iiinova — where your digital self keeps evolving

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Hani Goodarzi @genophoria.bsky.social · 24/03/2025

AIxBio Builders: @vevotherapeutics.bsky.social is joining forces with @hf.co & NVIDIA Healthcare to organize the 1st hackathon to build on Vevo's Tahoe-100M dataset. Join us! We will select 40 participants, provide compute and a $400 travel voucher for 10 travelers. Details in 🧵

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Stephen Floor @snf.bsky.social · 13/01/2025

big news for AI + bio - respect for open sourcing such a rich dataset!

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danapeer.bsky.social @danapeer.bsky.social · 13/01/2025

Open source is music to my ears.

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Hani Goodarzi @genophoria.bsky.social · 13/01/2025

A month ago we @vevotherapeutics.bsky.social announced that we have generated the largest single-cell perturbation atlas in history, Tahoe-100M. Today, we announce that we will fully open-source Tahoe-100M in Feb, as part of a collaboration with NVidia health to train cell state models.

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Hani Goodarzi @genophoria.bsky.social · 11/12/2024

To build disease-relevant models of the cell, we need perturbative data at scale + AI that can efficiently learn from that data. @vevotherapeutics.bsky.social may be the only team that is pushing the boundaries of both. This recognition from DataBricke is a testament to that dbricks.co/3DbIULQ

dbricks.co

Innovators Unveiled: Announcing the Databricks Generative AI Startup Challenge Winners!

Vevo Therapeutics has been selected as the Grand Prize Winner of the Databricks Generative AI Startup Challenge has selected.

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Hamed Najafabadi @hsnajafabadi.bsky.social · 05/12/2024

This is bound to be an amazing resource!

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Bart Deplancke @bartdeplancke.bsky.social · 05/12/2024

A grand milestone in single cell drug screening!

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Tahoe Therapeutics @tahoetherapeutics.bsky.social · 05/12/2024

We 💙 Single-Cell Data. So we built an atlas of it that goes beyond anything available publicly by a wide margin. Proud of our team! And thanks Parse Biosciences and Ultima Genomics for the support.

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Nima Alidoust @therealnima.bsky.social · 05/12/2024

Tahoe-100M: A single-cell transcriptomic atlas larger than all public datasets combined, 50x larger than all drug-perturbed public single-cell data put-together, generated by us @vevotherapeutics.bsky.social Reach out if you want to work together to build on it.

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