Portrai Insights
Insights on data analysis, AI, and the platform we're building at Portrai.
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56 articles
GeneDART: Extending gene coverage in image-based spatial transcriptomics by deep learning-based domain adaptation with barcode-based RNA-sequencing data
doi: https://doi.org/10.1101/2023.02.07.527488 Abstract Spatial transcriptomics (ST) technologies provide comprehensive biological insights regarding cell-cell interactions and peri-cellular microenv…
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A Spatial Transcriptomics based Label-Free Method for Assessment of Human Stem Cell Distribution and Effects in a Mouse Model of Lung Fibrosis
doi: https://doi.org/10.1101/2023.05.31.542821 Abstract Recently, cell therapy has emerged as a promising treatment option for various disorders. Given the intricate mechanisms of action (MOA) and he…
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STopover captures spatial colocalization and interaction in the tumor microenvironment using topological analysis in spatial transcriptomics data
doi: https://doi.org/10.1101/2022.11.16.516708 Abstract Unraveling the spatial configuration of the tumor microenvironment (TME) is key to understanding tumor-immune interactions to translate them in…
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Spatial Transcriptomics-based Identification of Molecular Markers for Nanomedicine Distribution in Tumor Tissue
doi: https://doi.org/10.1101/2022.03.02.482584 Abstract The intratumoral accumulation of nanomedicine has been considered a passive process, referred to as the enhanced permeability and retention (EP…
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CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data
Nucleic Acids Research, gkac084 Abstract Deciphering the cellular composition in genome-wide spatially resolved transcriptomic data is a critical task to clarify the spatial context of cells in a tis…
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Prediction of post-stroke cognitive impairment using brain FDG PET: deep learning-based approach
Eur J Nucl Med Mol Imaging. 2021 Oct 2. Epub ahead of print. PMID: 34599654. Abstract Purpose: Post-stroke cognitive impairment can affect up to one third of stroke survivors. Since cognitive functio…
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Fully automated identification of brain abnormality from whole-body FDG-PET imaging using deep learning-based brain extraction and statistical parametric mapping
EJNMMI Phys. 2021 Nov 14;8(1):79. Abstract Background: The whole brain is often covered in [18F]Fluorodeoxyglucose positron emission tomography ([18F]FDG-PET) in oncology patients, but the covered br…
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Different Glucose Metabolic Features According to Cancer and Immune Cells in the Tumor Microenvironment
Front. Oncol. 11:769393 Abstract Background: A close metabolic interaction between cancer and immune cells in the tumor microenvironment (TME) plays a pivotal role in cancer immunity. Herein, we have…
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Re-assessing the enhanced permeability and retention effect in peripheral arterial disease using radiolabeled long circulating nanoparticles
Biomaterials. 2016 Sep;100:101–9. Abstract As peripheral arterial disease (PAD) results in muscle ischemia and neovascularization, it has been claimed that nanoparticles can passively accumulate in i…
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Portrai's Authors
Capturing and compounding Portrai's insights.
Daeseung Lee
CEO
Physician-scientist who left clinical practice to bring spatial biology into oncology drug discovery
Hongyoon Choi
CTO
Builds the algorithms that turn spatial transcriptomics into actionable target intelligence
Hyung-Jun Im
CSO
Nuclear medicine specialist linking imaging biomarkers to next-generation radiopharmaceuticals
Kwonjoong Na
CMO
Translates platform insights into IND-enabling decisions across oncology programs
Portrai
Official posts from the Portrai team, decoding disease with spatial intelligence