2023
Initial interactions with the FDA on developing a validation dataset as a medical device development tool
Hart S, Garcia V, Dudgeon S, Hanna M, Li X, Blenman K, Elfer K, Ly A, Salgado R, Saltz J, Gupta R, Hytopoulos E, Larsimont D, Lennerz J, Gallas B. Initial interactions with the FDA on developing a validation dataset as a medical device development tool. The Journal Of Pathology 2023, 261: 378-384. PMID: 37794720, PMCID: PMC10841854, DOI: 10.1002/path.6208.Peer-Reviewed Original ResearchFrom Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights
Hänsel K, Dudgeon S, Cheung K, Durant T, Schulz W. From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights. Journal Of Medical Systems 2023, 47: 65. PMID: 37195430, PMCID: PMC10191934, DOI: 10.1007/s10916-023-01951-2.Commentaries, Editorials and LettersConceptsKnowledge graphReal-world dataGraph modelBiomedical data integrationGraph data modelIntegrated Knowledge GraphBiomedical knowledge graphsElectronic health recordsData integrationData insightsData modelInsight generationBiomedical informationHealth recordsArt researchGraphNovel approachCombination of dataDisease phenotypingInformationPrecision medicine researchHealthcareIntegrationEHRIntriguing opportunity
2022
Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms
Elfer K, Dudgeon S, Garcia V, Blenman K, Hytopoulos E, Wen S, Li X, Ly A, Werness B, Sheth MS, Amgad M, Gupta R, Saltz J, Hanna MG, Ehinger A, Peeters D, Salgado R, Gallas BD. Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms. Journal Of Medical Imaging 2022, 9: 047501-047501. PMID: 35911208, PMCID: PMC9326105, DOI: 10.1117/1.jmi.9.4.047501.Peer-Reviewed Original Research
2021
Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes
Durant TJS, Dudgeon SN, McPadden J, Simpson A, Price N, Schulz WL, Torres R, Olson EM. Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes. Clinical Chemistry 2021, 68: 218-229. PMID: 34969114, DOI: 10.1093/clinchem/hvab237.Peer-Reviewed Original ResearchA Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study.
Dudgeon SN, Wen S, Hanna MG, Gupta R, Amgad M, Sheth M, Marble H, Huang R, Herrmann MD, Szu CH, Tong D, Werness B, Szu E, Larsimont D, Madabhushi A, Hytopoulos E, Chen W, Singh R, Hart SN, Sharma A, Saltz J, Salgado R, Gallas BD. A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study. J Pathol Inform 2021, 12: 45. PMID: 34881099, DOI: 10.4103/jpi.jpi_83_20.Peer-Reviewed Original Research