Author

P. A. Noseworthy

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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Pharmacology & Toxicology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Assay:electronic health records· 1

Frequent Co-Authors

A. E. Levy· 2 shared C. Newton-Cheh· 2 shared K. Tarakji· 2 shared M. A. Rosenberg· 2 shared M. Biswas· 2 shared M. Chung· 2 shared R. Weber· 2 shared A. Al-jarrad· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersPharmacology & Toxicology

A. E. Levy

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Microbiome Prevents Sudden Death Through Occult Cardiac Sub-micrometastasis in Mice

S. M. M. Aalam, X. Tang, H. PS, S. M. Salem, A. Al-jarrad, P. A. Noseworthy, A. Behfar, A. Sadanandam, K. R. Kalari, P. C. Kashyap, N. Kannan

The paper shows that gut microbiota prevents sudden cardiac death in mice by suppressing occult cardiac sub-micrometastases.

bioRxiv · Jul 3, 2023 · PreprintCancer Biology

Multicenter Analysis of Dosing Protocols for Sotalol Initiation

M. Biswas, A. E. Levy, R. Weber, K. Tarakji, M. Chung, P. A. Noseworthy, C. Newton-Cheh, M. A. Rosenberg

This study analyzes dosing protocols for sotalol initiation in 213 patients, finding that dose adjustment predicts successful initiation, with several clinical factors associated with the need for adjustment.

bioRxiv · Jan 29, 2019Pharmacology & Toxicology

Applications of Machine Learning in Decision Analysis for Dose Management for Dofetilide

A. E. Levy, M. Biswas, R. Weber, K. Tarakji, M. Chung, P. A. Noseworthy, C. Newton-Cheh, M. A. Rosenberg

This study uses machine learning to analyze dose adjustment decisions for dofetilide, finding that reinforcement learning identifies patient characteristics and dosing decisions that minimize discharge failure.

bioRxiv · Jan 27, 2019Pharmacology & Toxicology