Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC.

Authors

null

Mehrdad Rakaee

UiT The Arctic University of Norway, Tromsø, Norway

Mehrdad Rakaee , Elio Adib , Biagio Ricciuti , Lynette M. Sholl , Weiwei Shi , Joao Victor Machado Alessi , Alessio Cortellini , Claudia A.M. Fulgenzi , David J. James Pinato , Sayed MS Hashemi , Idris Bahce , Ilias Houda , Simin Jamaly , Sigve Andersen , Tom Donnem , Mark M. Awad , David J. Kwiatkowski

Sign-In to See More Abstracts, Journal Articles, Posters, Videos and Slides and to Bookmark Your Favorite Content.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Poster Details

Meeting

2022 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Lung Cancer—Non-Small Cell Metastatic

Track

Lung Cancer

Sub Track

Metastatic Non–Small Cell Lung Cancer

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr 9065)

DOI

10.1200/JCO.2022.40.16_suppl.9065

Abstract #

9065

Poster Bd #

53

Abstract Disclosures

Similar Posters

Poster

2022 ASCO Annual Meeting

A pancancer analysis of impact of <em>MDM2/MDM4</em> on immune checkpoint blockade (ICB).

A pancancer analysis of impact of MDM2/MDM4 on immune checkpoint blockade (ICB).

First Author: Wafik S. El-Deiry

First Author: Deborah Blythe Doroshow

First Author: Eric Nadler