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91 articles
CELLama-Perturb: A virtual cell modeling approach for mapping drug sensitivity across spatial tumor heterogeneity
Predicting how anticancer drugs reshape cellular states in real tissue remains challenging. Perturbation datasets with transcriptomic profiling enable in vitro models of drug response, but how such...
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Development of high-affinity human antibodies targeting POR006: A novel target in squamous cell carcinoma identified by spatial transcriptomics
Squamous cell carcinoma (SQCC) is a malignant epithelial cancer that arises in various organs, including the lung and head and neck region. Spatial transcriptomics (ST) offers high-resolution mappi...
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PortrAIgent: Co-scientist agent for end-to-end spatial transcriptomics discovery
Spatial transcriptomics (ST) technology maps gene expression within tissue structures, offering unprecedented insights into tissue organization and cellular interactions. Analyzing these complex dat..
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Engineering and evaluation of precision-glycosylated clickable albumin nanoplatform for targeting the tumor microenvironment
Glycosylation of drug delivery vehicles enables selective tumor microenvironment (TME) targeting but is…
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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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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