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Cancer, Longevity, and Decision-Making in the AI Era

Cancer, Longevity, and Decision-Making in the AI Era

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Episode 01 — Cancer, Data, and the Limits of Longevity


In this first episode of Stay Awake with Avinasi, we sit down with Yosean Wang — Research Assistant Professor at City University of Hong Kong, core member at Avinasi Labs, and co-founder of CancerDAO.


We talk about cancer not just as a disease, but as a longevity problem.


Why does cancer generate so much clinical and real-world data, yet so little of it meaningfully improves decisions?

Where does today’s oncology practice fail to account for aging biology?

And why is the hardest step for AI in medicine not getting to 80% accuracy — but earning real clinical trust?


This conversation explores patient-centered decision records, the limits of current AI systems, and the uncomfortable questions around aggressive treatment, biological limits, and what “better outcomes” actually mean.


This episode sets the tone for the series: honest questions, real data, and no shortcuts.


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