Infectious Disease

Applied immunoinformatics in modern vaccine design: a comprehensive review of available computational tools.

The rapid evolution of computational biology has transformed vaccine design from a largely empirical...

Specific diagnostic model for bacterial pneumonia constructed by combining multiple omics and multi machine learning models.

Due to the difficulty in quickly discriminating bacterial pneumonia (BPs) from pneumonia caused by o...

Metabolic engineering of microorganisms for the valorization of C2 feedstocks.

This review summarizes recent advances in the metabolic engineering of microorganisms for the valori...

Harnessing artificial intelligence for antimicrobial discovery and optimization.

The rise of antimicrobial-resistant pathogens has outpaced the traditional methods of drug discovery...

Antiviral drug discovery and development: challenges and future directions.

The coronavirus disease 2019 (COVID-19) pandemic has stimulated extensive endeavors toward the devel...

Integrated virtual screening, machine learning and molecular dynamics identify novel phytochemical FabI inhibitors against MRSA.

Methicillin-resistant Staphylococcus aureus (MRSA) infections pose a critical global health threat, ...

A Surface-Enhanced Raman Scattering-Digital Microfluidics Biosensing Platform Integrated with a 1D-Convolutional Neural Network for Noninvasive Detection of Inflammation Markers.

The noninvasive detection of multiple inflammatory markers (IMs) for early sepsis diagnosis is chall...

Beyond pre-travel risk assessment: machine learning for clinical diagnosis in returned travellers.

Machine learning (ML) applications in post-travel clinical care remain limited. ML-based models show...

Predicting low oxygen in patients with acute COVID-19 infection isolating at home: a clinical prediction model.

RATIONALE: Identifying patients who could be safely managed at home versus those needing hospitalisa...

Survey on mathematical modeling of infectious disease dynamics: insights and applications.

Mathematical modeling has become an indispensable tool for understanding, predicting, and controllin...

Fractional order modeling of hepatitis C transmission dynamics with physics-informed neural network solutions.

The rise of artificial intelligence in respiratory primary care and pulmonology: a scoping review.

Artificial intelligence (AI) is rapidly advancing respiratory disease management, from diagnosis to ...

Label-free saliva screening platform using M13 bacteriophage-based 3D plasmonic structures for MRONJ diagnosis.

Medication-related osteonecrosis of the jaw (MRONJ) is a severe complication associated with antires...

Toxoplasma gondii infection in wildlife in China (1985-2024): A systematic review and meta-analysis with machine learning.

The globally distributed zoonotic protozoan parasite Toxoplasma gondii presents escalating conservat...

Long-term capsaicin intake and gut inflammation: microbial alterations, metabolic mechanisms, and intervention effects.

The effects of capsaicin consumption on gut health and its mechanisms remain uncharacterized. This s...

PeptideNet: An Integrative Deep Learning Framework for Predicting Diverse Bioactive Peptides Using Protein Language Model Embeddings.

Bioactive peptides are multifunctional biomolecules composed of short amino acid sequences that exhi...

Label-Free Differentiation of Antimicrobial Resistance Groups Using Raman Spectroscopy.

Increasing antimicrobial resistance (AMR) has developed into an enormous health burden. Here, a syst...

Hierarchical Channeled Graphitized Nanoarchitecture as a Diagnostic Platform for Maternal Fever Warning.

The precision and effectiveness of nano-diagnostic platforms rely on the deliberate design of advanc...

Plant Peptides on the Rise: From Historical Insight to Future Applications.

Plant peptides constitute a rapidly expanding class of signalling molecules essential to plant physi...

Flexible Organic Clip as an Adapter to Enhance Host-Guest Nanopore Single-Molecule Sensing.

The host-guest nanopore analysis method provided an avenue for hydrophobic analytes detection. Howev...

A novel transformer-based platform for the prediction and design of biosynthetic gene clusters for (un)natural products.

Biosynthetic gene clusters (BGCs), comprising sets of functionally related genes responsible for syn...