Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy

Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy

Prediction parameters of possible outcomes of canine leishmaniasis (CanL) therapy might help with therapeutic decisions and animal health care. Here, we aimed to develop a diagnostic method with predictive value by analyzing two groups of dogs with CanL, those that exhibited a decrease in parasite l...

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Bibliographic Details
Main Authors: Rafaela de Sousa Gonçalves, Flaviane Alves de Pinho, Ricardo Jorge Dinis-Oliveira, Rui Azevedo, Joana Gaifem, Daniela Farias Larangeira, Eduardo Milton Ramos-Sanchez, Hiro Goto, Ricardo Silvestre, Stella Maria Barrouin-Melo
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Microorganisms
Subjects:
mathematical model
treatment
hematological parameters
biochemical parameters
<i>Leishmania</i>
Online Access:https://www.mdpi.com/2076-2607/8/5/745

Internet

https://www.mdpi.com/2076-2607/8/5/745

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