Scientific Publications


Reaching beyond maximum grade: Progress and future directions for modernising the assessment and reporting of adverse events in haematological maligna…

The Lancet Haematology
Thanarajasingam G et al.

Cancer registry data linkage of electronic health record data from ASCO’s CancerLinQ: Evaluation of advantages, limitations, and lessons learned

JCO Clinical Cancer Informatics
Charlton et al.

Real-world clinical outcomes of patients with BRCA-mutated, human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer: a Cance…

Breast Cancer Research and Treatment
Miller et al.

Quantitating and Assessing Interoperability Between Electronic Health Records

Journal of the American Medical Informatics Association
Bernstam et al.

The Chasm Between Cancer Quality Measures and EHR Data Quality

JCO Clinical Cancer Informatics
Schorer et al.

The Friends of Cancer Research real-world data collaboration pilot 2.0: Methodological recommendations from oncology case studies

Clinical Pharmacology & Therapeutics
Rivera et a.

Predicting cardiac adverse events in patients receiving immune checkpoint inhibitors: a machine learning approach

Journal for Immunotherapy of Cancer
Heilbroner et al.

Survival in the real world: A national analysis of patients treated for early-stage breast cancer

JCO Oncology Practice
Gidwani et al.

Summary of the 12 Most Common Cancers in the CancerLinQ Discovery® (CLQD) Database

JCO Clinical Cancer Informatics
Potter et al.


Real-world outcomes in patients (pts) with metastatic triple-negative breast cancer (mTNBC) treated with sacituzumab govitecan (SG) in 2L+ in the Unit…

ASCO Annual Meeting 2023
Kalinsky K et al

Electronic health record (EHR)-based machine learning (ML) to predict disease recurrence after surgical resection of early-stage non-small cell lung c…

ASCO Annual Meeting 2023
Pisano S et al

Evaluating clinical trial inclusion/exclusion criteria from claims using generative artificial intelligence

ASCO Annual Meeting 2023
Mueller J et al

Treatment outcomes in patients (pts) with advanced/metastatic non‑small cell lung cancer (NSCLC) harboring MET amplification as a secondary oncogenic…

ASCO Annual Meeting 2023
Ryder A et al

Assessment of electronic health record (EHR) –based machine learning (ML) in predicting risk of brain metastasis among patients with early-stage non–s…

ASCO Annual Meeting 2023
Honarvar H et al

Identification of biomarkers for early progression in muscle invasive bladder cancer (MIBC) using real-world data

ASCO Annual Meeting 2023
Singh N et al

Biomarker testing and treatment patterns in US patients (pts) with advanced/metastatic non‑small cell lung cancer (NSCLC) harboring MET amplification

ASCO Annual Meeting 2023
Ryder A et al

Site of metastasis (SoM) and its impact on clinical outcomes in 8 cancer cohorts

ASCO Annual Meeting 2023
George R et al

Patient characteristics, treatment patterns, and factors of biomarker testing among patients with advanced non-small cell lung cancer (ANSCLC) in the…

2023 ISPOR
Yang M