Sarah Dudgeon

Contributions

Selected publications, public tooling and talks. The full list of publications lives on my NCBI bibliography.

Selected publications

  1. Feature Selection with Quantum Annealing for Biomedical Machine Learning Applications

    Dudgeon SN, Lee SJ, Durant TJS, et al. medRxiv, 2026.

    doi:10.64898/2026.07.02.26357174

  2. Quantum Machine Learning and Data Re-Uploading: Evaluation on Benchmark and Laboratory Medicine Data Sets

    Durant TJS, Lee SJ, Dudgeon SN, et al. Clinical Chemistry 72(4):451-460, 2026.

    doi:10.1093/clinchem/hvaf192

  3. Nasal Biomarker Testing to Rule Out Viral Respiratory Infection and Triage Samples: A Test Performance Study

    Amat JAR, Dudgeon SN, Cheemarla NR, et al. EBioMedicine 117, 2025.

    doi:10.1016/j.ebiom.2025.105820

  4. Graph Networks and Quantum AI/ML for Real World Evidence Generation

    Dudgeon SN. Doctoral dissertation, Yale University, 2024.

  5. From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights

    Hänsel K, Dudgeon SN, Cheung KH, Durant TJS, Schulz WL. Journal of Medical Systems 47(1):65, 2023.

    doi:10.1007/s10916-023-01951-2

  6. Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes

    Durant TJS, Dudgeon SN, McPadden J, et al. Clinical Chemistry 68(1):218-229, 2022.

    doi:10.1093/clinchem/hvab237

  7. Pilot Study to Evaluate Tools to Collect Pathologist Annotations for Validating Machine Learning Algorithms

    Elfer KN, Dudgeon SN, Garcia V, et al. Journal of Medical Imaging 9(4):47501, 2022.

    doi:10.1117/1.JMI.9.4.047501

  8. A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study

    Dudgeon SN, Wen S, Hanna MG, et al. Journal of Pathology Informatics 12(1):45, 2021.

    doi:10.4103/jpi.jpi_83_20

  9. Report on Computational Assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

    Amgad M, Stovgaard ES, ..., Dudgeon SN, et al. NPJ Breast Cancer 6(1):16, 2020. 205 citations

    doi:10.1038/s41523-020-0154-2

Full publication list →

Public tooling

High Throughput Truthing Project

2020

U.S. Food and Drug Administration

An FDA Medical Device Development Tool. A process for constructing representative image datasets to validate clinical computer vision models, published with proposed analytical and clinical validation trial designs.

View the tool →

Talks