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AI is helping doctors repurpose old drugs for new cures: 'The solution is in your neighborhood pharmacy'

Sophia Brennan
Sophia Brennan
·1 min read·Vancouver, Canada·57 views

Originally reported by Good Good Good · Rewritten for clarity and brevity by Brightcast

AI is Helping Doctors Repurpose Old Drugs for New Cures

When David Fajgenbaum was in medical school, he was diagnosed with an incurable illness called Castleman disease. At 25 years old, doctors told him "there's nothing we can do," and a priest read him his last rites. The disease causes the immune system to attack and shut down vital organs for an unknown reason, with no approved treatments or cure.

"In a last-ditch effort to save me, my doctors gave me a combination of seven chemotherapies that weren't meant for my disease," Fajgenbaum explained in a TED Talk. Miraculously, the chemotherapies worked, and he returned to medical school. But when he later relapsed, he didn't accept another death sentence.

"Maybe there's another drug, made for another disease that could also be repurposed for me," he said. There was. Now 11 years in remission, Fajgenbaum has dedicated his life to repurposing existing drugs to treat conditions deemed untreatable.

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He founded Every Cure, a nonprofit that uses artificial intelligence to find new uses for generic and off-label drugs, democratizing safe and effective treatments, especially for people suffering from untreatable diseases. "The vision for Every Cure is that every FDA-approved drug is used for every disease that it can possibly treat," he told Good Good Good, "not just the one or two that a drug company finds most profitable."

![David Fajgenbaum speaks at TED 2025 in Vancouver, BC.](https://images.ctfassets.net/3nanhbfkr0pc/3Nh8Ks4Ug0EvOqQKQAGKKI/d7d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2d3d4d5d6d7d8d9d0d1d2

Brightcast Impact Score (BIS)

The article showcases the positive work of David Fajgenbaum and his nonprofit Every Cure, which uses AI to repurpose existing drugs to treat previously untreatable diseases. It highlights Fajgenbaum's personal experience with an incurable illness and his determination to find solutions, leading to the development of a successful treatment. The article provides evidence of measurable progress and multi-source verification, indicating a significant positive impact on a regional scale.

Hope30/40

Emotional uplift and inspirational potential

Reach16/30

Audience impact and shareability

Verification22/30

Source credibility and content accuracy

Hopeful
68/100

Solid documented progress

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Wall of Hope

0/20

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Sources: Good Good Good

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