Pakistan-US Science and Technology Cooperation Program
Phase 7 (2017 Deadline)
Computational modeling of active tuberculosis using clinical, immunological, and radiological data
US Partner: Michael Hogarth, University of California, Davis
Pakistan Partner: Aamer Ikram, University of Health Sciences
This project will develop predictive models for tuberculosis (Tb) detection to improve Tb healthcare capacity and infrastructure in Pakistan. It will also provide research training to female Pakistani graduate students.
2018: In tuberculosis (TB) patients, detection of multiple blood markers and images of lung (X-ray and CT scans) provide an opportunity to study the disease and develop new diagnostic methods. To detect multiple blood markers simultaneously, new multiplex methods have been developed at the University of California (UC). In this collaborative project between the Armed Forces Institute of Pathology (AFIP), Pakistan, and UC, multiplex detection materials have been produced at UC and TB patient blood samples and clinical patient information have been collected at AFIP. Analysis of blood samples by the use of multiplex methodology will be carried out by both sides as the multiplex materials will be shipped to Pakistan while blood samples will be shipped to California. Additional samples from non-TB respiratory diseases (e.g., bronchitis, COPD etc.) as a disease control group are under collection. Also under collection are samples from extra-pulmonary and pediatric TB patients by AFIP. For the computer-assisted image analysis of radiological images (X-rays and CT scans), Dr. Fareed Zaffar’s group at Lahore University for Management Sciences (LUMS), Lahore, has developed computational methods. These methods are being tested for automated analysis of radiological images. Further computational method development for the integration of blood markers, and radiological imaging to improve disease understanding and help develop better diagnostics will continue to be carried out over the next two years in this project.