The PredictTB consortium works actively to design and promote training and networking opportunities...
How the PredictTB Student Presentation Session fits into the project’s broader Capacity Building work
Science communication is becoming an increasingly important skill to master for people involved in...
The PredictTB consortium held its fourth annual meeting virtually on October 13-14, 2021. The goal...
Adherence to prescribed treatment is a critical component for tuberculosis (TB) patients’ prospect...
Today is World Tuberculosis (TB) Day, which is recognized on March 24 each year. The date marks the...
Four years into the project, PredictTB is entering a new phase. In 2021, the project hopes to begin...
Evaluate4mTB, a sub-study of PredictTB, is developing and testing a new machine learning algorithm...
Last week, two years after the UN High Level Meeting (UNHLM) on Tuberculosis, the WHO and partners...
ASSURE: Assessing the potential correlation between altered MTB cells and a patient’s risk for relapse
ASSURE aims to assess if TB patients who are considered clinically cured have completely achieved...
PredictTB is a 66-month project financed by a variety of international funders and implemented by American, African, Asian and European partners, that aims to shorten the treatment times of tuberculosis (TB) in drug-sensitive patients through individualized therapy.
Coordinated by Prof. Clifton Barry from the US National Institutes of Health and Prof. Gerhard Walzl from Stellenbosch University in South Africa, the consortium will perform an ambitious phase 2B clinical trial in South Africa and China and develop a set of criteria to reduce TB treatment times using data from scans, assays and cultures to evaluate inflammation and lung pathology, to test for the sustained presence of bacteria, and to determine which patients are eligible for treatment that is much shorter than the current standard of care.Read more
PredictTB aims to enroll and follow-up 620 patients with drug sensitive pulmonary TB in a clinical trial to validate candidate biomarkers as well as identify and evaluate new, improved criteria that can identify patients who can be cured with shorter treatment.
Sample collection & storage
The consortium will collect and store biological samples (including serum, whole blood RNA, sputum, saliva, and urine) from patients in Africa and Asia for future biomarker research.
Project partners in the Netherlands will develop a point-of-care lateral flow device that helps doctors decide which patients are eligible for shortened treatment.