Giving scientists AI superpowers
❗❗❗ Beware of 'AI-washed' products in drug discovery and data analysis!❗❗❗
True innovation isn't about slapping an AI label on old tech. The Spring Engine represents genuine AI advancement, accelerating drug discovery like never before. We'll be digging deeper into this in the coming weeks, so stay tuned!
🔍 Spring’s AI tools surface these pathways, making it easier than ever for scientists to understand the mysteries of cell fate — no magic required! 🧙♀️
So this Halloween, let’s get spooky with science. May your assays be as haunting as they are illuminating! 🌙💀 (3/4)
🧪 From the fiery chaos of necrosis to the precise shutdown of apoptosis, each type of cell death has a signature lurking in the shadows… 👻 And we’re here to bring them to light! (2/4)
🎃 Not all cells go quietly… ☠️ Some die with a bang, others with a whimper, and Spring’s AI tools capture every haunting detail. Let’s dive into the eerie world of cell death mechanisms. (1/4)
We love cute animal pictures as much as the next person, but they won’t help us discover new therapies. We use real cell imaging data for that! 🧬🐱🐶
At Spring Science, we're using specialized AI to revolutionize drug discovery—accelerating the development of life-changing treatments by compressing years of progress into a fraction of the time.
Our AI platform analyzes vast biological data, uncovering insights that could take traditional methods decades to find. The future of medicine is here, driven by AI. Stay tuned! #AI #DrugDiscovery #TechBio
Explore this dataset on Spring Science to drive new discoveries!
Read the publication in Cell: https://buff.ly/4eWrtwk
Visit https://buff.ly/486on6P to access the data.
#ProteinMislocalization #SpringScience #LifeSciences #DataSharing
Building on our previous post about the Taipale lab’s work, 16% of pathogenic variants are linked to protein mislocalization, disrupting stability, especially in the secretory pathway. 🧬 Variants with distinct localization patterns are tied to different disease outcomes. 🧵
🚨 New research from the Taipale Lab (U of Toronto) reveals that protein mislocalization impacts 1/6 of all pathogenic missense variants! 🧬 This study offers new insights into the molecular roots of genetic disorders.
📊 Data now available on the Spring Science platform! 🔍 Explore the dataset to drive your own discoveries.
🔗 Explore the data: https://buff.ly/4gTE7y5
🔗 View the paper: https://buff.ly/4eWrtwk
🔗 Read more in our blog post: https://buff.ly/4ePLsxn
Exciting times in biological research with AI-powered "virtual cells"! A preprint from the Chan Zuckerberg Biohub suggests these models might revolutionize our cellular understanding. At Spring Science, we're exploring their impact on phenotypic screening in drug discovery. High-quality imaging data and advanced AI, like image embeddings, are key. This is promising for accelerating discovery, and we're dedicated to equipping researchers with the best tools. Read more:https://buff.ly/4eBjOUw
Welcome to 2024!
Many companies slap 'AI' on old tools – we call it the 'AI band-aid.'
They're stuck fixing segmentation errors instead of advancing science.
There's a better way with improved prediction accuracy. What if you didn't have to tweak cell segmentation settings?
🎉 Celebrating 7 years of innovation at Spring Science! We've harnessed AI/ML to help scientists solve the world’s toughest challenges. With 700TB+ of high-quality imaging data, spanning 20+ cell types & 30 tissue types, we're fueling our AI flywheel for even greater impact! 🚀 #AI #MachineLearning #LifeSciences #DataScience #Innovation
🔍✨ Unleashing Creativity at Spring Science's OKR Week! ✨🔍
Innovation at Spring Science isn’t just for the lab—it’s in everything we do! During OKR Week, our team swapped keyboards and pipettes for wood and pyrography pens, diving into the art of wood burning. 🪵🔥
The result? Stunning designs, from intricate patterns to our company logos, showcasing our team’s unique style and creativity.
Check out the amazing artwork! 📸👇
🔬 Unlocking the power of #CellPainting in #drugdiscovery! At Spring, we're using AI to turn cell images into groundbreaking insights. By combining cell painting with advanced machine learning, we've boosted MOA prediction accuracy from 72% to 92%! 🚀
🚀 Spring Science is revolutionizing drug discovery with AI-powered high-content imaging! Our mission: equip scientists with cutting-edge tools to speed up target ID and drug development.
Catch insights from our Senior Director, Will Van Trump, as he explores AI's transformative role in imaging from his SLAS presentation.
Stay tuned for more on cell painting, analysis challenges, and how we're leading AI-driven research.
Watch Will’s talk here: https://buff.ly/4cBHSon
Spring Science's AI embeddings are revolutionizing image analysis in phenotypic profiling.
The Spring Engine achieves an impressive 92.8% accuracy in predicting compound mechanisms of action, compared to 72.8% with traditional methods.
By transforming complex image data into compact vector representations, embeddings enable faster, more accurate analysis of large datasets empowering scientists to accelerate their research in understanding and battling diseases.
Ever wondered how computers analyze images so quickly? Enter embeddings in image analysis! 🖼️🔬 Embeddings transform images into compact vectors of numbers, allowing machines to process visual data more efficiently. Image goes through a neural network, key features are extracted, the image becomes a vector representation, and analysis begins! The result? Faster insights, accurate classifications, and handling large datasets with ease. Curious about how embeddings could accelerate your research?
Unveiling the power of embeddings in data science! 🧬🔬
Curious how complex data like images can be efficiently analyzed? Enter embeddings - a game-changing technique that transforms high-dimensional data into compact vectors of numbers.
Embeddings preserve critical information while simplifying analysis, making them essential for data science. They capture key features and relationships, enabling more effective processing of complex datasets.
Stay tuned to learn more
https://buff.ly/4dLZ6jQ
Happy #MachineLearningMonday!
Today we're highlighting our blog post about machine learning classification and how it is used in image analysis. Read it here: https://buff.ly/3wy9Ylf
