Novel method (MAXIM) uses deep learning model to impute missing stains in multiplex images (mIF).

Authors

null

Muhammad Shaban

Harvard, Boston, MA

Muhammad Shaban , Wiem Lassoued , Kenneth Canubas , Shania Bailey , Yanling Liu , Clint Allen , Julius Strauss , James L. Gulley , Sizun Jiang , Faisal Mahmood , George Zaki , Houssein Abdul Sater

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

2024 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Developmental Therapeutics—Immunotherapy

Track

Developmental Therapeutics—Immunotherapy

Sub Track

Immunobiology

Citation

J Clin Oncol 42, 2024 (suppl 16; abstr 2580)

DOI

10.1200/JCO.2024.42.16_suppl.2580

Abstract #

2580

Poster Bd #

59

Abstract Disclosures

Similar Posters

First Author: Eun Kyung Park

First Author: P. M. Harari

Poster

2024 ASCO Annual Meeting

Cost-effectiveness of a circulating tumor fraction molecular biomarker for treatment response monitoring.

Cost-effectiveness of a circulating tumor fraction molecular biomarker for treatment response monitoring.

First Author: Zachary Rivers

First Author: Keara English