Building an Automated Single-Cell Transcriptome Analysis Model
Identifying Candidate Biomarkers Using AI

Rokit Genomics, a subsidiary of Rokit Healthcare, announced on May 19 that it has signed a memorandum of understanding (MOU) with Bionexus to jointly develop and commercialize an artificial intelligence (AI)-based single-cell transcriptome analysis service.


Rokit Genomics company logo image. Rokit Genomics

Rokit Genomics company logo image. Rokit Genomics

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The core objective of this agreement is to build an automated single-cell transcriptome analysis model by combining Rokit Genomics' capabilities in single-cell analysis with Bionexus' AI-driven bio big data technology.


The two companies will work together on developing single-cell transcriptome linkage services using AI-based bio big data, facilitating technology exchanges for the development of AI-driven experimental and analytical services, jointly developing medical information collection and analysis technologies, and cooperating on healthcare commercialization initiatives.


This collaboration model is structured so that disease-related research hypotheses and candidate biomarkers are identified from single-cell transcriptome data using AI, and these are then linked for laboratory validation.


Rokit Genomics is responsible for operating the single-cell analysis pipeline, validating candidate biomarkers, establishing protocols, and interpreting results. Bionexus will handle AI-driven hypothesis generation and the development of automated analysis and reporting systems.



A Rokit Genomics representative stated, "This collaboration will serve as an opportunity to fundamentally change the paradigm of analysis in the most prominent field of the genomics market—single-cell transcriptomics—by fully integrating AI technology," adding, "We will accelerate precision medicine and healthcare commercialization to solidify our competitiveness in the global omics market."


This content was produced with the assistance of AI translation services.

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