Ernesto Abila
@e-abila.bsky.social
Predoctoral Fellow in the Rendeiro Group at @CeMM_News
New preprint from my PhD! 🥳 Using deep learning and spatial analysis, we mapped 3.5 billion cells in tissue images from 16 human organs and 980 donors spanning the adult lifespan. doi.org/10.64898/202... #aging #spatialbiology #computationalpathology #deeplearning
Amazing news, our paper is now published in Nature Medicine! 🎉🎉
Andre Rendeiro@andre-rendeiro.com · 3mo ago🎉 Our tissue clocks paper is now out in **Nature Medicine**! We quantified biological age from ~25k histology images of 983 GTEx donors — and showed the signal can be read from blood. 📄 www.nature.com/articles/s41...
Excited to share that our package has been published in Nature Methods! Shoutout to @yimin-zheng.bsky.social for leading this project and the whole Lab and community for their contributions!
Andre Rendeiro@andre-rendeiro.com · 8mo ago🎉 LazySlide published in Nature Methods! Open-source framework bridging computational pathology with the scverse ecosystem. Thanks to @yimin-zheng.bsky.social for leading this, the Rendeiro Lab, and the amazing community support! 📄 www.nature.com/articles/s41... 📝 rendeiro.group/p/lazyslide-...
New work from Iva Buljan @ivabuljan.bsky.social in our lab! We mapped how human tissue architecture changes with age using ~25k histology slides from 983 donors. This is the first body-wide atlas of human microanatomy. 📄 Preprint: www.biorxiv.org/content/10.1...
Check out our new package & preprint! We introduce LazySlide 🦥, a free and open-source framework for whole slide analysis.
Andre Rendeiro@andre-rendeiro.com · last yr.🔬 Whole slide histopathology images are a goldmine for tissue biology and diagnostics - but too often locked away in inaccessible formats or tools. In our new preprint, we introduce LazySlide: an open-source, modular, and interoperable framework. www.biorxiv.org/content/10.1...
