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Human–AI Collaboration for Early Outbreak Detection

Human–AI Collaboration for Early Outbreak Detection

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 🎙️ Episode Title Human–AI Collaboration for Early Outbreak Detection --- 🧠 Episode Summary In this episode of The Innovation Forum AI Podcast, Oliver Morgan speaks with Yannis Paschalidis, Distinguished Professor of Engineering and Director of the Hariri Institute for Computing at Boston University, about how artificial intelligence is reshaping public health decision-making. Yannis explains how AI models built on electronic health records can predict health outcomes across diverse domains — from cognitive decline and fertility to hospital care needs during COVID-19. He emphasizes the importance of custom-built algorithms, carefully designed features, and robust data pipelines to ensure models deliver reliable, context-specific insights. The conversation also explores how AI can support early outbreak detection, combining domain-specific language models with human expertise to interpret complex and uncertain signals. Throughout the episode, Yannis stresses the need for human oversight, critical AI literacy, and responsible use of these technologies to strengthen — rather than replace — public health judgment. --- 💬 Guest Yannis Paschalidis Yannis Paschalidis is a Distinguished Professor of Engineering and Director of the Hariri Institute for Computing at Boston University. His research spans artificial intelligence, optimization, computational medicine, and public health, with a focus on building robust, real-world AI systems. He has authored over 300 scientific publications and is internationally recognized for advancing human-centered AI applications in healthcare and epidemic intelligence. --- 🌐 Resources and References - Network-Based Epidemic Control Through Optimal Travel and Quarantine Management: https://ieeexplore.ieee.org/document/11084857 - Automating biomedical literature review for rapid drug discovery: Leveraging GPT-4 to expedite pandemic response: https://www.sciencedirect.com/science/article/abs/pii/S1386505624001631 - A GPT-based EHR modeling system for unsupervised novel disease detection: https://www.sciencedirect.com/science/article/pii/S1532046424001242 - Early prediction of level-of-care requirements in patients with COVID-19: https://elifesciences.org/articles/60519 - BEACON’s website: https://beaconbio.org/en --- 🎵 Music Credits Intro and outro music from Podcastle Stock Audio. Track: ‘Nairobi Nights’. License code: OQX0TTADL0XRPIZ3. --- ⚠️ Disclaimer This podcast is produced by the World Health Organization (WHO) as part of the Pandemic and Epidemic Intelligence Innovation Forum initiative: https://pandemichub.who.int/news-room/innovation-forum. The views expressed by guests are their own and don’t necessarily represent those of WHO or its affiliates. Guest affiliations have been disclosed for transparency purposes. Content is intended solely for information purposes and not as professional medical advice. Listeners are advised to consult qualified professionals for specific questions. All personal data collected for feedback is handled in accordance with WHO standards. --- 📲 Listen and Subscribe The Innovation Forum AI Podcast is available on Youtube, Spotify, Apple Podcasts, and Amazon Music. You can find a written summary of this episode here: https://substack.com/@omorgan? Be sure to follow, rate, and share to help us reach more public health professionals exploring the future of AI.
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