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Excited to share our AI research on brain tumor classification from H&E images, now published in Nature Medicine! 🎉 Honored to be a co-first author with Danh-Tai Hoang. This work was co-led by @NCIEytanRuppin and @NCIKenAldape. Check out our tweetorial: #AI #DigitalPathology

What information is 'hidden' in a simple H&E slide!!! @NCIEytanRuppin and colleagues continue to amaze us! 👏👏👏👏 from CaldasLab! nature.com/articles/s4159…

Proud to part of this research!

We're excited to announce the next chapters of three incredible fellows: Kun Wang, starting his lab as a PI at UIUC; Rona Merdler, beginning a clinical fellowship in pediatric genomics at Mt. Sinai; and Sahil Sahni, pursuing a PhD in cancer comp bio at MSK. You'll all be missed!

Check out our new publication in Nature Cancer! 🌟Led by Danh-Tai Hoang, in collaboration with Pangea Biomed, we leveraged AI to predict treatment response from H&E slides.

Gliomas play their cards right! Our paper about the mysterious co-occurrence of chromosome 10 loss and 7 gain in #gliomas in now out in Cancer Research! #BrainCancers@Nishanth_UN Alejandro Schaffer Edward Gertz Ben-David Lab (1/n) aacrjournals.org/cancerres/arti…

Finally out in Nature Protocols : our group's workflows for end to end computational pathology. Compatible with UNI and other foundation models. Led by Omar S.M. El Nahhas from katherlab journal link: nature.com/articles/s4159… full text: rdcu.be/dT35l

Super excited to share the work by Emma Campagnolo, Roshan Lodha, me, and the team at @NCIEytanRuppin! Path2Space 🚀 — AI for spatial biomarker discovery 🧬. Check out the full thread below for more! ✨

At today’s NCI Computational Oncology Working Group meeting, hosted by the Cancer Immune Monitoring and Analysis Centers (CIMACs) and Cancer Immunologic Data Center (CIDC) Network, Dr. Eytan Ruppin (@NCIEytanRuppin), Chief of National Cancer Institute Cancer Data Science Laboratory, shared

The Dawn of Spatial Medicine Until now, spatial omics was used to understand human biology. That changed when it saved lives of patients with a fatal skin condition. In the new Ground Truths, pioneering work by Matthias Mann Lab Thierry Nordmann Max Planck Institute of Biochemistry (MPIB) and an international

Understanding ecDNA (tiny circular DNA) is among important open problems in cancer research. However, it can only be detected using whole genome sequencing - a bottleneck to study it at scale. We present ecPath - a method to detect it directly from histopathology images.🧵

Are metastatic #cancers more like their normal origin or target tissues? Our work in Science Advances systematically compares the #transcriptomics of primary and metastatic #tumors to healthy tissues in a #PanCancer, genome-wide manner! #metastasis 🧵1/10 shorturl.at/Uc4xx

Few people are aware that expensive Spatial Transcriptomics gene expression data can be reasonably predicted from the super cheap H&E slides. e.g. Path2Space @NCIEytanRuppin

🚀 Excited to introduce #Path2Omics—a #DeepLearning model that predicts gene expression & methylation from pathology slides with unprecedented accuracy! 🧬🔬 ~5,000 well-predicted genes (FFPE slides) from 15 #Cancer types, 5x more than others! #AI 🧵1/7 biorxiv.org/content/10.110…

Can we engineer smarter CAR-T cells that target cancer with logical precision? 🎯🧬 Thrilled to share the heart of my PhD: LogiCAR designer, a framework that identifies logic-gated antigen circuits for next-generation cell therapies. With Tiangen CHANG 🧵 biorxiv.org/content/10.110…

Another cool computational work on designing CAR-T therapies with high precision 🧬

👏 Big congrats to my summer mentee to Andy Wang on their first preprint! They developed a method to infer cell type-specific gene expression from histology, boosting chemo response prediction, faster and cheaper. 📄 Read it here: