Trypanosoma cruzi - AI Medical Compendium

Weighted-VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection.

PloS one Mar 24, 2025

Chagas disease (CD), caused by the protozoan parasite Trypanosoma cruzi (T. cruzi), represents a major public health concern in most of the American continent and causes 12,000 deaths every year. CD clinically manifests in two phases (acute and chron...

Echocardiography Deep Learning Humans Animals Disease Models, Animal Trypanosoma cruzi Chagas Disease Mice Electrocardiography

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Automated identification of Chagas disease vectors using AlexNet pre-trained convolutional neural networks.

Medical and veterinary entomology Dec 13, 2024

The 158 bug species that make up the subfamily Triatominae are the potential vectors of Trypanosoma cruzi, the etiological agent of Chagas disease. Despite recent progress in developing a picture-based automated system for identification of triatomin...

Trypanosoma cruzi Chagas Disease Triatominae Rhodnius Deep Learning Insect Vectors Convolutional Neural Networks Neural Networks, Computer Animals

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Machine-learning model led design to experimentally test species thermal limits: The case of kissing bugs (Triatominae).

PLoS neglected tropical diseases Mar 8, 2021

Species Distribution Modelling (SDM) determines habitat suitability of a species across geographic areas using macro-climatic variables; however, micro-habitats can buffer or exacerbate the influence of macro-climatic variables, requiring links betwe...

Trypanosoma cruzi Chagas Disease Animals Models, Biological Triatominae Panstrongylus Rhodnius Insect Vectors Microclimate Machine Learning

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Quantitative Structure-Activity Relationships for Structurally Diverse Chemotypes Having Anti- Activity.

International journal of molecular sciences Jun 8, 2019

Small-molecule compounds that have promising activity against macromolecular targets from occasionally fail when tested in whole-cell phenotypic assays. This outcome can be attributed to many factors, including inadequate physicochemical and pharmac...

Machine Learning Quantitative Structure-Activity Relationship Trypanocidal Agents Trypanosoma cruzi

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Novel Imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxides as antiproliferative trypanosoma cruzi drugs: Computational screening from neural network, synthesis and in vivo biological properties.

European journal of medicinal chemistry May 1, 2017

A new family of imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxide with antiproliferative Trypanosoma cruzi properties was identified from a neural network model published by our group. The synthesis and evaluation of this new class of trypanocidal agents ...

Trypanosoma cruzi Thiadiazines Structure-Activity Relationship Molecular Structure Mice Cell Proliferation Dose-Response Relationship, Drug Macrophages Imidazoles Neural Networks, Computer Animals Fibroblasts

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ANTIPROTOZOAL ACTIVITY OF EXTRACTS OF (CELASTRACEAE).

African journal of traditional, complementary, and alternative medicines : AJTCAM Jul 3, 2016

BACKGROUND: Chagas disease, amebiasis, giardiasis and trichomoniasis represent a serious health problem in Latin America. The drugs employed to treat these illnesses produce important side effects and resistant strains have appeared. The present stud...

Celastraceae Trypanosoma cruzi Plant Roots Plant Leaves Antiprotozoal Agents Entamoeba histolytica Plant Extracts Parasitic Sensitivity Tests Plant Bark Mexico Giardia lamblia

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Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery.

PLoS neglected tropical diseases Jun 26, 2015

BACKGROUND: Chagas disease is a neglected tropical disease (NTD) caused by the eukaryotic parasite Trypanosoma cruzi. The current clinical and preclinical pipeline for T. cruzi is extremely sparse and lacks drug target diversity.

Genome, Protozoan Bayes Theorem Trypanosoma cruzi Humans Chagas Disease Machine Learning High-Throughput Screening Assays Drug Discovery Cell Line Mice Female Disease Models, Animal Metabolic Networks and Pathways Computational Biology Trypanocidal Agents Mice, Inbred BALB C Animals

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AIMC Topic: Trypanosoma cruzi

Weighted-VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection.

Automated identification of Chagas disease vectors using AlexNet pre-trained convolutional neural networks.

Machine-learning model led design to experimentally test species thermal limits: The case of kissing bugs (Triatominae).

Quantitative Structure-Activity Relationships for Structurally Diverse Chemotypes Having Anti- Activity.

Novel Imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxides as antiproliferative trypanosoma cruzi drugs: Computational screening from neural network, synthesis and in vivo biological properties.

ANTIPROTOZOAL ACTIVITY OF EXTRACTS OF (CELASTRACEAE).

Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery.

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AIMC Topic: Trypanosoma cruzi

Weighted-VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection.

Automated identification of Chagas disease vectors using AlexNet pre-trained convolutional neural networks.

Machine-learning model led design to experimentally test species thermal limits: The case of kissing bugs (Triatominae).

Quantitative Structure-Activity Relationships for Structurally Diverse Chemotypes Having Anti- Activity.

Novel Imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxides as antiproliferative trypanosoma cruzi drugs: Computational screening from neural network, synthesis and in vivo biological properties.

ANTIPROTOZOAL ACTIVITY OF EXTRACTS OF (CELASTRACEAE).

Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery.

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