TB-AI
Project Overview
Year
About
TB-AI is a cloud-based platform that uses artificial intelligence to analyse microscope slide images for tuberculosis and malaria diagnosis. With only a smartphone camera and internet access, laboratories can upload images and receive results within minutes. By automating smear microscopy, the most widely used test in low-resource settings, TB-AI improves accuracy, reduces human error, and accelerates diagnosis. This scalable solution strengthens lab capacity in underserved regions, enabling earlier treatment and helping to curb infectious disease transmission
Team
Hira Fareed
Lahore University of Management Sciences (LUMS)
Dr. Hira Fareed is a dedicated clinician specializing in Anesthesia and Pain Management, with a strong academic background including an MS in Healthcare Management & Policy. As a research scholar in Epidemiology and Health Informatics, she has focused her work on leveraging data and technology to address pressing health challenges. She currently serves as a Public Health Officer, contributing to national programs for TB, HIV, Dengue, and Malaria control. Alongside her professional roles, she shares her expertise as Visiting Faculty for MBA Healthcare Management, nurturing future healthcare leaders with a blend of clinical, managerial, and public health insights.