David Fajgenbaum

speaker

1,017 appearances 2 recordings 2 series first heard Sep 2025 last heard 26 Nov

David Fajgenbaum’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Nov 2025 with 1.

Appearances

newest first · ▶ plays the moment

TED Talks Daily · How do you turn hope into action? A doctor and a public health expert answer | David Fajgenbaum and Celina de Sola · 26 Sep 2025 podcast

And I think that it's sitting with the pain, sitting in our cases with loved ones of patients who didn't make it, patients who are suffering.

It's, you know, understanding like what the stakes are.

And then to your point, celebrating and really leaning on the mentality and the passion.

positive outlook of the cases where you're able to help.

And it sounds like you're going through the same sort of thing.

How do you think about scale?

So obviously you started hyperlocal and you've really grown in scale.

How have you thought about scaling the impact of your work?

Wow.

Well, I see parallels in our work in that it started very, I guess I'd say hyperlocal with me in the sense that I was very sick and found a drug that I repurposed for myself.

And then immediately sort of like you started thinking, okay, if this drug worked for me, are there other drugs that could work for other patients?

And

First, it was just Castleman's patients, and then we started looking at diseases related to Castleman's, other rare diseases.

We've now repurposed 14 drugs for diseases they weren't intended for, and now thousands of patients are alive because of these drugs that weren't made for their disease.

But about three years ago, we decided to really scale things, and that was with the creation of this nonprofit, EveryCure, and it really coincided with the emergence of artificial intelligence.

So, you know, I run a lab at the University of Pennsylvania, and our lab

I'm very proud of our team.

We can study, you know, a couple of drugs for a couple of diseases a year and make a lot of progress.

And we're really proud of that.

But then when you think about what artificial intelligence can do to scan across the world's knowledge of every drug and every disease quickly, it almost instantly.

Showing 881–900 of 1,017 · page 45 of 51