Brian Piening
According to our database1,
Brian Piening
authored at least 7 papers
between 2021 and 2023.
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Bibliography
2023
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision.
Patterns, April, 2023
Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer.
CoRR, 2023
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models.
CoRR, 2023
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.
CoRR, 2023
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.
Proceedings of the Machine Learning for Healthcare Conference, 2023
2022
Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision.
CoRR, 2022
2021
Nucleic Acids Res., 2021