AIDO is a system of models for working with genomic, protein, single-cell, and tissue-scale data. Learn more about our models ↓

@genbioai Fantastic to see this on Hugging Face—a great resource for learners! As a student keen to build a project with this, is there a key paper or tutorial you'd suggest for getting started, beyond what's in the model card? #AI #Bioinformatics

@genbioai Are you using what kind of approach in AIDO to predict the bio systems? I meant, CNNs?

@genbioai interesting, creating a living organism driven by AI would be a new frontier

@genbioai Good performance 👍🏻

@genbioai Perfect

@genbioai Does it work for alopecia Areata disease predictions ?

@genbioai @GiveRep to @ikadotxyz

@genbioai Good night

@genbioai what is Perturbation Modelling @AskPerplexity

@genbioai Is it opensourced?

@genbioai @grok jelaskan ini dalam bahasa indonesia dan jelaskan hubungannya dengam ilmu nutrisi pakan

@genbioai can you suggest a good colab notebook related to this post @AskPerplexity

@genbioai Nice x.com/Remmy_100/stat…

@genbioai Закрыт

@genbioai Very cheap

@genbioai Excited to see how these models advance research across multiple biological scales—from genomics to tissue analysis. Looking forward to learning more!

@genbioai Interested

@genbioai 在哪里可以买到你们的代币

@genbioai ..... latent constructibility and cross-modal causal imaginaries.

@genbioai ....and through epistemic states that could exist even if no data currently encodes them Prediction is not enough. We need architectures that generate unrealized biological logic.

@genbioai These architectures are built for convergence toward precedent, not for projective inference beyond the dataset.But living systems aren't fully captured by past regularities They evolve through configurations that haven’t yet materialized and ....

@genbioai .... what could have emerged under alternate biological conditions. They learn patterns. They don't formulate possibility spaces.

@genbioai Current foundational models in biology operate within closed correlation spaces optimized to replicate already observed structures across DNA,RNA, proteins and cells They're highly effective at inferring what has been, but structurally unable to generate ...

@genbioai 👍👍👍

@genbioai 👍👍👍

@genbioai 👍👍👍

@genbioai @grok 这个项目有币或者股票代码吗

@genbioai Biology is no longer just science it's becoming executable code. 🧬🤖 AIDO isn’t just a model, it’s a key to life’s source code. Next up: we don’t just read the genome… we program it. 🔓🚀

@genbioai The next leap in biological AI won't come from deeper scaling It will come from systems able to invent form not just learn it This shift requires architectures that think outside the statistical closure capable of exploring emergent orders latent ...