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Mr. Informer Briefing: Michael Polansky is training an AI model on skin that’s still alive
AI & Future • 2 min read • August 22, 2026 - 03:32

Mr. Informer Briefing: Michael Polansky is training an AI model on skin that’s still alive

🤖 AI-assisted summary of third-party reporting — see our AI use policy

Michael Polansky — better known publicly as Lady Gaga's partner and a former top deputy to Sean Parker — has quietly spent years building an AI-driven startup that keeps living human skin tissue alive for weeks outside the body to discover new skincare compounds, and is only now going public about it.

What this covers

This is a Mr. Informer briefing on Michael Polansky is training an AI model on skin that’s still alive — a detailed, automation-assisted summary of reporting from TechCrunch. Below you'll find the original reporting summarized in our own words, followed by editorial context on why this matters, technical background, and key takeaways. For full quotes, sourcing, and original detail, read the complete report at the source linked at the bottom of this article.

Why this matters

The intersection of artificial intelligence and biotechnology represents a growing frontier where tech entrepreneurs apply computational power to biological research. By moving away from traditional methods toward systems that maintain living tissue outside the body, this development reflects a broader industry trend of leveraging advanced automation to accelerate discovery in health and wellness. Readers should take away that tech-backed ventures are increasingly targeting complex biological challenges to find novel consumer and medical compounds.

Technical context

The startup developed by Michael Polansky utilizes an artificial intelligence-driven approach focused on keeping living human skin tissue alive for weeks outside the body. This maintained biological medium is then used to test and discover new skincare compounds. While specific computational models and laboratory protocols are not detailed in the available report, the core mechanism bridges tissue preservation techniques with data-driven compound discovery.

Key takeaways

Read the full original report at TechCrunch →

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