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Development of a low-cost robotized 3D-prototype for automated optical microscopy diagnosis: An open-source system

PloS one, 2024-06, Vol.19 (6), p.e0304085

2024

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Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review

Frontiers in microbiology, 2022-11, Vol.13, p.1006659-1006659

2022

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iMAGING : a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope

Frontiers in microbiology, 2023, Vol.14, p.1240936-1240936

2023

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The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis

JMIR research protocols, 2017-04, Vol.6 (4), p.e70-e70

2017

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Leishmaniasis Parasite Segmentation and Classification Using Deep Learning

Articulated Motion and Deformable Objects, 2018, Vol.10945, p.53-62

2018

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An Automatic System for Computing Malaria Parasite Density in Thin Blood Films

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018, Vol.10657, p.186-193

2018

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CD5L Promotes M2 Macrophage Polarization through Autophagy-Mediated Upregulation of ID3

Frontiers in immunology, 2018-03, Vol.9, p.480-480

2018

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Local Inflammation, Dissemination and Coalescence of Lesions Are Key for the Progression toward Active Tuberculosis: The Bubble Model

Frontiers in microbiology, 2016-02, Vol.7, p.33-33

2016

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Using Mathematical Modeling to Simulate Chagas Disease Spread by Congenital and Blood Transfusion Routes

Proceedings of the 2018 International Conference on Digital Health, 2018, p.110-110

2018

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Individual-based Modelling: An Essential Tool for Microbiology

Journal of biological physics, 2008-04, Vol.34 (1-2), p.19-37

2008

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To Achieve an Earlier IFN-[gamma] Response Is Not Sufficient to Control Mycobacterium tuberculosis Infection in Mice

PloS one, 2014-06, Vol.9 (6)

2014

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Analyzing Policymaking for Tuberculosis Control in Nigeria

Complexity (New York, N.Y.), 2018-01, Vol.2018 (2018), p.1-13

2018

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Can systems immunology lead tuberculosis eradication?

Current opinion in systems biology, 2018-12, Vol.12, p.53-60

2018

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Congenital and Blood Transfusion Transmission of Chagas Disease: A Framework Using Mathematical Modeling

Complexity (New York, N.Y.), 2018-01, Vol.2018 (2018), p.1-10

2018

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Individual-Based Modeling of Tuberculosis in a User-Friendly Interface: Understanding the Epidemiological Role of Population Heterogeneity in a City

Frontiers in microbiology, 2016-01, Vol.6, p.1564-1564

2016

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Analysis and IbM simulation of the stages in bacterial lag phase: Basis for an updated definition

Journal of theoretical biology, 2008-05, Vol.252 (1), p.56-68

2008

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Low dose aerosol fitness at the innate phase of murine infection better predicts virulence amongst clinical strains of Mycobacterium tuberculosis

PloS one, 2012-01, Vol.7 (1), p.e29010-e29010

2012

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Thermodynamic concepts in the study of microbial populations: age structure in Plasmodium falciparum infected red blood cells

PloS one, 2011-10, Vol.6 (10), p.e26690-e26690

2011

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INDISIM, An Individual-based Discrete Simulation Model to Study Bacterial Cultures

Journal of theoretical biology, 2002-01, Vol.214 (2), p.305-319

2002

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Effect of the haematocrit layer geometry on Plasmodium falciparum static thin-layer in vitro cultures

Malaria journal, 2008-10, Vol.7 (1), p.203-203, Article 203

2008

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CD5L Drives M2 Polarization of Human Macrophages in Liver Cancer

2018

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On the evolution of cell size distribution during bacterial growth cycle: Experimental observations and individual-based model simulations

2010

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Mathematical modelling methodologies in predictive food microbiology: a SWOT analysis

2009

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Individual-based Modelling of microbial activity to study mineralization of C and N and nitrification process in soil

2005

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Individual-based modelling of bacterial cultures to study the microscopic causes of the lag phase

2006

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Development of a low-cost robotized 3D-prototype for automated optical microscopy diagnosis: An open-source system

Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review

iMAGING : a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope

The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis

Leishmaniasis Parasite Segmentation and Classification Using Deep Learning

An Automatic System for Computing Malaria Parasite Density in Thin Blood Films

CD5L Promotes M2 Macrophage Polarization through Autophagy-Mediated Upregulation of ID3

Local Inflammation, Dissemination and Coalescence of Lesions Are Key for the Progression toward Active Tuberculosis: The Bubble Model

Using Mathematical Modeling to Simulate Chagas Disease Spread by Congenital and Blood Transfusion Routes

Individual-based Modelling: An Essential Tool for Microbiology

To Achieve an Earlier IFN-[gamma] Response Is Not Sufficient to Control Mycobacterium tuberculosis Infection in Mice

Analyzing Policymaking for Tuberculosis Control in Nigeria

Can systems immunology lead tuberculosis eradication?

Congenital and Blood Transfusion Transmission of Chagas Disease: A Framework Using Mathematical Modeling

Individual-Based Modeling of Tuberculosis in a User-Friendly Interface: Understanding the Epidemiological Role of Population Heterogeneity in a City

Analysis and IbM simulation of the stages in bacterial lag phase: Basis for an updated definition

Low dose aerosol fitness at the innate phase of murine infection better predicts virulence amongst clinical strains of Mycobacterium tuberculosis

Thermodynamic concepts in the study of microbial populations: age structure in Plasmodium falciparum infected red blood cells

INDISIM, An Individual-based Discrete Simulation Model to Study Bacterial Cultures

Effect of the haematocrit layer geometry on Plasmodium falciparum static thin-layer in vitro cultures

CD5L Drives M2 Polarization of Human Macrophages in Liver Cancer

On the evolution of cell size distribution during bacterial growth cycle: Experimental observations and individual-based model simulations

Mathematical modelling methodologies in predictive food microbiology: a SWOT analysis

Individual-based Modelling of microbial activity to study mineralization of C and N and nitrification process in soil

Individual-based modelling of bacterial cultures to study the microscopic causes of the lag phase

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