The Innovation Forum AI Podcast copertina

The Innovation Forum AI Podcast

The Innovation Forum AI Podcast

Di: Oliver Morgan
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A proposito di questo titolo

 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. Igiene e vita sana Scienza
Episodi
  • Clinical AI, Equity, and Preparedness in Resource-Limited Health Systems

    Clinical AI, Equity, and Preparedness in Resource-Limited Health Systems
    Jan 21 2026
    🎙️ Episode Title Clinical AI, Equity, and Preparedness in Resource-Limited Health Systems --- 🧠 Episode Summary In this episode of The Innovation Forum AI Podcast, Oliver Morgan speaks with Dr. Zainab Samad, Chair of the Department of Medicine and Director of the Health Data Science Center at Aga Khan University in Pakistan. Zainab shares how artificial intelligence is being applied in real-world clinical settings to uncover hidden inequities in care, improve decision-making, and strengthen health systems in resource-limited contexts. Drawing on examples ranging from natural language processing in cardiology to machine-learning models for hospital mortality and dengue surveillance, she explains how clinical insights can be translated into public-health intelligence through sustained engagement with policymakers. Together, they explore how AI can help low- and middle-income countries leapfrog traditional data barriers, why South-to-South collaboration is critical for context-aware innovation, and how Pakistan’s national AI policy is shaping collaboration between academia and the public sector to support preparedness and equitable health outcomes. --- 💬 Guest Dr. Zainab Samad Dr. Zainab Samad is Chair of the Department of Medicine and Ibn-e-Sina Endowed Professor of Medicine at Aga Khan University (AKU) in Karachi. She is a cardiologist and outcomes researcher whose work bridges clinical medicine, data science, and public health. She leads the Health Data Science Center at AKU and co-directs the NIHR Global Health Center for IMPACT, focusing on gender-inclusive capacity building, AI-driven clinical innovation, and public-health intelligence in low- and middle-income countries. Dr. Samad also serves on Pakistan’s National AI Policy Committee and is a strong advocate for equitable, locally grounded applications of artificial intelligence in health. --- 🌐 Resources and References - Aga Khan University – Health Data Science Center: https://www.aku.edu/mcpk/data-science/Pages/home.aspx - NIHR Global Health Centre for Impact: https://www.impactsouthasia.com/ - Contact information: [samad.zainab@aku.edu](mailto:samad.zainab@aku.edu); data.science@aku.edu - Pakistan’s National AI Policy: https://moitt.gov.pk/ --- 🎵 Music Credits Intro and outro music from Podcastle Stock Audio. Track: ‘Nairobi Nights’. License code: TZMW98HEQBZ9HSIP. --- ⚠️ 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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    33 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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