Author

Vijay D. Ivaturi

ORCID 0000-0002-6433-1154Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pharmacology & Toxicology· 1

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Approach:deep learning· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Carl Julius MartenseniD· 1 shared Niklas KorsboiD· 1 shared Sebastian SägeriD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperPharmacology & Toxicology

Carl Julius MartensenORCID

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1 paper

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintJun 17, 2024

Data-Driven Discovery of Feedback Mechanisms in Acute Myeloid Leukaemia: Alternatives to classical models using Deep Nonlinear Mixed Effect modeling and Symbolic Regression

Carl Julius Martensen, Niklas Korsbo, Vijay D. Ivaturi, Sebastian Säger

This paper introduces a method combining DeepNLME and symbolic regression to discover feedback mechanisms in acute myeloid leukaemia using longitudinal data, outperforming baseline models.

3 citations

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