Beibei RU

Our Cell paper is online (doi.org/10.1016/j.cell…)! We present the CIDE framework, broadly applicable to cancer research and oncology. Also, we highlight AOAH as a promising new immunotherapy.

Spotlight on cancer immunotherapies go.nature.com/3XUTPkM

Delighted to announce the publication of our 10 hallmarks of AI in precision oncology Review paper in Nature Cancer! This work provides a comprehensive, up-to-date synthesis of AI’s transformative role in cancer care. Check it out here: nature.com/articles/s4301…

🚀 Proud to launch ⭐Path2Space⭐ — the first AI to discover spatial biomarkers for cancer treatment! It predicts spatial gene expression from histopathology, enabling large-scale tumor microenvironment profiling. biorxiv.org/content/10.110… 🧵1/11

@Zhiliang_Bai @CellCellPress Another amazing study online within just one week! Congratulations, Zhiliang!

Thrilled to present Patho-DBiT out @CellCellPress A first-of-its-kind technology for spatial whole transcriptome sequencing of clinically archived FFPE tissues, mapping various large/small RNAs, alternative splicing, and genome-wide SNV, all at once from the same tissue section!

🎙️ Tune in to Cancer HealthCast! Discussing our latest AI tool predicting immunotherapy responses, as well as the NCI/CCR Synthesis Clinical Trial this fall and its impact on the treatment of aggressive breast cancer. Listen here: govciomedia.com/this-ai-tool-c…

How do we uncover cell-cell interactions from #SpatialTranscriptomics data? Excited to share Niche-DE (doi.org/10.1186/s13059…). Niche-DE asks how does a cell’s transcriptome depend on its spatial neighbors, by identifying Niche-Differentially Expressed genes. 1/9

Recently published: @bei2ru @PengJiang20 @NCIEytanRuppin develop Spatial Cellular Estimator for Tumors (SpaCET) to infer cell types and ligand-receptor interactions from #SpatialTranscriptomics data in cancer #CancerResearch @natrescancer doi.org/10.1038/s41467…

We have released the SpaCET package for cell lineage deconvolution and cell-cell interaction inference in Tumor Spatial Transcriptomics: nature.com/articles/s4146… Welcome to try our package: github.com/data2intellige… Congratulations to Dr. Beibei Ru and Dr. Jinlin Huang.

What are the big-data analyses that transformed the understanding, diagnosis & treatment decisions of cancer? The next challenges to push this even further? & a compilation of all the major big-data resources to assist in this. Our review's full version: tinyurl.com/mrxpjaad

We are very excited to release our Tres framework to evaluate T-cell anti-tumor efficacy, and FIBP as a candidate immunotherapy target. The paper is published on Nature Medicine: nature.com/articles/s4159… The Tres server is available at: resilience.ccr.cancer.gov

Discover immunotherapy biomarkers from single-cell cytometry data: cell.com/patterns/fullt… A short preview article we wrote to highlight a recent publication and briefly summary the relevant literature.

We are very excited to release our CytoSig web framework to help immunologists with cytokine signaling research. The paper is published on Nature Methods: nature.com/articles/s4159… The CytoSig server is available at: cytosig.ccr.cancer.gov