Junbum (June) Kim

New @NatureMedicine paper! "Multi-parametric atlas of the pre-metastatic liver for prediction of metastatic outcome in early-stage #pancreaticcancer," with @WCMEnglanderIPM's @Hiranmayi_Ravi and Director Olivier Elemento, Ph.D.(@ElementoLab)! nature.com/articles/s4159…

Congrats to @WCMEnglanderIPM Members @Hiranmayi_Ravi, @junbum_kim, Director Olivier Elemento (@ElementoLab) and #WCM colleagues on their new @NeuroOnc paper, "Insulin feedback is a targetable resistance mechanism of #PI3K inhibition in #glioblastoma." academic.oup.com/neuro-oncology…

Hot out of the PRESS: ExPRESSO☕️🗜️: Physical expansion of FFPE tissues (or cells) for spatial proteomics! It works under VACUUM‼️: extending hydrogels to mass spectrometry imaging! Amazing work of the new Dr. Yunhao Bai, with Bokai, @xavi_r_c , and the bossman @GarryPNolan

Single-cell mass cytometry of high grade gliomas and brain metastases shows spatial neighborhoods and a population of MPO-positive macrophages associated with long-term survival in patients #NBThighlight bit.ly/3JIAsou

Synapse-tuned CARs enhance immune cell anti-tumor activity go.nature.com/3DDFHlM

We are live!!! Harnessing Artificial Intelligence Technology for IVF Embryo Selection news.weill.cornell.edu/news/2022/12/h…

The tonsils and adenoids of children who have had Covid have persistent tissue-specific immunity which includes antigen-specific memory B and T cells nature.com/articles/s4159… @NatImmunol by @ManthiramMD and colleagues @NIAIDNews

A new algorithm shows promising accuracy in detecting the normal or abnormal numbers of chromosomes in IVF embryos, according to a team of Weill Cornell Medicine researchers. bit.ly/3YA0LSN

Interesting @NatureRevGenet commentary, "A #DeepLearning method to map tissue architecture," regarding, "Unsupervised discovery of tissue architecture in multiplexed imaging," by @WCMEnglanderIPM's @junbum_kim and @afrendeiro with @ElementoLab rdcu.be/c1kvi

Our spatial omics review paper is finally out in @GenomeBiology! Many thanks to the coauthors and collaborators @mason_lab @ElementoLab @RiceLaboratory @afrendeiro @junbum_kim

Exciting times in omics! In our new @GenomeBiology paper, "Spatial omics technologies at multimodal and single cell/subcellular level," we detail the wide range of technologies, including some that can now get down to 50nm resolution, led by @JIWOONPARK_ genomebiology.biomedcentral.com/articles/10.11…

Out yesterday from @marius10p and @computingnature: Cellpose 2.0 offers pretrained models and human-in-the-loop training for improved segmentation with fewer user annotated regions. OA paper: nature.com/articles/s4159…

Using new computational method, scientists map tissue structure in unprecedented detail. Findings could improve understanding of cell activity and healthy and diseased organ function, says Dr. Oliver Elemento (@ElementoLab) of @WCMEnglanderIPM. bit.ly/3gKIWPI

Out today from the Rendeiro and Elemento labs comes Unsupervised discovery of Tissue Architecture with Graphs (UTAG) to identify architectural domains from highly multiplexed tissue imaging data! go.nature.com/3Fy6nWW

Happy to share that my first first author paper is publicly available! Special thanks to @afrendeiro and @ElementoLab for advising the work! nature.com/articles/s4159… @naturemethods

2. Unsupervised learning of multi-omic microscopic imaging nature.com/articles/s4159… by @junbum_kim @afrendeiro @ElementoLab

Are you using multiplex single-cell imaging to study healthy or disease tissue? if so check out this great new computational technique to analyze tissue architecture, uncover cellular domains and the many new insights that followed. Great work led by @junbum_kim and @afrendeiro !