Daisy Ding

ai, aging, precision medicine | phd @stanford, postdoc @wysscoray, chief of staff to vinod @khoslaventures | views are my own

[Daisy Ding @daisyding_]

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

[Gabriele Corso @GabriCorso]

Big news from Boltz - our biggest update yet! 🚀
Today we’re releasing two new state-of-the-art models for protein and small molecule design with extensive wet lab validation and a new API to run all of our models on scalable GPUs wherever you (or your agents) work! 🔥

[Daisy Ding @daisyding_]

@GabriCorso Amazing update, Gabriele!

[Daisy Ding @daisyding_]

@avichal @NatureMedicine Thank you, Avichal!

[Daisy Ding @daisyding_]

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

[Sid Sijbrandij @sytses]

Daisy did an amazing job quantifying aging. There is a lot of noise out there, but this is the straight science that shows how aging unfolds. Our organs can age at different speeds. Turns out you can measure it with the proteins found in blood plasma. Great stuff!

[Daisy Ding @daisyding_]

@Ronalfa @V_Augustina14 @wysscoray @hammy_oh @sophmshi @EricTopol @KejunYing @NannanLu3 Thank you @Ronalfa!

[Daisy Ding @daisyding_]

More aged cell types → worse survival.

Mortality rose in a clear dose-response pattern with cumulative cellular aging burden. 5/9

[Daisy Ding @daisyding_]

@sytses Thank you so much, Sid! Exciting to see how much insight into aging we can now read from blood proteins 🩸🧪

[Daisy Ding @daisyding_]

@QuanquanGu Would be cool to design anti-aging drugs with your platform!

[Daisy Ding @daisyding_]

@WilliamWallace Thank you for highlighting our work! Here's a simple breakdown of our study: https://t.co/qD7HRSUJK0

[Daisy Ding @daisyding_]

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

[Daisy Ding @daisyding_]

@AriyoshiMd Thank you for covering our work! Here's a simple breakdown of our study: https://t.co/qD7HRSUJK0

[Daisy Ding @daisyding_]

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

[Eric Topol @EricTopol]

This is one of the most important papers advancing the science of aging. Now at the cell level. Another outgrowth of the era of high-throughput proteomics.

[Daisy Ding @daisyding_]

@EricTopol Thank you @EricTopol for highlighting our work! Here's a simple breakdown of our study: https://t.co/qD7HRSUJK0

[Daisy Ding @daisyding_]

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

[Daisy Ding @daisyding_]

Huge thanks to my co-first authors @V_Augustina14 and Kenneth Chen, our advisor @wysscoray, our collaborators, and the study participants who made the discovery possible. Shoutout to @hammy_oh @sophmshi @EricTopol @KejunYing @NannanLu3 for the inspiration along the way.

[Daisy Ding @daisyding_]

Full study: https://t.co/lPwGChDKhR

[Daisy Ding @daisyding_]

We leveraged the plasma proteome: 7k+ proteins measured in 60k+ individuals across three independent cohorts. We built cell-type aging clocks and found that accelerated / youthful cellular aging predicts mortality, future disease, and resilience. 4/9

[Daisy Ding @daisyding_]

Aging is not a single clock ticking uniformly across the body. It unfolds across biological scales: cells → organs → individuals. Lifespan reflects the integration of aging rates across these levels. Cells shape organ function and disease vulnerability. So we asked: can we measure aging at cellular resolution in humans? 3/9

[Daisy Ding @daisyding_]

Aging is a central driver of many diseases, from neurodegeneration to cancer. But not everyone ages along the same trajectory. Why do some people remain resilient while others become vulnerable? 2/9