What if we could look at a human tissue image🔬and quantify its biological age?🧬 And how could we get the same insights without collecting a tissue sample? In our new @biorxivpreprint, we create "tissue clocks" ⏳to do just that! 📝 #aging #tissue 🧵below

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First published as a preprint ( and open source on GitHub, it gained some traction in the biology community. In great part this was due to Yimin's talk at the scverse conference in 2024 - thank you to the whole community for the support and encouragement.

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Thank you to our friends @gmivienna for the very nice and on point Arabidopsis histology-inspired season greetings, happy holidays!

Proud of Iva Buljan, PhD student in the lab, who gave a talk and presented a poster at the inaugural meeting of the European Society for Spatial Biology in Berlin, Germany last week!

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Ejner Molten @ Austrian personalized medicine conference: data [harmonization, sharing, annotation, ...] is the largest barrier to personalized medicine implementation in Europe

Nice to see our group's work also getting media attention

Our lab had a lot of fun last night doing an escape room adventure and trying out new food at a Spanish tapas restaurant. More news at:

An important aspect of our recent work on biological age prediction from images ( was having deep learning models which are fine-tuned on datasets balanced by age, sex and tissue types⚖️ Explore the 4 open-access datasets here: 📊

RT @abila_ernesto: Check out our new @biorxivpreprint in which we leverage deep learning to create "tissue clocks"⏳

@threadreaderapp unroll

@SanjayPatelMD Thank you Sanjay! Interested in your thoughts on this, will send you an email

@jitikasbhatta19 @biorxivpreprint Thanks! The two are correlated, but in this work we focus in particular on the difference between chronological age and biological age of tissue (commonly called an age gap). This age gap is related with telomere attrition, enriched in sub-clinical pathology, and chronic disease

RT @biorxiv_physio: Tissue clocks derived from histological signatures of biological aging enable tissue-specific aging predictions from bl…