AI for Epidemic Preparedness

.- Foundations and Cross-Cutting Themes.
.- Introduction: Rethinking Epidemic Response in a Digital Age.
.- Artificial Intelligence: An Introduction.
.- Contextualizing AI for Epidemic Preparedness in the Global South: Challenges, Opportunities, and Foundational Principles .
.- AI-based epidemic and pandemic early warning systems: A systematic scoping review.
.- AI for Early Detection, Surveillance, and Prediction.
.- AI-Powered Surveillance of Waterborne Pathogens: The INTERACT Project.
.- Community-Based Early Detection of Zoonotic Diseases: The AI4DECLIC-Senegal Initiative.
.- Leveraging AI for Enhanced Epidemiological Surveillance in the Global South.
.- Machine Learning Approaches to Epidemic Forecasting in Resource-Limited Settings.
.- Strengthening Lebanon’s Pandemic Surveillance through AI-Driven Automation.
.- Intelligent Early Warning and Response System in Indonesia.
.- Polio Antenna: Enhancing Surveillance Sensitivity in Ethiopia.
.- Applications of AI for Early Diagnosis of Tuberculosis in Morocco.
.- AI and Eco-Epidemiology-Based Early Warning Systems for Aedes-Borne Viruses in the Dominican Republic.
.- CNRS Early Warning Systems Platforms for Disaster Risk Management.
.- AI Applications for Public Health Innovation.
.- Harnessing AI for Cleaner Air: South Africa’s Partnership with Evotel.
.- Blockchain-Enabled AI Architecture for Trustworthy Digital Health in Malaysia.
.- AI and the One Health Approach in Cameroon: Tackling Re-emerging Diseases.
.- Use of Artificial Intelligence to Improve Health Outcomes among Vulnerable Populations: Case Studies and Key Considerations.
.- Telehealth Data for Vulnerable Indigenous Communities: Ethical Considerations.
.- AI-Driven Biomedical Innovations for Early Disease Detection.
.- Designing Mechatronic Systems for AI-Enhanced Health Monitoring.
.- AI Governance, Ethics, and Equity.
.- Democratizing AI for Pandemic Preparedness: Insights from Latin America and the Caribbean.
.- AI and Disability Resilience in Pandemic Preparedness: The Ghana Experience.
.- Towards Responsible AI Governance in the Global South.
.- Global South Collaboration: Building a Community of Practice.
.- Lessons Learned and Future Outlook: AI for People, Not Just Pandemics.