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The biggest bottleneck in saving lives isn't a lack of scientific theory; it's the sheer friction of the biological and regulatory process.
Health and AI. We are seeing this play out in two parallel stories today. First, Anthropic is testing Operon to automate the massive coding workloads biologists face before a drug even reaches human trials. Second, the founder of GitLab, facing a rare cancer, had to essentially become the CEO of his own survival because standard care hit a wall.
These two points illustrate exactly why we are building @Certumaai and why the intersection of AI and medicine is the most critical frontier of our time.
In software, if you have a breakthrough idea, you deploy it. In healthcare, a breakthrough therapy spends 5 to 10 years trapped in preclinical data processing, regulatory purgatory, and administrative bloat. The cost? Hundreds of billions of dollars in lost productivity and millions of lives lost while waiting.
AI is finally attacking this friction. Not just by discovering new molecules, but by automating the grueling, repetitive data work that keeps cures locked in the lab. When you apply LLMs and specialized medical AI to the operational side of healthcare, you don't just cut costs: you buy time.
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