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포트래이 인사이트

데이터 분석과 AI 기술, 그리고 포트래이가 만들어가는 플랫폼의 생각을 전합니다.

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Portrai Insight

언어 모델로 세포데이터를 생성하다

Portrai VGL – Cell-as-Text에서 In Silico Spatial Biology로 신약개발의 월드 모델을 향한 Core AI 공간 생물학(spatial biology)과 단일세포 오믹스(single-cell omics)는 지금 매우 흥미로운 전환점에 와 있습니다.

최최홍윤-
AACR

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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AACR

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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AACR

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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Portrai Insight

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...

포포트래이-
AACR

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..

포포트래이-
AACR

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..

포포트래이-
AACR

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...

포포트래이-
AACR

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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