🌍 Revolutionizing Tuberculosis Diagnosis with Artificial Intelligence

🎤 Speaker Spotlight | Join Dr. Rongpin Wang at G-PHEC 2026

The Global Public Health and Epidemiology Congress (G-PHEC 2026) is honored to welcome Dr. Rongpin Wang as a distinguished speaker, presenting innovative research that demonstrates how artificial intelligence can transform tuberculosis diagnosis and support the global fight against drug-resistant TB.

Presentation Title

A Deep Learning Approach to Identify Active and Drug-Resistant Tuberculosis

Tuberculosis (TB) remains one of the world's deadliest infectious diseases, with drug-resistant strains posing an increasing threat to global health. Early and accurate detection is essential for timely treatment, reducing transmission, and improving patient outcomes.

In this compelling presentation, Dr. Rongpin Wang will introduce a cutting-edge deep learning approach designed to identify both active tuberculosis and drug-resistant tuberculosis. By integrating advanced artificial intelligence with modern diagnostic methods, this research offers a promising pathway toward faster, more accurate, and scalable TB detection.

The study highlights the growing role of machine learning in public health, showcasing how AI-driven solutions can strengthen disease surveillance, improve clinical decision-making, and support precision medicine in infectious disease management.

Why Attend This Session?

Join this session to explore:

·         The latest applications of deep learning in tuberculosis diagnosis

·         AI-powered strategies for detecting drug-resistant TB

·         Advances in precision medicine and infectious disease surveillance

·         Innovative technologies supporting global tuberculosis control

·         Future directions for artificial intelligence in public health

This presentation is ideal for public health professionals, infectious disease specialists, epidemiologists, clinicians, researchers, AI experts, policymakers, and students interested in digital health innovation.

📅 September 21–23, 2026
📍 London, United Kingdom & Online

Don't miss this opportunity to discover how artificial intelligence is reshaping the future of tuberculosis diagnosis and advancing global public health.

🔗 Speaker Profile: https://globalpublichealthcongress.com/speaker/rongpin-wang

🔗 Scientific Program: https://globalpublichealthcongress.com/program/scientific-program/2026/a-deep-learning-approach-to-identify-active-and-drug-resistant-tuberculosis

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