• Explore /
  • Poster
  • / Machine learning-based noninvasive diagnostic classifiers for the prediction of cancer tissue of origin using serum microRNAs.

Machine learning-based noninvasive diagnostic classifiers for the prediction of cancer tissue of origin using serum microRNAs.

Abstract Video & Slides Poster

Authors

null

Andrew Zhang

Yale University, New Haven, CT

Andrew Zhang , Hallgeir Rui , Hai Hu

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 Breakthrough

Session Type

Poster Session

Session Title

Poster Session B

Track

Thoracic Cancers,Breast Cancer,Gynecologic Cancer,Head and Neck Cancer,Hematologic Malignancies,Genetics/Genomics/Multiomics,Healthtech Innovations,Models of Care and Care Delivery,Viral-Mediated Malignancies,Other Malignancies or Topics

Sub Track

Early Detection and Surveillance

Citation

J Clin Oncol 42, 2024 (suppl 23; abstr 101)

DOI

10.1200/JCO.2024.42.23_suppl.101

Abstract #

101

Poster Bd #

C1

Abstract Disclosures

Similar Posters

First Author: Li-Yue Sun

First Author: Xiangdong Li

First Author: Mao Mao

First Author: Alexandru George Floares