Manuscripts
Abstracts
May 18, 2020
Using artificial intelligence to improve capture of metastatic breast cancer (BC) status in electronic health records (EHR)
ISPOR 2020
Agrawal S et al
December 7, 2023
Disparities in genetic testing patterns and positivity among patients with breast cancer in the CancerLINQ real-world oncology database
San Antonio Breast Cancer Symposium 2023
Kantor O et al
October 27, 2023
Implementing a BRAF biomarker electronic clinical quality measure in CancerLinQ
ASCO Quality Care Symposium 2023
Drumheller C et al
October 27, 2023
Uptake and efficacy of immuno-oncology combinations in metastatic renal cell carcinoma in the United States: Evidence from the ASCO CancerLinQ Discovery database
ASCO Quality Care Symposium 2023
Vento J et al
June 2, 2023
Pitfalls with analyses of real-world data: A look at ASCO’s CancerLinQ Discovery Multiple Myeloma dataset
ASCO Annual Meeting 2023
Shou K J et al
June 2, 2023
A real-world study of US patients with metastatic ovarian, fallopian tube, and peritoneal cancer (mOFPC) using integrated electronic health records (EHR) and claims datasets.
ASCO Annual Meeting 2023
Avinash P B et al
June 2, 2023
The RESECT study: Factors associated with overall survival (OS) and relapse-free survival (RFS) among patients with stages I–III resected NSCLC without known EGFR mutations
ASCO Annual Meeting 2023
Gray J E et al
June 2, 2023
Real-world response endpoints in patients with mNSCLC treated with chemotherapy across real-world datasets
ASCO Annual Meeting 2023
McKelvey B A et al
June 2, 2023
Electronic health record (EHR) and genomics-based machine learning (ML) to predict therapeutic effectiveness among patients with hormone-receptor positive (HR)+/HER2-advanced breast cancer (aBC)
ASCO Annual Meeting 2023
Hathi D et al
