Portrai Insights
Insights on data analysis, AI, and the platform we're building at Portrai.
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Variability of FP-CIT PET Patterns Associated With Clinical Features of Multiple System Atrophy
To validate the role of the dopamine transporter (DAT) imaging as a biomarker in multiple system atrophy (MSA), we analyzed the association…
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Tumor metabolic features identified by FDG PET correlates with gene networks of immune cell microenvironment in head and neck cancer
The importance of 18F-FDG PET in imaging head and neck squamous cell carcinoma (HNSCC) has grown in recent decades.
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A risk stratification model for lung cancer based on gene coexpression network and deep learning
Risk stratification model for lung cancer with gene expression profile is of great interest. Instead of previous models based on individual prognostic…
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Immune landscape of papillary thyroid cancer and immunotherapeutic implications
Although papillary thyroid cancer (PTC) is curable with excellent survival rate, patients with dedifferentiated PTC suffer the recurrence or death.
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Integrative analysis of imaging and transcriptomic data of the immune landscape associated with tumor metabolism in lung adenocarcinoma: clinical and prognostic implications.
Although metabolic modulation in the tumor microenvironment (TME) is one of the key mechanisms of cancer immune escape, there is a lack of understanding of the…
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SpatialSPM: Statistical parametric mapping for the comparison of gene expression pattern images in multiple spatial transcriptomic datasets
Spatial transcriptomic (ST) techniques help us understand the gene expression levels in specific parts of tissues and organs, providing…
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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
Recently, cell therapy has emerged as a promising treatment option for various disorders.
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IAMSAM : Image-based Analysis of Molecular signatures using the Segment-Anything Model
Spatial transcriptomics is a cutting-edge technique that combines gene expression data with spatial information, allowing researchers to…
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Deep learning-based mapping of tertiary lymphoid structure scores from H&E images of renal cell carcinoma trained by spatial transcriptomics data
Tertiary lymphoid structures are organized aggregates of immune cells present in the tumor microenvironment (TME) in which novel targets as well as beneficial biomarkers for immunotherapy in cancer...
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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
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Official posts from the Portrai team, decoding disease with spatial intelligence