Author

Amber M. Schedlbauer

Rancho BioSciences (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

Alex KadhimiD· 1 shared Anna Lobanova· 1 shared David A. LewisiD· 1 shared Emily LorenzeniD· 1 shared Jill R. GlausieriD· 1 shared Oleg V. StroganoviD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperPathology

Alex KadhimORCID

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1 paper

Recent·Most cited

PathologyBiology Methods and ProtocolsPeer-reviewedJan 1, 2024

Unpacking Unstructured Data: A Pilot Study on Extracting Insights from Neuropathological Reports of Parkinson's Disease Patients using Large Language Models

Oleg V. Stroganov, Amber M. Schedlbauer, Emily Lorenzen…·Jill R. Glausier

This study uses large language models to structure unstructured neuropathological reports from Parkinson's disease patients, improving data consistency and enabling integration with clinical and genetic data.

20 citations

humanclinical cohort / trial

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