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In this episode of the BioInventors Podcast, Paeto sits down with Cameron Sabet, a third-year medical student at Georgetown University, epidemiology researcher, and biotech investor. Cameron shares his unconventional journey into research, how he analyzes millions of patient records, and what he’s learned from investing in early-stage biotech companies.
The conversation spans big data in medicine, AI, genetics, bioengineering, and the shifting role of physicians — offering both practical advice for students and high-level insights into where healthcare is headed.
In this episode, we cover:
- Cameron’s path into epidemiology and publishing — how he turned classwork into Lancet publications
- Large-scale medical research using national databases (NIS, NISQIP)
- Redivis & cloud-based data analysis for running studies on millions of patients
- Applying finance and regression modeling to healthcare data
- The role of genetics and bioengineering in the future of medicine
- Long-acting drug delivery systems (half hydrophobic, half hydrophilic pills)
- What it takes to be a biotech venture investor
- “Smelling BS” in startups and common red flags in healthcare companies
- Lessons from Theranos and other biotech failures
- AI in medicine — what might be automated vs. what remains human
- The future of physicians, mid-level providers, and healthcare leadership
- How students can access high-level medical knowledge through podcasts, networks, and research communities
Whether you’re a student, aspiring researcher, or curious about the intersection of medicine, technology, and investing, this episode offers a behind-the-scenes look at how healthcare innovation really happens.
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