Infectious Disease

In vitro and in vivo analysis of the anti-plasmodial activity of ethanol extract of W. Bull leaf.

Antimalarial agents are necessary tools in the global malaria eradication agenda and plants used traditionally in the treatment of malaria are indispensable sources of antimalarial compounds. The aim of this study was to evaluate the antiplasmodial potential of leaf. In vitro antiplasmodial assay was conducted using infected erythrocytes incubated at 37 °C in modified RPMI 1640 culture media. Th...

Artificial Intelligence, Radiology, and Tuberculosis: A Review.

Tuberculosis is a leading cause of death from infectious disease worldwide, and is an epidemic in many developing nations. Countries where the disease is common also tend to have poor access to medical care, including diagnostic tests. Recent advancements in artificial intelligence may help to bridge this gap. In this article, we review the applications of artificial intelligence in the diagnosis ...

Exploiting open source 3D printer architecture for laboratory robotics to automate high-throughput time-lapse imaging for analytical microbiology.

Growth in open-source hardware designs combined with the low-cost of high performance optoelectronic and robotics components has supported a resurgenc...

Effect of bacterial endotoxin lipopolysaccharide treatment on duck Leydig cells.

This study aimed to investigate the effects of bacterial endotoxin lipopolysaccharide (LPS) on hormone production and gene expression in duck Leydig c...

as Inhibitor of Quorum Sensing System and Biofilm Forming Ability of .

Endophytic fungi provide rich reservoir for novel antimicrobial compounds. An endophytic fungus, from plant identified as , was investigated for atte...

A genetic programming-based approach to identify potential inhibitors of serine protease of .

We applied genetic programming approaches to understand the impact of descriptors on inhibitory effects of serine protease inhibitors of () and the ...

impairs and mixed biofilm formation .

(CC), an Indonesian functional food, utilizes the bioactivity of essential oil (MCEO) to maintain oral cavity health. Synergistic interaction betwee...

Antibacterial Activity of Lidah Mertua ( Prain.) Leaves Extract on and .

BACKGROUND: Infection is the most common diseases in developing country, including Indonesia. Bacteria that often causes infection is and . One of th...

Investigating potato late blight physiological differences across potato cultivars with spectroscopy and machine learning.

Understanding plant disease resistance is important in the integrated management of Phytophthora infestans, causal agent of potato late blight. Advanc...

Effects of multi-strain probiotic supplementation on intestinal microbiota, tight junctions, and inflammation in young broiler chickens challenged with Salmonella enterica subsp. enterica.

OBJECTIVE: This study assessed the effects of probiotics on cecal microbiota, gene expression of intestinal tight junction proteins, and immune respon...

Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries.

BACKGROUND AND OBJECTIVE: Streptococcus mutans is the primary initiator and most common organism associated with dental caries. Prediction of post-Str...

Identifying predictors of antimicrobial exposure in hospitalized patients using a machine learning approach.

AIMS: Analysis and tracking of antimicrobial utilization (AU) are crucial in antimicrobial stewardship efforts which are used to find effective interv...

In-vitro evaluation of antimicrobial and insect repellent potential of supercritical-carbon dioxide (SCF-CO) extracts of selected botanicals against stored product pests and foodborne pathogens.

In the present study, the antimicrobial and the insect repellent activity of 16 botanical extracts obtained by supercritical CO (SCF) extraction were ...

An agent-based lattice model for the emergence of anti-microbial resistance.

This work introduces a new probabilistic agent-based lattice model for studying the emergence of anti-microbial resistance (AMR) and proposes a new pr...

Quantitative analysis of yeast fermentation process using Raman spectroscopy: Comparison of CARS and VCPA for variable selection.

Yeast is one of the most widely used microbial species in the field of microbiology, and it is crucial that rapid and accurate monitoring of its proce...

Antibacterial and Antibiofilm Activities of Ceragenins against Clinical Isolates.

OBJECTIVES: can cause life-threatening infections that are difficult to treat due to its high resistance to antibiotics and its ability to form antib...

Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model.

The aim of this study was to identify a combination of early predictive symptoms/sensations attributable to primary lung cancer (LC). An interactive e...

Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction.

The ability of multitask learning promulgated its sovereignty in the machine learning field with the diversified application including but not limited...

Peptide arrays incubated with three collections of human sera from patients infected with mosquito-borne viruses.

Global outbreaks caused by emerging or re-emerging arthropod-borne viruses (arboviruses) are becoming increasingly more common. These pathogens inclu...

Object detection and recognition: using deep learning to assist the visually impaired.

BACKGROUND: Deep learning systems have improved performance of devices through more accurate object detection in a significant number of areas, for me...