Portrai Insights
Insights on data analysis, AI, and the platform we're building at Portrai.
Latest
55 articles
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…
Portrai-
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
Portrai-
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
Portrai-
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
Portrai-
Spatial Transcriptomics Reveals Spatially Diverse Cancer-Associated Fibroblast in Lung Squamous Cell Carcinoma Linked to Tumor Progression
While cancer-associated fibroblasts (CAFs) are crucial in influencing tumor growth and immune responses in lung cancer, we still lack a comprehensive understanding of their spatial organization associ
Portrai-
CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities
Large-scale single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) have transformed biomedical research into a data-driven field, enabling the creation of comprehensive data atlases.
Portrai-
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 insights into their biological functions. Even though ST dataset
Portrai-
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. Given the intricate mechanisms of action (MOA) and heterogenous distribution in target tissues inherent to cel
Portrai-
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…
Portrai-WRITTEN BY
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