WHO algorithms could double the number of children treated for tuberculosis

TL;DR


Summary:
- Médecins Sans Frontières (MSF) is exploring the use of algorithms to improve the diagnosis and treatment of tuberculosis (TB) in children.
- Algorithms could help identify children at risk of TB and guide healthcare workers in providing the appropriate treatment, potentially doubling the number of children receiving care.
- By leveraging technology and data analysis, MSF aims to overcome the challenges of diagnosing and treating TB in children, which is often more difficult than in adults.

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