Author

C. McDaniel

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

Biology Disciplines

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Bioengineering· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:behavioral assay· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

A. C. Tardo· 1 shared A. Chen· 1 shared B. A. Pataki· 1 shared C. Espino· 1 shared D. Brunner· 1 shared D. Li· 1 shared D. Perrin· 1 shared E. C. Neto· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperMicrobiology

A. C. Tardo

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2 papers

Recent·Most cited

Superior Efficacy of Combination Antibiotic Therapy versus Monotherapy in a Mouse Model of Lyme Disease

M. E. Embers, Y. Alruwaili, N. R. Hasenkampf, M. B. Jacobs, A. C. Tardo, C. McDaniel

This study shows that combination antibiotic therapy eradicates persistent Borrelia burgdorferi in mice, while monotherapy does not, suggesting potential for improved human Lyme disease treatment.

bioRxiv · Apr 25, 2023Microbiology

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge

S. K. Sieberts, J. Schaff, M. Duda, B. A. Pataki, M. Sun, P. Snyder, J.-F. Daneault, F. Parisi, G. Costante, U. Rubin, P. Banda, Y. Chae, E. C. Neto, R. Dorsey, Z. Aydın, , Omberg

The paper evaluates digital biomarkers from wearable data to predict Parkinson's disease status and symptom severity using a crowdsourced challenge.

bioRxiv · Jan 13, 2020Bioengineering