Show notes
Join us on Decoded: The Future of Health for a thought-provoking discussion exploring one of the biggest challenges facing the future of biological AI: how can we build intelligent systems for healthcare when the data they learn from represents only a small fraction of global human diversity?
Recorded at CIC Cambridge, this conversation brings together leaders from biopharma, AI, and health data to examine why representative biology has become one of the defining scientific and ethical challenges of our time, and what it will take to build more inclusive foundation models for biomedical discovery.
Featuring
Dr. Carl Glittenberg, Boehringer Ingelheim
Dr. Jan Kirsten, Partex AI
Dr. Vinod Gauba, GeneVault Lifesciences
Key Discussion Topics
The conversation explores how decades of underrepresentation in genomic and biomedical datasets are shaping the capabilities and limitations of today's biological AI models.
The discussion examines why diversity in health data is not simply an equity issue, but a scientific requirement for accurate prediction, drug discovery, and precision medicine.
The panel also explores the role of foundation models, federated collaboration, and trusted data ecosystems in enabling the next generation of biomedical intelligence. Rather than viewing data as isolated institutional assets, the conversation considers how collaborative global infrastructures can accelerate discovery while respecting governance, privacy, and local stewardship.
The discussion concludes with GeneVault Lifesciences' vision for the Global BioIntelligence™ Foundation Model Initiative, an initiative designed to enable more globally representative biological AI through collaboration across regions, institutions, and communities.
Key Takeaways
- Biological AI is only as representative as the data it is built upon.
- Bias in biomedical datasets can limit scientific discovery and clinical translation.
- Foundation models require globally representative biology to reach their full potential.
- Collaboration across organisations and geographies is essential to overcoming data silos.
- Building trusted, inclusive health data ecosystems is fundamental to the future of precision medicine.
About Decoded
Decoded: The Future of Health is a global conversation series exploring the ideas, technologies, and collaborations shaping the future of genomics, artificial intelligence, and precision medicine through conversations with leaders across science, healthcare, and industry.
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