Manuscripts

January 10, 2023

Challenges to using big data in cancer

Cancer Research
Sweeney SM et al
January 10, 2023

Case studies for overcoming challenges in using big data in cancer

Cancer Research
Sweeney SM et al
May 1, 2022

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

The Lancet Haematology
Thanarajasingam G et al
February 22, 2022

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

Breast Cancer Research and Treatment
Miller RS et al
September 24, 2021

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

JCO Oncology Practice
Gidwani R et al
April 28, 2022

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 M et al
October 4, 2021

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

The Journal for ImmunoTherapy of Cancer
Heilbroner SP et al
October 18, 2021

The Friends of Cancer Research Real World Data (RWD) Collaboration Pilot 2.0: Methodological Recommendations from Oncology Case Studies

Clinical Pharmacology & Therapeutics
Rivera D et al
February 21, 2021

Challenges and Opportunities to Developing a Frailty Index Using Electronic Health Record Data

Journal of Geriatric Oncology
Levit L et al

Abstracts

June 2, 2023

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

ASCO Annual Meeting 2023
George R et al
June 2, 2023

Enhancement in line of therapy (LoT) derivation from real-world data (RWD) from electronic health records (EHR) via integration of medical claims data

ASCO Annual Meeting 2023
Agrawal S et al
June 2, 2023

Development of natural language processing (NLP) models for extracting key features from unstructured notes to create real-world data (RWD) assets for clinical research at scale

ASCO Annual Meeting 2023
Agrawal S et al
June 2, 2023

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

ASCO Annual Meeting 2023
Mueller J et al
June 2, 2023

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

ASCO Annual Meeting 2023

Singh N et al

June 2, 2023

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

ASCO Annual Meeting 2023
Pisano S et al
June 2, 2023

Assessment of electronic health record (EHR)-based machine learning (ML) in predicting risk of brain metastasis among patients with early-stage non-small-cell lung cancer (eNSCLC)

ASCO Annual Meeting 2023
Honarvar H et al
June 2, 2023

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
June 2, 2023

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

ASCO Annual Meeting 2023
Ryder A et al