Calico

Calico is a research and development company tackling one of life's greatest mysteries, the biology that controls human aging.

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Read the preprint: https://t.co/ejKwuqM8dy (9/9)

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A new method for tracking protein-protein interactions in real time in living cells could open unexplored possibilities for understanding how cellular processes change with age. (1/9)

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Additional contributors include Alfred Millett-Sikking, Magdalena Preciado Lopez, Aaron Nile, Prashant Rao, Zena Jensvold, and Hannah Baddock. Lachlan Whitehead created this animation of TTM in action. (8/9)

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Learn more about our story: https://t.co/r4u3BWU0eX

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From the beginning, we took on a challenge that still defines our work today: how to better understand the biology of aging and its role in disease.

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Today, that foundation supports our progress from discovery into clinical- and early-stage programs across multiple age-related diseases.

We continue to build on our original vision, working to translate insights into potential therapies that may improve healthspan.

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@PKDFoundation Calico's ADPKD program is investigational. No treatment based on this research has been approved by the FDA or other governmental agency and its safety and effectiveness have not been established. (5/5)

#ADPKD

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We recently joined the @PKDFoundation community at PKDCon, which brought together people living with ADPKD, their caregivers, and family members; and the PKD Centers of Excellence, a conference for nephrologists and investigators focused on advancing standards of care. (1/5)

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@PKDFoundation Learn more about how we’re advancing clinical research in ADPKD and our ongoing global Phase 2 trial: https://t.co/j3KZb67r9l (4/5)

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Learn more in the Calico Story: https://t.co/yKRohkJ18n

(5/5)

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Genomic deep learning models have significant potential to advance how scientists study DNA and RNA, but computing demands have kept many of these tools out of reach for researchers who could benefit from them. (1/5)

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As David explains, “For anyone who wants to apply these models to their own data, everything is there. The goal is not just to build better models, but to make them usable so more scientists can ask better questions of their data.” (4/5)