Marc Tessier-Lavigne

speaker

407 appearances 1 recordings 1 series first heard Mar 2026 last heard 12 Mar

Marc Tessier-Lavigne’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 Mar 2026 with 1.

Appearances

newest first · ▶ plays the moment

Vanguards of Healthcare by Bloomberg Intelligence · Xaira’s War on Trial-and-Error Drug Development · 12 Mar 2026 podcast

a number of years, I've had a front row seat to some of the best science and the best drug discovery in the industry for several decades.

Now, nothing excites me as much as the potential for AI.

And that's why I just felt so fortunate to be approached about bringing my experience in drug discovery to this company.

I really believe that this promise of AI that we've been discussing, that we, with the right kinds of data, will be able to dramatically improve the success rates for all three steps of drug discovery is real.

I believe it requires us to work

extremely hard and make the right moves to generate the right kinds of data sets and apply them in the right way not just to do proof of concept experiments oh we can make something that looks like an antibody that's great but can you make an antibody that has all the properties of an antibody including as you pointed out low immunogenicity i believe the answer is yes

I think we can break down each of the barriers that's in our way and that we should be able to do it with alacrity.

So I couldn't be more excited myself.

I couldn't be more excited about where the field is going as a whole.

And what we really need to do is to be smart and disciplined and focus where it's going to make the biggest difference for each of those three steps of drug discovery

And the end goal, of course, is to be able to bring better medicines faster to patients in need.

And I think AI is going to enable us to do that.

If we continue the way we're going right now, it will continue to be trial and error.

And as you know, Sam, the cost of making drugs, there's something called Eroom's Law, which is Moore's Law in reverse.

which is instead of cutting the price of semiconductors every two years, it's doubling the price of drugs every two years because of continued inefficiencies and attrition.

I believe we can stop that and we can reverse that and have something closer to a Moore's law for medicines.

And I think AI is going to play

a major role in that.

I should say it won't just be AI, it will be the continued ingenuity of scientists doing, you know, thinking of new approaches as well, new therapeutic modalities and the like, and better ways of doing things across the board.

But I'm very, very persuaded and confident that AI is going to play a central role in turning this important but somewhat broken approach and system that we have into something that's more of a finely tuned machine for delivering medicines for patients.

Showing 381–400 of 407 · page 20 of 21