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Analytic platform for optimal target pair selection in bispecific antibody-drug conjugates using scRNA-seq and spatial transcriptomics data
Bispecific antibody-drug conjugates (BiADCs) are innovative anticancer therapeutics that simultaneously bind to two targets. The limitations of single-target antibody-drug conjugates(ADCs) have beco..
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Identification and validation of human antibodies targeting a novel pan-adenocarcinoma target discovered via spatial transcriptomics
Adenocarcinoma (ADCA) is a type of cancer that originates in glandular epithelial cells in various organs such as pancreas, colon and lung. Spatial transcriptomics enables the high-resolution mapp...
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Development of human antibodies targeting a novel cancer-associated fibroblast protein identified from spatial transcriptomics
Cancer-associated fibroblasts (CAFs) are key components of the tumor microenvironment and play a critical role in tumor progression and therapy resistance. Recent advances in spatial transcriptomics..
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High-resolution AI-based spatial biology tool for lung cancer trained by image-based spatial transcriptomics data to analyze tumor microenvironmnet
Spatial biology enables the analysis of tumor microenvironments by revealing cellular relationships within the heterogeneous tumor landscape, which are closely associated with tumor characteristics...
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Biologically informed cell typing in the tumor microenvironment with lightweight LLMs
The tumor microenvironment (TME) is a complex ecosystem of diverse cell types that interact dynamically, influencing tumor development and therapy response. Accurate cell type annotation in the TME...
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Estimation of homologous recombination deficiency map from spatial transcriptomics
Homologous recombination deficiency (HRD) is a predictive biomarker for various anti-cancer drugs such as poly(ADP-ribose) polymerase inhibitors (PARPi) and platinum-based chemotherapeutic agents...
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Generation of Super-resolution Images from Barcode-based Spatial Transcriptomics Using Deep Image Prior
Spatial transcriptomics (ST) has revolutionized the field of biology by providing a powerful tool for analyzing gene expression in situ. However, current ST methods, particularly barcode-based methods
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Spatial transcriptomics unveils landscape of resistance to concurrent chemo-radiotherapy in hypopharyngeal squamous cell carcinoma: the role of SPP1+ macrophages
Hypopharyngeal squamous cell carcinoma (SCC) is a highly aggressive cancer with a poor prognosis, particularly in advanced stages where concurrent chemoradiotherapy (CCRT) is used for treatment. Howev
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Analysis of Unmapped RNA-seq Data from Cancer Spatial Transcriptome to Decipher Cancer Microbiome
Recent research increasingly emphasizes the importance of the microbiome in the development and progression of cancer. Thus, exploring the microbiome modulation in tumor microenvironment and understan
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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