Infectious Disease

Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids.

UNLABELLED: Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth...

Lipid discovery enabled by sequence statistics and machine learning.

Bacterial membranes are complex and dynamic, arising from an array of evolutionary pressures. One en...

Prevalence of fungal colonization among patients with psoriasis in difficult-to-treat areas: impact of apremilast on mycotic burden and clinical outcomes.

INTRODUCTION: Fungi, including , may be a trigger or exacerbate psoriasis, especially in difficult t...

DMAMP: A Deep-Learning Model for Detecting Antimicrobial Peptides and Their Multi-Activities.

Due to the broad-spectrum and high-efficiency antibacterial activity, antimicrobial peptides (AMPs) ...

Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning.

Tuberculosis has plagued mankind since ancient times, and the struggle between humans and tuberculos...

Machine Learning-Assisted High-Throughput Screening for Anti-MRSA Compounds.

BACKGROUND: Antimicrobial resistance is a major public health threat, and new agents are needed. Com...

Generative Adversarial Network-Based Augmentation With Noval 2-Step Authentication for Anti-Coronavirus Peptide Prediction.

The virus poses a longstanding and enduring danger to various forms of life. Despite the ongoing end...

An explainable deep learning platform for molecular discovery.

Deep learning approaches have been increasingly applied to the discovery of novel chemical compounds...

Schistosomiasis transmission: A machine learning analysis reveals the importance of agrochemicals on snail abundance in Rwanda.

BACKGROUND: Schistosomiasis is an important snail-borne parasitic disease whose transmission is exac...

Comparative study of DCNN and image processing based classification of chest X-rays for identification of COVID-19 patients using fine-tuning.

The conventional detection of COVID-19 by evaluating the CT scan images is tiresome, often experienc...

Antimycobacterial and Antifungal Activities of Leaf Extracts From .

The global problem of infectious and deadly diseases caused by microbes such as candida and mycobact...

Combined effect of Tetracycline compounds and essential oils on antimicrobial resistant isolated from the swine food chain.

Antimicrobial resistance (AMR) poses risks for food stakeholders because of the spread of resistant ...

Editorial: Systems immunology to advance vaccine development.

Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review.

BACKGROUND AND AIM: Neurodegenerative disorders (e.g., Alzheimer's, Parkinson's) lead to neuronal lo...

The isolation, bioactivity, and synthesis of natural products from with anti-HIV activities.

Natural products isolated from have attracted considerable attention from the chemical community du...

Machine learning-enhanced assessment of potential probiotics from healthy calves for the treatment of neonatal calf diarrhea.

Neonatal calf diarrhea (NCD) remains a significant contributor to calf mortality within the first 3 ...

Genomic analysis, culturing optimization, and characterization of bacteriophage OSYSP, previously studied as effective pathogen control on fresh produce.

Advances in bacteriophage genome sequencing and regulatory approvals of some bacteriophages in vario...

Chemical composition, antimicrobial, and antioxidant properties of essential oils from asso. and caball. from Morocco: and evaluation.

INTRODUCTION: Morocco is home to a remarkable diversity of flora, including several species from the...

A novel approach to antimicrobial resistance: Machine learning predictions for carbapenem-resistant Klebsiella in intensive care units.

This study was conducted at Kocaeli University Hospital in Turkey and aimed to predict carbapenem-re...

VaxOptiML: leveraging machine learning for accurate prediction of MHC-I and II epitopes for optimized cancer immunotherapy.

Cancer immunotherapy hinges on accurate epitope prediction for advancing vaccine development. VaxOpt...

Deciphering the climate-malaria nexus: A machine learning approach in rural southeastern Tanzania.

OBJECTIVES: Malaria remains a critical public health challenge, especially in regions like southeast...