AIMC Topic: Plasmodium falciparum
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Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images.
Nature biomedical engineering
Jun 10, 2021
In machine learning for image-based medical diagnostics, supervised convolutional neural networks are typically trained with large and expertly annotated datasets obtained using high-resolution imaging systems. Moreover, the network's performance can...
Artificial Intelligence Applied to the Rapid Identification of New Antimalarial Candidates with Dual-Stage Activity.
ChemMedChem
Mar 16, 2021
Increasing reports of multidrug-resistant malaria parasites urge the discovery of new effective drugs with different chemical scaffolds. Protein kinases play a key role in many cellular processes such as signal transduction and cell division, making ...
DeepAlign, a 3D alignment method based on regionalized deep learning for Cryo-EM.
Journal of structural biology
Mar 4, 2021
Cryo Electron Microscopy (Cryo-EM) is currently one of the main tools to reveal the structural information of biological specimens at high resolution. Despite the great development of the techniques involved to solve the biological structures with Cr...
Predicting geographic location from genetic variation with deep neural networks.
eLife
Jun 8, 2020
Most organisms are more closely related to nearby than distant members of their species, creating spatial autocorrelations in genetic data. This allows us to predict the location of origin of a genetic sample by comparing it to a set of samples of kn...
Machine learning analysis plans for randomised controlled trials: detecting treatment effect heterogeneity with strict control of type I error.
Trials
Feb 10, 2020
BACKGROUND: Retrospective exploratory analyses of randomised controlled trials (RCTs) seeking to identify treatment effect heterogeneity (TEH) are prone to bias and false positives. Yet the desire to learn all we can from exhaustive data measurements...
Discovery of potential 1,3,5-Triazine compounds against strains of Plasmodium falciparum using supervised machine learning models.
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Dec 25, 2019
The Malaria burden was an escalating global encumbrance and need to be addressed with critical care. Anti-malarial drug discovery was integrated with supervised machine learning (ML) models to identify potent thiazolyl-traizine derivatives. This assi...
Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis.
Malaria journal
Oct 7, 2019
BACKGROUND: Epidemiological surveys of malaria currently rely on microscopy, polymerase chain reaction assays (PCR) or rapid diagnostic test kits for Plasmodium infections (RDTs). This study investigated whether mid-infrared (MIR) spectroscopy couple...
Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears.
IEEE journal of biomedical and health informatics
Sep 23, 2019
OBJECTIVE: This work investigates the possibility of automated malaria parasite detection in thick blood smears with smartphones.
Application of molecular docking and PSO-SVR intelligent approaches in antimalarial activity prediction of enantiomeric cycloguanil analogues.
SAR and QSAR in environmental research
Nov 1, 2018
A series of antifolate compounds, i.e. 1-(4-chlorophenyl)-6,6-dimethyl-1,3,5-triazine-2,4-diamine, or cycloguanil analogues, have shown effective inhibiting properties against Plasmodium falciparum dihydrofolate reductase (PfDHFR). In this work, the ...
Tetrahydrofolate Dehydrogenase
Protein Binding
Folic Acid Antagonists
Plasmodium falciparum
Algorithms
Machine Learning
Substrate Specificity
Enzyme Inhibitors
Molecular Structure
Reproducibility of Results
Triazines
Quantitative Structure-Activity Relationship
Antimalarials
Proguanil
Molecular Docking Simulation
Stereoisomerism
Identification of a Novel Clinical Phenotype of Severe Malaria using a Network-Based Clustering Approach.
Scientific reports
Aug 27, 2018
The parasite Plasmodium falciparum is the main cause of severe malaria (SM). Despite treatment with antimalarial drugs, more than 400,000 deaths are reported every year, mainly in African children. The diversity of clinical presentations associated w...
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