// App-Quantinova.ai

OC11.03 : *Can online search engine patterns predict gynecological cancer diagnoses?

Researchers

Presenter

  • J. Barcroft

Principal Investigators

  • V. Lampos

  • D. Guzman

  • L. Ellis

  • M. Al-Memar

  • J. Yazbek

  • P. Bennett

  • T. Bourne

  • E. Yom-Tov

  • I. Cox

  • S. Srdjan

Medical Centers

  • Computer Science, University College London, London, United Kingdom

  • Gynecological Oncology, Imperial College Healthcare NHS Trust, London, United Kingdom

  • Gynecology, Imperial College Healthcare NHS Trust, London, United Kingdom

  • Microsoft Israel Research and Development Center, Herzliya, Tel Aviv, Israel

  • Imperial College London Department of Metabolism Digestion and Reproduction, London, United Kingdom

Locations

  • United Kingdom

  • Israel

Companies

  • N/A

Study Components

Therapeutic Area

  • Genetic Disorder

  • Oncology (ONC)

Disease

  • Gynaecological cancer

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A


Study Design

  • N/A

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • Final