Biomarker Discovery & Validation

The use of Biomarkers in drug development has clinical benefits that lie in evaluating therapeutic response or in monitoring and diagnosing the activity of diseases. The discovery and validation Biomarkers serve as new surrogate endpoints in initial stage of drug trials. The components of the biomarker development process include qualification, discovery, verification, research assay optimization, commercialization and clinical validation. For development and discovery of biomarker omics techniques like metabolomics, Transcriptomics, proteomics, and genomics are used and for validation of Biomarkers computational biology, profiling techniques, data mining methods and microarray data analysis can be utilized.

Biomarkers play an important role in disease diagnosis, prevention and treatment. Recent technologies, such as proteomics, genomics, metabolomics and Transcriptomics are increasing the rate of Biomarker discovery. Utilizing techniques such as computational biology, microarray data analysis, data mining methods and profiling techniques helps in Validation of biomarkers. After completion of the Human Genome Project, genome-wide association studies (GWAS) have assisted toward a better understanding of the genetic and molecular basis of complex diseases as well as advancements of more efficient technologies.

  • Mass spectrometry based biomarker discovery
  • Protein Biomarker Discovery & Validation.
  • Biomarkers for pediatric diseases
  • Omics Technologies in Biomarkers Discovery and Validation. Assessment of drug response
  • New strategies for discovery and validation of biomarkers.

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