ludocomito
@ludocomito
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Exploring the intersection of artificial intelligence and science, with a focus on healthcare and biotech applications.
Joined April 2015
Was very excited about the release of BoltzGen, so I went through it and made an article trying to go super into detail: https://t.co/cR02B5COKV
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Blogpost featured in spotlights!
New Community Blogs posts on Ground Zero! ⚡️ Ft. • Speedrunning an RL environment by @sidbing • Intelligence will always be valuable + first ever digital speciation by @ravishar313 • Anatomy of BoltzGen by @ludocomito • Towards Human like Memory for AI Agents by
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Really important BioAI article on BoltzGen: A comprehensive exploration of BoltzGen's architecture: from molecular representations to diffusion-based generation of protein binders
huggingface.co
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Very cool blog explaining BoltzGen! Amazing resource from @ludocomito! 👏🏻
incredibly detailed technical blog just dropped on the anatomy of BoltzGen 🧬 made for ML people, but covering everything from molecular representations to diffusion-based generation of protein binders + crazy good interactive visuals 👏👏 @ludocomito
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happy to see people enjoying the article, and thanks @cgeorgiaw for sharing! Go follow @huggingscience!🔬
incredibly detailed technical blog just dropped on the anatomy of BoltzGen 🧬 made for ML people, but covering everything from molecular representations to diffusion-based generation of protein binders + crazy good interactive visuals 👏👏 @ludocomito
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Was also a great excuse to play with https://t.co/psg4blqfOd and make some satisfying visuals!
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You can find an extended description of this project here: https://t.co/wQO5X6tHpN
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Are you interested in joining? Enter the huggingscience community! Are you a researcher interested in collaborating? Reach out in DMs!
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Our aim is being able to recognize profiles of patients at risk, and we will base this work on a recent foundation model by @MozarellaPesto trained to represent microbial interactions. More info on the model here: https://t.co/pGjA8mtFeP
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Why should we care? These microbial signatures are highly valuable, since they may enable early prediction of allergy risk and timely intervention to prevent disease development.
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Recent research is showing how the diversity and composition of our gut microbiome correlates with the development of food allergy. Children who develop allergies often show reduced microbial diversity, depletion of protective taxa, and an enrichment of pro-inflammatory bacteria
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Onto a new AI for Food Allergies project! This time is about early prediction of food allergy development from gut microbiome data 🦠
🚀🚀🚀 New Hugging Science Project 😋😋😋 Can we predict food allergies from gut microbiome data? A growing body of research shows strong links between microbial diversity and allergy risk, and now we’re taking the next step. With a recent foundation model for microbiome
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Special thanks to @cgeorgiaw @lunarflu1 for the amazing guidance and support in this journey!
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Want to join/discuss/sponsor the project? Reach out in DMs or join the Hugginscience discord channel. 🔗 Read more:
huggingface.co
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What's next? Using AI to tackle questions like: Can we predict allergies before they develop? Can we design more effective immunotherapies? Can we engineer hypoallergenic foods?
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Our first milestone: Awesome Food Allergy Datasets: The first open collection of food allergy datasets to speed up research in this field. We organized it into 3 layers: 🧬 Protein/molecular allergenicity 🏥 Clinical/immunological data 🌿 Food ingredients & regulatory data
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Models like AlphaFold revolutionized protein structure prediction. AI is accelerating drug discovery and genomics. The convergence of AI and biology is opening unprecedented possibilities for understanding and treating food allergies.
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Why? An estimated 220 million people suffer from at least one food allergy, and in the United States alone, this accounts for roughly 10% of the population. This means that if you don’t have an allergy, you’ll likely know someone who does. We have to do something about it.
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