Portrai Insights
Insights on data analysis, AI, and the platform we're building at Portrai.
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116 articles
Generating Single Cells with Language Models
Portrai VGL- Core AI of World Model From Cell-as-Text to In Silico Spatial Biology Spatial biology and single cell omics have reached an interesting point.
CELLama: cell embedding leveraging language model abilities for analyzing cell types and spatial relationship in tumor
Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) have opened up new avenues that will expand our knowledge on cellular heterogeneity and spatial tissue architecture in the tu...
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Development and validation of an AI-based model for lymphocyte identification in NSCLC H&E image using spatial transcriptomics
Spatial transcriptomics (ST) enables the integration of gene expression data with spatial context in tissue samples, providing high-resolution insights without requiring single-cell dissociation. W...
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Spatial transcriptomics-driven in silico modeling of therapeutic effects of antibody-drug conjugates and their association with treatment response in lung adenocarcinoma
Antibody-drug conjugates (ADCs) are targeted therapies that deliver cytotoxic payloads to cells expressing specific antigens. Despite their increasing use in clinical trials for advanced non-small...
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Comparative analysis and integration of image-based and high-resolution sequence-based spatial transcriptomics platforms for tumor microenvironment analysis
Advances in spatial transcriptomics (ST) enable precise gene expression analysis within the tumor microenvironment (TME). VisiumHD and Xenium Prime 5K are cutting-edge platforms offering unique str...
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Detection and spatial analysis of mRNA delivered by lipid nanoparticles through spatial transcriptomics
Lipid nanoparticle (LNP) platforms are widely used for mRNA delivery, but the precise distribution of mRNA within tissues remains poorly understood. Spatial transcriptomics technologies have enabled..
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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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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