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I said the 2020s will bring about a revolution in electronic medicine. Novocure Tumor Treating Fields uses alternating electric fields specifically tuned to target cancer cells. Spectacular technology that will only improve with new AI. This is an "Apple moment" in medicine.

(1/3)I am happy that scArches is finally out, this is how we think about the future of single-cell genomics, instead of analyzing every new data from scratch, harness the power of multi-omic reference atlases using transfer learning to transfer knowledge!

More exciting news on this: our work has made the cover of Nature Biotechnology. AI helps democratize to analyze single-cell data! It basically works like a google map navigator to navigate you through the map of cells to analyze your data!

We’re thrilled to finally share the integrated Human Lung Cell Atlas (HLCA), a single-cell reference atlas of 444 individuals, and 2.2M cells! biorxiv.org/content/10.110… Human Cell Atlas Here’s a tweetorial on how we built it, and, most importantly, how you can use it: (1/20)

بیشتر از یک ساعته که جمعیت زیادی جلوی سلف ایستاده و محکم گفته می‌شه « فکر نکنین یه روزه، قرار ما هر روزه». زیباست. #دانشگاه_شریف

Can your self-driving car do this? x.com/thefigen_/stat…

لینک زیر رو کمک کنید کامل بشه، دانشگاه‌هایی که مدرک رسمی رو ازتون نمی‌خوان. با توجه به افزایش ناگهانی هزینه آزادسازی مدرک، کمک بزرگی می‌تونه باشه: docs.google.com/spreadsheets/d…

عرفان زارعی دانشجویی که در مقابل آذری جهرمی سخنگوی دولت ایستاده بود و شجاعانه حرف میزد، روز ۱۶ آذر در مقابل دانشگاه توسط نیروهای امنیتی جمهوری اسلامی ربوده شد.

Tired of forgetting terminal commands every 10 seconds? ⚡pip install terminal-copilot⚡ GPT-3.5 powered terminal commands - probably the biggest productivity hack you can install today :)

#جادی پس از آزادی، مثل همیشه با صورت خندان! امیرعماد میرمیرانی با قید وثیقه از زندان آزاد شد. ۲۲ آذر #مهسا_امینی

یک نفر نوشته بود اینترنت مگه وصله که برای کنکور میخوایید قطع‌اش کنید؟ #فیلترنت

Super excited to share the results of our highly collaborative project co-led by Mohsen Naghipourfar, Ali Saberi, Delaram Pouyabahar, Amirhossein Zarezadeh and supervised by my incredible mentor Hani Goodarzi.

1/9 CPAis finally published. It can predict single-cell responses to combinatorial perturbation (drugs, CRISPR). This is a joint collab between @meta and Fabian Theis Helmholtz Munich | @HelmholtzMunich. Read the thread to understand the LEGO analogy! embopress.org/doi/full/10.15…

So excited to see our compositional perturbation autoencoder (CPA) paper out Mol Syst Biol! This generative DL model leverages single cell perturbation (drug, CRISPR etc) studies to predict cellular response. Great collab w AI at Meta! github.com/theislab/cpa embopress.org/doi/full/10.15…

Our paper is out!!! cell.com/cell-genomics/… Congrats to all the authors and thank you Hani Goodarzi for the opportunity! Here is a short summary:

Check out our latest research by Mohsen Naghipourfar and others in our team on building language models of coding sequence. In this preprint, we introduce cdsFM, a suite of codon-resolution language models!👇 biorxiv.org/content/10.110…

We are excited to introduce LoRNA-SH, a frontier RNA foundation model that leverages long-read transcriptomics and long-context inputs to learn and predict the transcriptome architecture with base-pair resolution: biorxiv.org/content/10.110…

[1/7] Introducing Evo 2, a new foundation model for biology. 🚀 Evo 2 is the largest-scale, fully open-source AI model ever released: 40 billion parameters, over 9 trillion tokens, and a 1 million context length. All the details are public: weights, data, training infrastructure,

Introducing Evo 2 from Arc Institute - an AI that can model and design the genetic code for all domains of life. It’s one of the largest-scale truly open source AI models for biology (and in fact more generally - most “open source” large language models are only “open weights”)

AI provides a universal framework that leverages data and compute at scale to uncover higher-order patterns Today, Arc Institute in collaboration with NVIDIA releases Evo 2—a fully open source biological foundation model trained on genomes spanning the entire tree of life 🧵