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55 articles
Unsupervised clustering of dopamine transporter PET imaging discovers heterogeneity of parkinsonism
Parkinsonism has heterogeneous nature, showing distinctive patterns of disease progression and prognosis. We aimed to find clusters of parkinsonism based on 18 F-fluoropropyl-carbomethoxyiodophenylnor
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Tumor immune profiles noninvasively estimated by FDG PET with deep learning correlate with immunotherapy response in lung adenocarcinoma
The metabolic properties of tumor microenvironment (TME) are dynamically dysregulated to achieve immune escape and promote cancer cell survival.
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Integrative analysis of FDG PET and transcriptome data for association of metabolic heterogeneity and tumor microenvironment of stomach cancer.
The close interaction between cancer and immune cells in the tumor microenvironment (TME) affects the glucose metabolic profiles of tumors. As stomach cancer shows highly variable glucose metabolic pa
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Single-cell analysis reveals the key role of enhanced endothelial glucose uptake in neurometabolic coupling
Increased glucose uptake in the activated region of the brain known as neurometabolic coupling has long been widely accepted in functional neuroimaging. A fundamental question is how and which cell pl
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A pan-cancer analysis of the clinical and genetic portraits of somatostatin receptor expressing tumor as a potential target of peptide receptor imaging and therapy
Although somatostatin receptor (SST) is a promising theranostic target and is widely expressed in tumors of various organs, the indication for therapies…
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Efficient renal clearance of DNA tetrahedron nanoparticles enables quantitative evaluation of kidney function
DNA tetrahedron nanostructure (DTN) is one of the simplest DNA nanostructures and has been successfully applied for biosensing, imaging, and treatment of cancer. To facilitate its biomedical applicati
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Deep learning-based interpretation of basal/acetazolamide brain perfusion SPECT leveraging unstructured reading reports
Basal/acetazolamide brain perfusion single-photon emission computed tomography (SPECT) has been used to evaluate functional hemodynamics in patients with carotid artery stenosis. We aimed to develop a
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Comprehensive gene expression analysis for exploring the association between glucose metabolism and differentiation of thyroid cancer
The principle of loss of iodine uptake and increased glucose metabolism according to dedifferentiation of thyroid cancer is clinically assessed by imaging. Though these biological properties are widel
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Alzheimer’s Disease Neuroimaging Initiative. Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer’s disease to Parkinson’s disease
Although functional brain imaging has been used for the early and objective assessment of cognitive dysfunction, there is a lack of generalized image-based biomarker which can evaluate individual’s co
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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