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Machine Evaluation of Catchment Area Relevance through Text Mining.

Philip A Arlen1, Joseph Chakko1, Geoffrey DeGennaro1

  • 1University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL.

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Summary

Researchers created an algorithm to find cancer clinical trials relevant to South Florida. This tool addresses the region's significant cancer burden and health disparities by prioritizing local cancer needs.

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Area of Science:

  • Oncology
  • Health Services Research
  • Clinical Trial Management

Background:

  • South Florida is a highly diverse region with significant cancer burden and disparities.
  • The University of Miami Sylvester Comprehensive Cancer Center serves this complex population.
  • There is a need to align clinical trials with the specific health needs of the local community.

Purpose of the Study:

  • To develop a tool for identifying cancer clinical trials relevant to Sylvester Comprehensive Cancer Center's catchment area.
  • To prioritize trials that address prevalent cancers and health disparities in South Florida.
  • To improve access to locally relevant cancer research for diverse patient populations.

Main Methods:

  • Development of a specialized algorithm by the Community Outreach and Engagement Office.
  • Focus on South Florida as the catchment area, recognizing its demographic and geographic diversity.
  • Prioritization strategy based on local tumor burden and cancer prevalence.

Main Results:

  • An algorithm designed to identify relevant clinical trials has been successfully developed.
  • The tool facilitates the targeting of trials for cancers that are locally prevalent in South Florida.
  • This approach aids in addressing the specific needs of the population served by Sylvester Comprehensive Cancer Center.

Conclusions:

  • The developed algorithm is a key resource for aligning cancer clinical trials with community needs in diverse regions.
  • Prioritizing locally relevant trials is crucial for addressing significant cancer burden and disparities.
  • This initiative enhances the center's ability to serve its catchment area effectively through targeted research.