
Eduard Chelebian
@EChelebian
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PhD | Deep Learning Engineer @OmicVision | #ArtificialIntelligence for #SpatialOmics and #ComputationPathology.
Uppsala, Sverige
Joined August 2021
RT @jnkath: My lab ( will soon be looking for multiple postdocs / research software engineers in the field of agent….
jnkather.github.io
Welcome to the Kather Lab
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RT @OmicVision: New @biorxivpreprint ! With Dr. Maitra @Aiims1742 (@MDAndersonNews) & Nebraska Rapid Autopsy Program, we used AI-powered D….
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RT @jnkath: Very happy to share our new paper on LLM-based tumor board agents. Submitted August 2024, published in @NatureCancer today ☺️ L….
nature.com
Nature Cancer - Ferber et al. present an autonomous artificial intelligence agent system for deployment of specialized medical oncology computational tools, validating their system across various...
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RT @naturemethods: A really nice paper out today from the Wang lab describing OmiCLIP, a visual–omics foundation model linking H&E images a….
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Our survey on *Combining spatial transcriptomics with tissue morphology* available @NatureComms !. We frame it around two strategies:.🔁 Translation – predict gene expression from H&E .➕ Integration – use morphology to enrich spatial transcriptomics .
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RT @LukasValihrach: Cell-type deconvolution methods for spatial transcriptomics🤟
nature.com
Nature Reviews Genetics - Cell-type deconvolution methods are often needed to analyse spatial transcriptomic data to recover cell-type distributions. In this Review, the authors describe the...
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RT @AI4Pathology: One year since releasing UNI and CONCH, our computational pathology models have 1.4M+ downloads, have been used by hundre….
linkedin.com
Our group started experimenting with self-supervised learning to improve feature representation in pathology back in 2020. In 2021 Ming Yang (Max) Lu's work showed success with improving performance...
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RT @LukasValihrach: Entering the era of deep single-cell proteomics
nature.com
Nature Methods - Advances in single-cell proteomics allow quantification of half of the expressed proteome in an individual cell.
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RT @MolecularCell: Deciphering functional tumor-immune crosstalk through highly multiplexed imaging and deep visual proteomics https://t.co….
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RT @AI4Pathology: Excited to see our work highlighted by @Meta @AIatMeta! Including UNI ( and PathChat ( https://t.c….
ai.meta.com
When Dr. Faisal Mahmood set up his laboratory at the intersection of pathology and machine learning. The team credits open source models, including Meta’s DINO, with helping them do their work.
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RT @naturemethods: Segment Anything for Microscopy (μSAM) is based on Segment Anything, the vision transformer model for image segmentation….
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RT @MundAndreas: Deep visual multi-omics in action! Horvath Lab's research offers a clearer view of the molecular factors driving aggressiv….
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RT @cppape: Announcing PathoSAM, our foundation model for nucleus segmentation in histopathology. PathoSAM supports interactive and automa….
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RT @AI4Pathology: ✨📣Introducing THREADS: a multimodal foundation model for pathology trained on paired histology and genomic data 🔬+🧬 .We s….
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RT @MundAndreas: News from the @labs_mann in @MolecularCell: Multiplexed imaging-powered Deep Visual Proteomics offers deeper insights int….
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RT @MolecularCell: Online Now: Deciphering functional tumor-immune crosstalk through highly multiplexed imaging and deep visual proteomics….
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RT @AI4Pathology: ⚡️Announcing UNI 2: Over the past nine months its been humbling to see how UNI ( and CONCH (https….
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RT @AskaryLab: Spatial MOtif REcognition (SMORE) is now peer-reviewed and out at @GenomeBiology Updates include analysis of sequencing-base….
genomebiology.biomedcentral.com
Deciphering the link between tissue architecture and function requires methods to identify and interpret patterns in spatial arrangement of cells. We present SMORE, an approach to detect patterns in...
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RT @OmicVision: We are #hiring again! Join our ambitious and growing team at the BioInnovation Institute (BII) in Copenhagen and help pione….
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RT @MundAndreas: Exciting news - Spatial Proteomics is @naturemethods’ 2024 Method of the Year! Our commentary highlights how Deep Visual P….
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