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⚡🎉 We are thrilled to introduce VORTEX, an AI-powered computational framework for predicting 3D Spatial Transcriptomics (ST) using 3D tissue images and minimal 2D ST! 🧬 By combining cutting-edge 3D non-destructive tissue imaging with AI, VORTEX imputes the 3D molecular landscape of large tissue samples in a cost-effective and... scalable manner. 🧠💡Our approach: By pretraining on diverse 3D morphology–2D transcriptomic pairs from heterogeneous tissue samples, and then fine-tuning on minimal 2D ST data from a volume of interest, VORTEX leverages both generic tissue-specific and sample-specific morphomolecular correlates to predict 3D ST. Congratulations to our superstar co-leads Cristina Almagro Pérez and Andrew H. Song, this was an exciting collaboration with Jonathan Liu Sizun Jiang Ali Bashashati. Preprint: Demo: Read the excellent blog from our superstar grad student Cristina Almagro Pérez: Also see our previous work on 3D Computational Pathology from Andrew H. Song published in Cell last year: Stay tuned for more to come.show more

Faisal Mahmood

6,949 subscribers

17,969 views • 1 year ago •via X (Twitter)

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3 Comments

Joe Yeong1 year ago

hi Faisal, welcome to Asia in June. :) texted u in both twitter and Linkedin. :)

SCAI1 year ago

💡 Take your interventional cardiology career to the next level at SCAI 2025 Scientific Sessions. Join us on May 1-3, in Washington, D.C. Three days of innovative science, practical education, and world-class networking await you.🌟 Secure your spot today.

DrNeil1 year ago

I think there should be a artificial general intelligence medicine ai or branched or field based ai system which learn and self imporve.

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