Curious about AI's potential in Pathology? Discover how self-supervised AI autonomously learns histologic patterns: no need for experts to perform tedious annotations! Dive into our latest research: #PrecisionPathology @NYUGSOM_PMED @NYUGSOM_Path

RT @DubocDan: We were inspired by approaches like C.Origami from @BoXia7 and @artsinyc labs, which use deep learning to accurately predict….

🔬 Our latest study shows how self-supervised learning uncovers links between histologic features, molecular phenotypes and clinical outcomes—without annotations! 🧬 AI-driven pathology brings us closer to precision medicine. @NYUGSOM_Path @NYUGSOM_PMED

RT @NYULH_DeptofMed: At Med #GrandRounds today @nyugrossman, Julie A. Johnson, Pharm.D of @OhioStateCTSI gave an outstanding talk on pharma….

RT @biorxiv_cancer: Clonal Heterogeneity in Human Pancreatic Ductal Adenocarcinoma and Its Impact on Tumor Progression .

We applied CANVAS to lung cancer imaging mass cytometry data from the @loganawalsh lab, uncovering a diverse spectrum of local tumor microenvironments (LTMEs) with high spatial resolution.

Excited to share our latest in Nature BME! 🚀Led by @tan_jimin and with @DavidFenyo, we developed CANVAS—a vision transformer trained on single-cell spatial data to enable systematic studies of tumor heterogeneity:

RT @NYULH_DeptofMed: At Med #GrandRounds today @nyugrossman, Aristotelis Tsirigos, PhD (@artsinyc) gave an outstanding talk on how single-c….

RT @skimomiks: unlike in tech, nearly all big breakthroughs in biomedicine come from academic labs. so, go ahead and cheer on the musk wrec….

Celebrating Theo, our brilliant philosopher-scientist, at his farewell happy hour! 🥂 Wishing him all the best as he embarks on his next adventure. We’ll miss his insights, curiosity, and great company! @NYUGSOM_PMED

RT @iannisaifantis1: The Aifantis and Tsirigos (@artsinyc) Labs are hiring computational scientists as postdocs. If you’re passionate about….

Thrilled to announce that @tan_jimin successfully defended his thesis, 'Advancing Biological Modeling and Discovery through Machine Learning,' co-mentored by @DavidFenyo. Huge congratulations, Jimin! The future of AI-driven biology is bright! @NYUGSOM_PMED

Job Opportunity! We are hiring a Computational Postdoc to join the Tsirigos & Aifantis labs @artsinyc @iannisaifantis1. If you’re passionate about epigenetics, chromatin organization, and integrating multi-omics data using machine learning, this is the role for you! @NYUGSOM_PMED

RT @iannisaifantis1: Lets digitize Pathology! @NYUGSOM_Path.

Thank you, @BIDMC_CancerCtr, for the opportunity to present at the CRI Seminar Series! It was an honor to share our work on deciphering tumor heterogeneity through #AI. I’m excited about the future of #PrecisionMedicine and the advancements in #CancerResearch. @NYUGSOM_PMED.

RT @iannisaifantis1: Out today our 3D chromosomal landscape "evolution" paper in pediatric B cell leukemia (B-ALL). We report extensive Hi-….

RT @StermanDaniel: #1 in New York and now tied for #1 in the United States in Pulmonology and Lung Surgery! This is a testament to our mult….

RT @NatureComms: .@jane_skok @artsinyc present MethNet, a pipeline to integrate #DNAMethylation and gene expression profiles across cancers….

RT @jane_skok: Excited to share our latest paper on identification of cancer relevant CREs and CRE hubs

RT @keyuan1: So glad to see HPL out. An incredible collaboration with @artsinyc and @LeQuesneLab. Amazing work from @Adalberto_Cq, Nicolas….

A fantastic collaboration with @Adalberto_Cq, Nicolas Coudray, @LeQuesneLab, @keyuan1, and more! @glasgowunisrc @nyugrossman.