Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma [0.03%]
Ehsan Malek,Brian Betts,Megan Herr et al.
Ehsan Malek et al.
Purpose: Prolonged cytopenias are a common complication after chimeric antigen receptor (CAR) T-cell therapy for multiple myeloma, increasing the risk of severe infection. Infusion of previously collected autologous stem ...
Empowering Children and Adolescents With Cancer Through Novel, Electronic Health Record-Embedded Symptom Management Tools [0.03%]
David H Noyd
David H Noyd
Modeling the Pretest Probability of Identifying Druggable Mutations in Lung Cancer Using Nationwide Comprehensive Genomic Profiling Data [0.03%]
Hiroaki Ikushima,Kousuke Watanabe,Aya Shinozaki-Ushiku et al.
Hiroaki Ikushima et al.
Purpose: Comprehensive genomic profiling (CGP) is a key strategy in precision medicine for lung cancer, yet its clinical implementation remains limited, partly because of the uncertainty in identifying druggable mutations...
Abdul J Zakkar,Nazia Perwaiz,Vikram Harikrishnan et al.
Abdul J Zakkar et al.
Purpose: Disparities in lung cancer incidence exist in Black populations, and screening criteria underserve Black populations due to disparately elevated risk in the screening-eligible population. Prediction models that i...
Multicenter Study
JCO clinical cancer informatics. 2026 Mar:10:e2500041. DOI:10.1200/CCI-25-00041 2026
Building Capacity for Research on Cancer, Older Adults, and Under-Represented Populations: Methods and Lessons Learned From the Development of the University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center-Medicare Database [0.03%]
Tsung-Ying Lee,Eberechukwu Onukwugha,Abree Johnson et al.
Tsung-Ying Lee et al.
Purpose: This study assessed the feasibility of developing the University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center (UMGCCC)-Medicare-linked database infrastructure by integrating tumor regist...
Leveraging Digital Technology and Artificial Intelligence to Describe the Real-World Belgian Chronic Lymphocytic Leukemia Patient Population: The BE-CLLEAR Study [0.03%]
Matthias Vanderkerken,Koen Van Eygen,Veerle Galle et al.
Matthias Vanderkerken et al.
Purpose: Chronic lymphocytic leukemia (CLL) treatment paradigms have evolved significantly, yet real-world evidence (RWE) on guideline implementation and patient characteristics remains limited. ...
Multicenter Study
JCO clinical cancer informatics. 2026 Mar:10:e2500159. DOI:10.1200/CCI-25-00159 2026
Maria S Rosito,Aleck E Cervantes,Christine Hong et al.
Maria S Rosito et al.
Purpose: Studying rare genetic conditions often requires multicenter research to gather sufficient data. However, data from multiple institutions may include relatives from the same family enrolled at different sites, inc...
Ensuring Reliability of Curated Electronic Health Record-Derived Data: The Validation of Accuracy for Large Language Model-/Machine Learning-Extracted Information and Data (VALID) Framework [0.03%]
Melissa Estevez,Nisha Singh,Lauren Dyson et al.
Melissa Estevez et al.
Large language models (LLMs) are increasingly used to extract clinical data from electronic health records, offering significant improvements in scalability and efficiency for real-world data (RWD) curation in oncology. However, the adoptio...
Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models [0.03%]
使用自主托管的大规模语言模型对现实世界病理报告进行自动肿瘤疾病国际分类编码
Kamyar Arzideh,René Hosch,Amin Turki et al.
Kamyar Arzideh et al.
Purpose: Manual coding of pathology reports with International Classification of Diseases for Oncology (ICD-O)-3 codes is time-consuming, error-prone, and resource-intensive for health care institutions. To evaluate the p...
Abhishek Shivanna,Adam Spannaus,Jordan Tschida et al.
Abhishek Shivanna et al.
Purpose: Integrating artificial intelligence in cancer diagnostics has improved tumor classification beyond rule-based systems. Despite these advancements, these models may still encode demographic biases. We conducted a ...