Stanford Stem Cell Stanford University Oslounivsykehus Stanford Cancer Institute Aaron Newman Lab Chloé Steen, PhD Researchers invent a tool to create high-resolution maps of gene activity, opening a path to improved diagnostics and therapies #NBTintheNews via Stanford Medicine med.stanford.edu/stemcell/news/…

Thanks for the invitation to speak Society for Immunotherapy of Cancer National Cancer Institute Looking forward to this!

Excited to share that our paper with Aaron Newman Lab is out in Immunological Reviews!! “CD4 T cells and toxicity from immune checkpoint blockade” Led by ⭐️ trainees: Noah Earland @WUSTLmstp, Wubing Zhang Stanford Medicine, Abul Usmani @WashURadOnc & Aishwarya Nene, MD MPhil Yale School of Medicine.

Fantastic session at #CICON23 about current and future developments in #spatial #transcriptomics #singlecell a growing field that open new applications for basic and translational #Immunotherapy 🔬🧬📍🗺 Joakim Lundeberg Aaron Newman Lab

Macrophages and Myeloid Cells: Max, Aaron Newman Lab, Jennifer Guerriero, PhD, and Joseph T. Greene will address this topic in a plenary session at the AACR Special Conference on Tumor Immunology and Immunotherapy (Oct 1-4, Toronto). Learn more: bit.ly/3Pr1bqV #AACRtii23

Very honored to receive this award for our work on computational cancer biology from the Dept. of Experimental Therapeutics MD Anderson Cancer Center!

How to trace developmental potential on an absolute scale from single cell expression data? We are thrilled to announce that CytoTRACE 2 is out on bioRxiv! Aaron Newman Lab github.com/digitalcytomet… doi.org/10.1101/2024.0…

Meet #EcoTyper & CIBERSORTx: #StanDOM's game-changing duo in #CancerResearch: stan.md/3vIz4xI

Congratulations to Erin Brown on her insightful Tools of the Trade highlight of #CytoSPACE just out in Nature Reviews Cancer! nature.com/articles/s4156…

Excited to share our review on computational advances for #singlecell and #SpatialTranscriptomics Nature Reviews Molecular Cell Biology! Includes: 👉Cell plasticity 👉Spatial #ecotypes 👉#AI and foundation models Brilliantly led by Gunsagar Gulati J. D'Silva with Y. Liu and Linghua Wang, MD, PhD dlvr.it/TCBPZw

CytoTRACE 2: an interpretable deep-learning method that uses scRNA-seq data to predict absolute developmental potential across datasets. nature.com/articles/s4159…

SCI Aaron Newman Lab & others unveil CytoTRACE 2, a deep learning tool that predicts absolute cell developmental potential from #SingleCell RNA-seq data, outperforming prior methods and refining maps of cell fate and potency across tissues. brnw.ch/21wX6j4 Minji Kang