// App-Quantinova.ai

1289 : Predicting response to immune checkpoint inhibitors (ICI) in non-small-cell lung cancer (NSCLC) by combining spatial analysis of cells and RNA sequencing data from biopsies using deep learning (DL)

Researchers

Presenter

  • Ettai Markovits

Principal Investigators

  • David Soong

  • Becky Arbiv

  • Alon Groisman

  • Maya Lipinsky

  • Yoni Yedidia

  • Yoad Cohen

  • Yuval Gabay

  • Yuval Shachaf

  • Eyal Oren

  • Roman Gluskin

  • Ido Weiss

  • Hisham Hamadeh

  • Kate Sasser

  • Gali Golan

  • Brandon Higgs

  • Suzana Couto

  • Ori Zelichov

Medical Centers

  • Nucleai, Tel-Aviv, Israel

  • Genmab,Princeton,USA

Locations

  • Israel

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • Oncology (ONC)

Disease

  • Non Small Cell Lung cancer

Biomarkers

  • Cluster of Differentiation 163

  • Cluster of Differentiation 2AP

  • Programmed death-ligand 1

  • Cluster of differentiation 8A

Drug/Treatment

  • N/A

Outcome

  • N/A


Study Design

  • N/A

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • Final