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Open access Sep 2026

Leveraging dynamic prompting for outcome prediction of cancer patients using large language models and electronic health record notes

Outcome prediction from unstructured EHR notes remains challenging, especially for rare cancers with limited representation in large language model (LLM) pre-training data. We present a dynamic prompting framework that retrieves semantically similar patient examples, constructs tailored few-shot prompts and integrate...

Shreya Anil, B. Srinivas, Bo Liu et al. · 0 citations
Open access Aug 2026

Deep Learning Enables Automated Detection of Mature B Cell Neoplasms by Flow Cytometry.

Multiparameter flow cytometry is essential for diagnosing mature B-cell lymphomas, yet analysis remains largely manual, time-consuming, and subject to inter-operator variability. We developed an automated system for B-cell neoplasm detection using a three-stage deep learning architecture that produces interpretable int...

S. Chalise, Mikhail Roshal, Qi Gao et al. · 0 citations

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