosis—the bacteria that cause tuberculosis (TB) in humans. It identified 33 known and 24 new antibiotic resistance genes in these bacteria.

Researchers from University of California San Diego School of Medicine, with statewide collaborators, report that patients who recorded videos of themselves taking tuberculosis (TB) medications better adhered to treatment than patients who were observed in-person.