This study addressed the high variability in allogeneic NK cell expansion by applying ScaiVision to pre-expansion single-cell transcriptomics data. While standard methods failed, our AI approach unexpectedly uncovered a previously unknown supportive role for B cells in NK cell expansion, providing a blueprint for improving cell therapy manufacturing.
Continue readingSingle-Cell RNA Sequencing of PBMCs Identified Junction Plakoglobin (JUP) as Stratification Biomarker for Endometriosis
This study aimed to identify unique characteristics in the peripheral blood mononuclear cells (PBMCs) of endometriosis patients and develop a non-invasive early diagnostic tool. Using single-cell RNA sequencing (scRNA-seq), we constructed the first single-cell atlas of PBMCs from endometriosis patients based on 107,964 cells and 25,847 genes.
Continue readingCNN-based learning of single-cell transcriptomes reveals a blood-detectable multi-cancer signature of brain metastasis
Scailyte’s pan-cancer brain metastasis signature, derived via single-cell RNA sequencing and ScaiVision AI, enables early detection, prognosis, and targeted therapy.
Continue readingTracing Endometriosis: Coupling deeply phenotyped, single-cell based Endometrial Differences and AI for disease pathology and prediction
Scailyte’s single-cell atlas reveals key gene changes in endometriosis, offering new insights into pathophysiology, predictive models, and potential treatment targets.
Continue readingComparative immune profiling of acute respiratory distress syndrome patients with or without SARS-CoV-2 infection (Cell Reports Medicine)
In this study, exploiting ScaiVision’s unique sensitivity, we were able to identify an immune population strongly linked to the development of complications from COVID associated with a high mortality rate.
Continue readingSensitive detection of rare disease-associated cell subsets via representation learning (Nature Communications)
Original manuscript establishing the framework which laid the groundwork for our biomarker discovery platform ScaiVision. Initially designed for CyTOF data, we have now extended this framework for the integrative analysis of a large variety of data modalities enabling true multimodal analyses crucial for precision medicine.
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