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In Silico Biomarker Discovery for Immune Monitoring

All products and services are For Research Use Only and CANNOT be used in the treatment or diagnosis of disease.

The search for biomarkers to aid accurate diagnosis and predict progression has become a major research goal. Creative Biolabs has developed a novel in silico methodology by facilitating the data integration and analysis for the early identification of novel disease-related biomarkers. Creative Biolabs is committed to providing overall solutions for Immune Biomarker Discovery, focusing on innovative research. Our R&D scientific team has conducted many in silico biomarker discovery projects during the past few years. We are more than happy to share our experience and help our customers with biomarker development.

Promises of In Silico Biomarker Discovery

In the past few years, a remarkable transformation has begun to evolve in the biomarker field. The most widely used strategy for biomarker discovery is predicated on the identification of potential candidate biomarkers using knowledge of disease processes followed by validation, comparing healthy control to affected subjects. In silico analysis of publicly available gene expression data is an efficient way. Comprehensive high-throughput genomic data are increasingly applied to human cancers in an attempt to discover predictors of clinical outcome. These databases provide an unprecedented opportunity to rapidly assess almost any mRNA expression-based biomarker separately in silico. Studies that used to require many years to be completed for immunohistochemistry (IHC)-based markers can now be completed in a few weeks by a well-trained investigator using basic bioinformatics methods.

Big data-driven approach. Fig.1 Big data-driven approach. (Wooden, 2017)

In Silico Biomarker Discovery Service at Creative Biolabs

Creative Biolabs applies an informatics approach through the utilization of in silico data-driven biomarker discovery that would enable a comprehensive analysis of a body of information. Firstly, an in silico molecular disease model can be constructed. Next, biomarker candidates that are dysregulated in the disease of interest are identified with this model and our efficient biomarker optimization software systems. Then, our seasoned scientists will assess the biomarker candidates identified by immunodetection methods as the clients required.

Applications of Biomarker Discovery

  • Rapid disease diagnosis
  • Prediction of prognosis
  • Support for clinical trial monitoring
  • Drug-resistance and response analysis
  • Development of cost/time-efficient precision medicine

Highlights

  • In silico molecular disease model construction
  • Biomarker optimization software system
  • Utilizing artificial intelligence (AI)-based search Technologies to simultaneously evaluate a broad range of candidate signatures
  • Identify clinical and molecular signatures of pathogenic processes and disease progression

By applying our staff's experience and a proven system, Creative Biolabs continues to serve our clients with professionalism and expertise in in silico biomarker discovery. For more detailed information, please feel free to contact us or directly send us an inquiry.

Reference

  1. Wooden, B.; et al. Using big data to discover diagnostics and therapeutics for gastrointestinal and liver diseases. Gastroenterology. 2017, 152(1):53-67.
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