Author

V. Lupianhez

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· 1

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Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

D. A. Sarti· 1 shared D. Lautenschalaeger· 1 shared F. Palma· 1 shared H. Kalvan· 1 shared J. C. Pires· 1 shared J. Wagner· 1 shared L. C. Bertomeu· 1 shared M. F. Giachini· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPharmacology & Toxicology

D. A. Sarti

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1 paper

Recent·Most cited

INTERPRETABLE MACHINE LEARNING UNVEILS KEY PREDICTORS AND DEFAULT VALUES IN AN EXPANDED DATABASE OF HUMAN IN VITRO DERMAL ABSORPTION STUDIES WITH PESTICIDES

D. A. Sarti, J. Wagner, F. Palma, H. Kalvan, M. F. Giachini, D. Lautenschalaeger, V. Lupianhez, J. C. Pires, M. Sales, P. M. de Faria, L. C. Bertomeu, M. Le Bras

This paper uses interpretable machine learning to identify key predictors and establish default dermal absorption values for pesticides based on in vitro human skin studies.

bioRxiv · May 11, 2023Pharmacology & Toxicology