“Tuberculosis kills five thousand people every day. The social and economic impacts are devastating, including poverty, stigma and discrimination."

DR TEDROS GHEBREYESUS

WHO DIRECTOR-GENERAL



BacilAI improves the current process of TB monitoring in low-resource areas, using a smartphone-based machine learning app that interfaces with a standard microscope

 

TOP 20 COUNTRIES FOR TB INCIDENCE

Angola 

Bangladesh 

Brazil 

China 

DPRK 

DR Congo 

Ethiopia 

India 

Indonesia 

Kenya 

Mozambique 

Myanmar 

Nigeria 

Pakistan 

Philippines 

Russian Federation 

South Africa 

Thailand 

UR Tanzania 

Vietnam 

Laboratory setup

 

How did we do it

The project was conducted as part of my industrial placement at Cambridge Consultants Ltd. The team comprised of 5 fellow interns. I was leading the Hardware and Optics workstreams and had input into the Machine Learning

Screenshot 2021-07-14 at 16.37.39.png

It worked.

All in all we achieved satisfactory results with increased speed of screening, but even more importantly - more consistent screening accuracy. By incorporating tech and human in the loop and interplay of their vice and virtues a better, faster and more consistent workflow was created. To read more about the project, click the button below leading to Cambridge Consultants website. Alternatively, check out the NVIDIA article listed below!

Team effort

is what it takes to achieve great things. Straight from the heart to my team members - thank you. I hope for the future to allow me to work on such multidisciplinary and challenging projects sagain.

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Brain Machine Interface