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3. Artificial intelligence and innovation to optimize the tuberculosis diagnostic process

10. Supplementary_Material_23Nov2019 – Supplemental material for Implementing a socio-technical system for computer-aided tuberculosis diagnosis in Peru: A field trial among health professionals in resource-constraint settings

12. Improving Tuberculosis Diagnostics Using Deep Learning and Mobile Health Technologies among Resource-Poor and Marginalized Communities

17. Perceptions of working and living conditions among industrial male and female workers in Perú.

18. The community as an active part in the implementation of interventions for the prevention and care of tuberculosis: A scoping review.

19. Lessons Learned from the Protección en Construcción Community Research Partnership.

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