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WATAA 🌊 | CHUDAI 😵‍💫🫶🏾💕 🎥: FINE SHIT UNIVERSITY 🔬🧬💕 #Taboo

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🚀 We're thrilled to introduce Orthrus 🧬🐕—a groundbreaking mature RNA foundation model designed to push the boundaries of RNA property prediction! 🔬 What is Orthrus? Orthrus is a Mamba-based RNA foundation model, pre-trained using a novel self-supervised contrastive learning objective with biologically inspired augmentations. It optimizes the similarity between splicing isoforms and orthologous transcripts, capturing functional and evolutionary relationships to enhance mature RNA property prediction accuracy. 📑 Preprint: 💻 Code: 🌐 Project Page: 📦 Model Weights: 🧠 Why Orthrus? Decoding the RNA regulatory code is key to understanding biology, but traditional experimental approaches are slow and costly. Existing genomic foundation models rely on techniques like masked language modeling or next-token prediction, which aren't fully aligned with the complexities of genomic data—leading to suboptimal results. 🌟 Orthrus Highlights: - Biologically-Informed Contrastive Learning 🧪: A novel contrastive learning objective designed specifically for genomics, maximizing similarity between splicing isoforms and orthologous transcripts across species. - Extensive Pre-training 📊: Trained on splicing annotations from 10 species and orthologous alignments from 400+ mammalian species (Zoonomia Project), with a focus on sequences of high functional importance. - Superior Representations🏅: Orthrus outperforms existing genomic models on 5 mRNA property prediction tasks, often surpassing supervised methods with just a simple linear transformation. - Efficiency in Low-Data Settings📉: Orthrus excels in low-data regimes, achieving state-of-the-art results with as few as 45 labeled examples for fine-tuning on RNA half-life prediction. Shoutout to the amazing leading authors Phil (Phil Fradkin) and Ian (Ian Shi)! Also the work is impossible without an outstanding collaboration by Karina (Karin(a) Isaev), Brendan (Brendan Frey) , Quaid (Quaid Morris), Leo J. Lee! Vector Institute University Health Network U of T Department of Computer Science Temerty Centre for AI in Medicine (T-CAIREM) Department of Laboratory Medicine & Pathobiology

Bo Wang

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驚きの“DNAミュージック”発見🎶💫 こんにちは❣️今日はちょっぴり神秘的でロマンチックな科学の世界から、素敵な音の話題をお届けします🎵✨ 📢なんと…‼️ 人間のDNA――つまり生命の設計図が、音楽に変換できちゃうんです🎼🧬✨‼️ この発見をしたのは1986年、日本の遺伝学者・小野晋さん🇯🇵👏 DNAを構成する4つの文字(G・T・C・A)を、それぞれ音符(A・C・G・D)に変換してみたところ… なんと、そこに美しいメロディが現れたのです🎹🎶💡 🌟でもここからが本題❗ 「逆に音楽がDNAに影響を与えることもあるのでは❓」というワクワクする仮説が広がったのです😍💭 💥音には質量があり、振動を通じて物質を動かす力があるんです💥 これを「サイマティクス」といって、音が砂や水に不思議な模様を生み出す現象でも知られています🌊🔊🌀 🧬もし音がDNAの“振動”と共鳴したら… 細胞の働きや遺伝子のスイッチをオン・オフしたり✨ 身体や心のバランスを整えてくれるかもしれないんです❗🧘‍♀️❤️ 🎧注目されているのが「432Hz」や「ソルフェジオ周波数」と呼ばれる音🎶 特定の周波数が、DNAと共鳴して修復を促すとまで言われています🔬🎵 💡音楽療法やバイノーラルビート、アイソクロニックトーンといった技術で ✨ストレス緩和✨ ✨免疫アップ✨ ✨幸福感向上✨ まで目指せる時代に突入中です😳💓 📣つまり、音はただの“耳のごちそう”ではありません🍬🎶 “心”も“身体”も、そして“遺伝子”までも包み込む「響き」なのです🌐🌸 ぜひあなたも✨“音の魔法”✨を日々の暮らしに取り入れてみてくださいね😊🎧💕 未来は「音」で変わるかも…⁉️🔮🎶 #DNAミュージック #音楽療法 #432Hz #ソルフェジオ周波数 #癒しの科学 #音の力 💫🎶🧬💗🎧🌟

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