Latest AI and machine learning research in infectious disease for healthcare professionals.
Machine learning techniques have been widely used in drug discovery and development in the areas of cheminformatics. Aspartyl aminopeptidase (M18AAP) of Plasmodium falciparum is crucial for survival of malaria parasite. We have created predictive models using weka and evaluated their performance based on various statistical parameters. Random Forest based model was found to be the most specificity...
BACKGROUND: It is unclear whether intensification of standard highly active antiretroviral therapy (HAART) with entry and integrase inhibitors during acute HIV infection (AHI) could yield greater benefits in reducing markers for HIV reservoir size and immune activation.
There is a growing need to identify new, broad-spectrum antibiotics. The natural product spergualin was previously shown to have promising anti-bacter...
A statistical machine learning indicator, ACOustic, is proposed to evaluate the exploration behavior in the iterations of ant colony optimization algo...
BACKGROUND: One of the major concerns of the biomedical community is the increasing prevalence of antimicrobial resistant microorganisms. Recent findi...
As the number of sequenced bacterial genomes increases, the need for rapid and reliable tools for the annotation of functional elements (e.g., transcr...
Identification of transcription units (TUs) encoded in a bacterial genome is essential to elucidation of transcriptional regulation of the organism. T...
Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. Thes...
The evaluation of the leishmanicidal and trypanocidal activity of the hydroalcoholic extract of the bark of Mart. (EHCSR) was carried out to find an ...
Support vector machines are a popular machine learning method for many classification tasks in biology and chemistry. In addition, the support vector ...
Accurate incidence forecasting of infectious disease provides potentially valuable insights in its own right. It is critical for early prevention and ...
BACKGROUND: Ontology-based enrichment analysis aids in the interpretation and understanding of large-scale biological data. Ontologies are hierarchies...
Staphylococcus aureus (S. aureus) is a prominent human and livestock pathogen investigated widely using omic technologies. Critically, due to availabi...
The compound 4-(Phenylsulfonyl) morpholine belongs to the class of sulfonamides, which are widely used in the treatment of a large number of diseases ...
BACKGROUND: Ontologies represent powerful tools in information technology because they enhance interoperability and facilitate, among other things, th...
During the past several decades, Escherichia coli has been a treasure chest for molecular biology. The molecular mechanisms of many fundamental cellul...
This work aimed to compare the predictive capacity of empirical models, based on the uniform design utilization combined to artificial neural networks...
A new automated pharmacoanalytical technique for convenient quantification of redox-active antibiotics has been established by combining the benefits ...
BACKGROUND: microRNAs (miRNAs) play a vital role in development, oncogenesis, and apoptosis by binding to mRNAs to regulate the posttranscriptional le...
Candida albicans has become resistant to the commercially available, toxic, and expensive anti-Candida agents that are on the market. These factors fo...