// App-Quantinova.ai

e13002 : ERASE: Elimination of recurring artifacts and stochastic errors: An NGS analysis approach and its application to liquid biopsy samples.

Researchers

Presenter

  • Nicholas Kamps-Hughes

Principal Investigators

  • Tony Tran

  • Reynolds Brobey

  • Robert J. Amato

  • Ajjai Shivaram Alva

  • Pamela Paris

  • Terence W. Friedlander

  • Gayatri Premasekharan

  • Cristian Ionescu-Zanetti

Medical Centers

  • Fluxion Biosciences, South San Francisco, CA

  • The University of Texas Health Science Center at Houston, Houston, TX

  • The University of Texas Health Science Center at Houston, Houston, TX

  • Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI

  • University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, CA

  • University of California, San Francisco, San Francisco, CA

  • UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA

Locations

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • Oncology (ONC)

Disease

  • Solid malignancies

Biomarkers

  • Circulating tumor cells

Drug/Treatment

  • N/A

Outcome

  • N/A


Study Design

  • N/A

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • Final