Author

V. Ivaturi

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

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Assay:clinical cohort / trial· 1 Organism:human· 1

Frequent Co-Authors

C. V. Rackauckas· 2 shared V. Dixit· 2 shared A. Noack· 1 shared A. R. Gerlach· 1 shared C. Elrod· 1 shared J. B. S. Calderon· 1 shared J. Gobburu· 1 shared J. Nyberg· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersPharmacology & Toxicology

C. V. Rackauckas

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2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintJan 25, 2021

Efficient Precision Dosing Under Estimated Uncertainties via Koopman Expectations of Bayesian Posteriors with Pumas

C. V. Rackauckas, V. Dixit, A. R. Gerlach, V. Ivaturi

The paper introduces a method using Koopman operators to efficiently compute precision dosing under Bayesian uncertainties, achieving 50x-200x speedup over Monte Carlo simulations.

DOI 10.1101/2021.01.25.428134

deep learningstatistical model

𝕏 PostBluesky

Pharmacology & ToxicologybioRxivPreprintNov 28, 2020

Accelerated Predictive Healthcare Analytics with Pumas, A High Performance Pharmaceutical Modeling and Simulation Platform

C. V. Rackauckas, Y. Ma, A. Noack…·V. Ivaturi

The paper introduces Pumas, a high-performance platform for pharmacometric modeling, showing significant performance improvements in drug development and precision medicine.

DOI 10.1101/2020.11.28.402297

humanclinical cohort / trial

𝕏 PostBluesky