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New and Noteworthy
Publication summary
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Breast cancer
Treatment patterns
Non-small cell lung cancer
Real-world evidence
Machine learning
Metastatic breast cancer
Multiple myeloma
Clinical research
Health equity
Data science
Diffuse large B-Cell lymphoma
Methodology
Prostate cancer
Comparative effectiveness
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Small cell lung cancer
Urothelial cell carcinoma
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Chronic lymphocytic leukemia
Colorectal cancer
Precision medicine
Artificial intelligence
EHR-to-EDC
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Tumor agnostic
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Genitourinary cancer
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Utilization of real-world evidence in regulatory approvals for multiple myeloma therapies
Blood Cancer Journal
Publication summary
Publications
Multiple myeloma
Regulatory
Real-world glucagon-like peptide-1 use and association with clinical characteristics, social determinants, and circulating tumor DNA positivity in patients with breast cancer
SABCS
Publication summary
Publications
Breast cancer
Real-world treatment patterns and clinical outcomes in patients with emerging estrogen receptor 1 (ESR1)-mutated ER+ metastatic breast cancer in the U.S., 2018-2024
SABCS
Publication summary
Publications
Real-world treatment patterns in 1954 US patients with HER2-negative early breast cancer and germline BRCA mutations (2021–2025)
SABCS
Publication summary
Publications
Treatment patterns
Breast cancer
Real-world overall survival with palbociclib plus an aromatase inhibitor in patients with HR+/HER2− metastatic breast cancer who are overweight/obese
SABCS
Publication summary
Publications
Metastatic breast cancer
Breast cancer
Real-world progression-free survival 2 and tumor response with CDK4/6is + aromatase inhibitor in patients with HR+/HER2– metastatic breast cancer
SABCS
Publication summary
Publications
Metastatic breast cancer
Racial/ethnic inequities in access to novel therapies and outcomes in triple negative breast cancer
SABCS
Publication summary
Publications
Health equity
Breast cancer
Privacy-preserving error analysis loop For ML-based extraction of oncology EHR data
ESMO AI & Digital Oncology
Publication summary
Publications
Data science
Machine learning
Data management
A pan-tumor and pan-country approach to LLM-based extraction of systemic therapies from the electronic health record
ESMO AI & Digital Oncology
Publication summary
Publications
Machine learning
Tumor agnostic
Data management
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