Clinicogenomics

Guide Early Discovery for Clinical Development

Enrich real-world oncology patient data with comprehensive genomic profiling information to discover hidden patterns and inform early-stage drug discovery research.

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Use Cases

Future-Plan for Clinical Research and Development

Clinicogenomics is an optional add-on designed to enrich our robust oncology patient data with genomic markers to help generate insights about new research and development opportunities.

Genomic Data Includes:

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COTA by the Numbers

2.1M+ Cancer Patient Lives

50/50 Academic vs. Community Treatment Setting

3 Approvals Supported

9 Hematology and Solid Tumor Diagnoses

5-Year Average Follow-up

2X Higher Inclusion Percentage in ECA vs. Competitor

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Additional Support

Get the Most of Your Clinicogenomics Data with Real-World Insights and Support

Real-World Support gives you access to industry veterans who can help you structure study designs, provide guidance on protocol and analysis,
make recommendations for regulatory submission packets, review research and manuscripts, and more to ensure your research achieves the highest quality standards.

Resources

Fueling the Future of Cancer Research

Explore our collection of clinical research, recent press, podcasts, and more.

Expanding insights into cancer with real-world data on solid tumors

Expanding insights into cancer with real-world data on solid tumors Cancer comes in many forms, including hematologic malignancies that originate...

Sustainability spotlight: How COTA is approaching corporate ecological responsibility

Sustainability spotlight: How COTA is approaching corporate ecological responsibility Since the turn of the century, there’s been a growing recognition...

Using AI to transform life sciences data analysis

Using AI to transform life sciences data analysis: An early look at CAILIN’s performance   COTA has launched the COTA...

Find Your Next Breakthrough

Discover the power of real world cancer data to help you understand patient journeys across the oncology spectrum and inform research directions.
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