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Cancer Research Communications|October 28, 2022
Peripheral Blood Monocyte Abundance Predicts Outcomes in Patients with Breast CancerMargaret L Axelrod, Yu Wang, Yaomin Xu, et al.
Clinical Pharmacology and Therapeutics|January 21, 2020
Development of a System for Postmarketing Population Pharmacokinetic and Pharmacodynamic Studies Using Real-World Data From Electronic Health RecordsLeena Choi, Cole Beck, Elizabeth McNeer, et al.
Medrxiv : the Preprint Server for Health Sciences|December 11, 2023
Scalable Incident Detection via Natural Language Processing and Probabilistic Language ModelsColin G Walsh, Drew Wilimitis, Qingxia Chen, et al.
Scientific Reports|October 8, 2024
Scalable incident detection via natural language processing and probabilistic language modelsColin G Walsh, Drew Wilimitis, Qingxia Chen, et al.
The Journal of Molecular Diagnostics : JMD|April 8, 2024
Cost-Effective and Scalable Clonal Hematopoiesis Assay Provides Insight into Clonal DynamicsTaralynn Mack, Caitlyn Vlasschaert, Kelly von Beck, et al.
Medrxiv : the Preprint Server for Health Sciences|November 21, 2023
Cost-effective and scalable clonal hematopoiesis assay provides insight into clonal dynamicsTaralynn Mack, Caitlyn Vlasschaert, Kelly von Beck, et al.
International Journal of Radiation Oncology, Biology, Physics|October 25, 2025
Clonal Hematopoiesis of Indeterminate Potential After Radiation TherapyShelby A Crants, Sydney S Olson, Yajing Li, et al.
Blood Cancer Journal|January 15, 2024
Driver mutation zygosity is a critical factor in predicting clonal hematopoiesis transformation riskAshwin Kishtagari, M A Wasay Khan, Yajing Li, et al.
Allergologia Et Immunopathologia|August 25, 2004
Montelukast in early childhood asthma. Predict value of IgG in clinical reply in children 2 to 5 years old?S V Hernando, M Rodríguez, S J A Ayala, et al.
Medrxiv : the Preprint Server for Health Sciences|March 17, 2025
irAE-GPT: Leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasetsCosmin A Bejan, Michelle Wang, Sriram Venkateswaran, et al.
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