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The Innovation Forum AI Podcast

The Innovation Forum AI Podcast

Auteur(s): Oliver Morgan
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À propos de cet audio

 The Innovation Forum AI Podcast explores how artificial intelligence is transforming public health — from early detection of outbreaks to effective health communication and smarter response strategies. Grounded in real-world practice, we highlight opportunities and challenges that matter for global preparedness. A podcast for public health professionals — from policymakers to technical specialists — who want to explore how AI tools can be applied to real-world public health challenges. Oliver Morgan is a Global Health Executive with over 25 years of experience in pandemic preparedness and response and strategic innovation. He has experience across a range of high-stakes global public health situations at country, regional, and global levels with the World Health Organization and the US Centers for Disease Control and Prevention. Oliver has led work on pandemic preparedness, global health leadership, and innovation for surveillance systems, analytics, and public health decision-making. As an executive coach, he supports senior leaders in navigating complex environments and developing leadership for impact. Hygiène et mode de vie sain Science
Épisodes
  • Human–AI Collaboration for Early Outbreak Detection

    Human–AI Collaboration for Early Outbreak Detection
    Dec 21 2025
    🎙️ 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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    49 min
  • Making Sense of AI and the Opportunities for Public Health

    Making Sense of AI and the Opportunities for Public Health
    Oct 24 2025
    🎙️ Episode Title Making Sense of AI and the Opportunities for Public Health --- 🧠 Episode Summary In this episode of The Innovation Forum AI Podcast, Oliver Morgan speaks with Dr. Kene David Nwosu, Epidemiologist and Data Scientist at the University of Geneva’s Institute for Global Health and co-founder of The Graph Courses, a non-profit initiative teaching AI and data science for health professionals. Together, they unpack how artificial intelligence is transforming public health — from predicting disease risk to summarizing clinical notes — and what skills practitioners need to engage with these technologies responsibly. The conversation explores data quality, ethics, and privacy challenges, while offering a hopeful vision of how AI can enhance, rather than replace, the vital role of humans in improving global health outcomes. --- 💬 Guest Dr. Kene David Nwosu Kene David Nwosu is an epidemiologist and data scientist at the University of Geneva’s Institute of Global Health. His work spans HIV cohort analyses in Nigeria and public-facing analytics for COVID-19 and influenza in Switzerland. He is also co-founder of The Graph Courses, a nonprofit education platform providing accessible training in data science and AI for the health and life sciences, where he leads an international team creating open learning resources for over 5,000 learners. --- 🌐 Resources and References - The GRAPH Courses: https://thegraphcourses.org/ - CDC AI use case inventory: https://www.hhs.gov/programs/topic-sites/ai/use-cases/index.html - WHO Guidance on AI use: https://www.who.int/publications/i/item/9789240084759 - Machine learning for HIV status prediction: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264429 --- 🎵 Music Credits Intro and outro music from **Podcastle Stock Audio.** Track: ‘Nairobi Nights’. --- ⚠️ 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 Apple Podcasts, Youtube, 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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    44 min
  • Public Health through the Lens of AI and Population Dynamics

    Public Health through the Lens of AI and Population Dynamics
    Nov 8 2025
    🎙️ Episode Title Public Health through the Lens of AI and Population Dynamics --- 🧠 Episode Summary In this episode of *The Innovation Forum AI Podcast*, Oliver Morgan speaks with Gautam Prasad, Software Engineer at Google Research, whose work focuses on geospatial machine learning and the Population Dynamics Foundation Model — a new AI framework designed to fill data gaps and improve population-level health insights. Together, they explore how geospatial AI is transforming the way we understand and predict health risks — from mapping asthma and diabetes prevalence to forecasting dengue and cholera outbreaks. The conversation unpacks the science behind foundation models, explains how they can enhance epidemic intelligence systems, and reflects on what this means for global health equity, accessibility, and collaboration. --- 💬 Guest Dr. Gautam Prasad Gautam Prasad is a Software Engineer at Google Research, where he works on geospatial machine learning and foundation models such as the *Population Dynamics Foundation Model*. His research focuses on applying AI to understand population dynamics and support public health, socioeconomic, and environmental decision-making. Before joining Google, he worked on computer vision and brain connectivity modeling in health and disease using MRI and machine learning. --- 🌐 Resources and References - Earth AI: https://ai.google/earth-ai/ - Contact the PDFM team at pdfm-embeddings@google.com - Insights into population dynamics: A foundation model for geospatial inference: https://research.google/blog/insights-into-population-dynamics-a-foundation-model-for-geospatial-inference/ - Population Dynamics - GitHub: https://github.com/google-research/population-dynamics --- 🎵 Music Credits Intro and outro music from Podcastle Stock Audio. Track: ‘Nairobi Nights’. --- ⚠️ Disclaimer This podcast is produced by the World Health Organization (WHO) as part of the Pandemic and Epidemic Intelligence Innovation Forum initiative. 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, 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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    39 min
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