Anna M. Upton

The paper develops a predictive model to rank tuberculosis regimens by relapse prevention using 28-day CFU and RS ratio data from a relapsing mouse model.

The paper evaluates next-generation TB drug combinations in a mouse model, showing some regimens cure 90% of mice in under 2 months with faster sterilizing efficacy than existing treatments.

The paper evaluates 25 tuberculosis drug combinations in a mouse model, finding 15 combinations with T90 <5 months and three top combinations curing 90% of mice in <3 months.

This paper evaluates alternative study designs for relapsing mouse models of tuberculosis to reduce animal use while maintaining accuracy in estimating treatment efficacy.

This study evaluates the forgiveness of TB drug combinations using a mouse model, finding BPaMZ is more forgiving of missed doses than RHZE/RH.