174: How Do We Fix the Bias in Biomedical AI Podcast with Victor CEO and Founder of Omica.Ai

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Why are billions of people still invisible in genomic research—and what does that mean for the future of precision medicine?

In this episode, I sit down with Victor Angel Mosti, founder and CEO of Omica.Ai, for one of the most insightful conversations I’ve recorded about data equity and building ethical, community-centered AI.

Victor shares not only his personal cancer story but also the staggering truth: Hispanic and Latino populations make up less than 1% of genomic datasets. This underrepresentation isn’t just a data gap—it’s a clinical risk.

We dive into disparities between healthcare systems, the promise of digital pathology as a low-cost entry point, the dangers of “parachute science,” and how Victor is building a living, ethical, transparent biobank through Omica. AI—built for true precision medicine rooted in community trust.

Highlights with Timestamps

• [00:00–01:40] Personal cancer experiences and diagnostic uncertainty
• [01:40–06:50] Victor’s medical journey across Mexico and the U.S.
• [06:50–11:42] The digitization gap: empathy vs. tech
• [11:42–16:43] The “coffee diversity” metaphor for genomic diversity
• [16:43–19:34] Funding disparities & the biotech cold-start problem
• [19:34–25:44] Digital pathology as a gateway to precision medicine
• [25:44–31:44] Avoiding “parachute science” and building community-first research
• [31:44–36:05] The Nagoya Protocol and benefit-sharing
• [36:05–41:47] Omica.Ai’s work, goals, and clinical-embedded approach
• [41:47–49:36] Creating future-proof, embedded biobanks
• [49:36–53:35] Blockchain for transparency and patient trust
• [53:35–54:39] Victor’s call to action: collaborate, include, and stay human
  
  

Resources from This Episode

• Omica.Ai – Community-driven precision medicine platform
• Nagoya Protocol – Framework for equitable biological use
  
  

Key Insights

• Cancer is personal—even for experts
• <1% representation of Latino genomes threatens clinical accuracy
• Digital pathology + AI can leapfrog infrastructure gaps
• Ethical biobanking requires trust, transparency, and local benefit
• Avoiding “parachute science” is essential
• Genetic diversity drives discovery—but only if we capture it
• Blockchain + dynamic consent = future of patient-centered data
  
  

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