07/31/2019
The systems demonstration of TB Data Exploration Portal (DEPOT) has been selected to include as a part of AMIA's Maintenance of Certification (MOC) for this year's meeting. The tool will be presented on November 19, 2019, during AMIA 2019.
06/13/2019
The TB Portals Data Exploration Portal (DEPOT) has been selected for a systems demonstration at the AMIA 2019 Annual Symposium.
05/26/2019
“TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource” has been accepted for publication by PLoS ONE. Click here for the published manuscript.
11/20/2018
Christopher Sauer and colleagues from Massachusetts Institute of Technology and Harvard Medical School developed a model to predict TB treatment failure using deep learning on TB Portals data. They report their findings in the latest issue of PLoS One.
11/20/2018
TB Portals Consortium member Yixiang Wang gave the oral presentation “Differential cavity lesion characteristics of drug sensitive and multi-drug resistant pulmonary tuberculosis” at the 2018 Chinese Congress of Radiology in Beijing, November 7-11, 2018.
11/01/2018
Two papers have recently been published by TB Portals Consortium members and partners: "Radiological signs associated with pulmonary multi-drug resistant tuberculosis: an analysis of published evidences" by Yixiang Wang and "Detecting drug-resistant tuberculosis in chest radiographs" by Stefan Jaegar.
08/06/2018
The TB Portals Program has submitted an abstract to SXSW 2019 Health & MedTech track on using data and analytics to combat #MDRTB. Public voting on your favorite abstracts is open through the end of the month. Check it out.
06/04/2018
The TB Portals Program was featured in NIH Strategic Plan for Data Science.
05/16/2018
NIAID Funding News featured the TB Portals in their regular bulletin.
05/16/2018
The National Action Plan for Combating Multidrug-Resistant Tuberculosis Year Two Report highlighted the TB Portals as an example of new tools and approaches for detection of drug-resistant TB that are being supported and developed by US government.
