Infectious Disease

Integration of single-cell and bulk transcriptomics with machine learning identifies LDHA as a lactate-related diagnostic and prognostic biomarker in sepsis.

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

Mathematical modeling has become an indispensable tool for understanding, predicting, and controlling the spread of infectious diseases. Over the years, a wide variety of models have been developed to analyze disease dynamics and forecast epidemic trajectories. Deterministic and stochastic frameworks provide quantitative insights into transmission mechanisms and allow for rigorous evaluation of pu...

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

Simulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks.

BACKGROUND: Real-world evaluation of large language models (LLMs) as clinical diagnostic aids is limited by the reliance on static vignettes and retro...

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 population lung health. This scoping review synthe...

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 antiresorptive or antiangiogenic agents, often leading to...

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 conservation and public health challenges through expanding...

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 study integrated human cohort and colonic simulatio...

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 exhibit diverse biological activities, including antio...

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

Increasing antimicrobial resistance (AMR) has developed into an enormous health burden. Here, a systematic investigation was conducted to evaluate the...

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 advanced nanomaterials, aiming to address the clinical c...

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

Plant peptides constitute a rapidly expanding class of signalling molecules essential to plant physiology, mediating key processes such as development...

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. However, the fixed cavity of conventional rigid hosts r...

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 synthesizing complex natural products, are a rich sou...

Designing an explainable algorithm based on XGBoost and genetic algorithm for predicting hospitalization needs of COVID-19 patients.

Timely identification of COVID-19 outpatients who are at risk of hospitalization is critical for preventing clinical deterioration and optimizing heal...

A clinically interpretable prediction model for acute mortality in patients with pneumonia requiring mechanical ventilation.

Implications of cytokines in Memory B cell for risk stratification and therapeutic framework construction among Pediatric Influenza patents: insights from machine learning and multi-omics.

OBJECTIVE: Cytokine storm and dysregulation of Memory B cell aggravate the symptoms and weaken the therapeutic effectiveness for Pediatric Influenza(P...

A novel framework integrating a coupled mixing rule with deep learning for toxicity prediction and environmental risk assessment of antibiotic mixtures.

Co-exposure of multiple antibiotics in the environment is widespread, and accurate prediction of antibiotic mixture toxicity is essential for ecologic...

Explainable machine learning framework for the molecular classification of triple negative breast cancer.

BACKGROUND AND OBJECTIVE: The difference in molecular characteristics of Triple negative breast cancer (TNBC) aids in distinguishing between its four ...

Advances in chromatography for biomacromolecules and bioparticles (2019-2024): Focus on materials and industrial applications.

Chromatographic technology is the core of downstream separation and purification of biological macromolecules and bioparticles. In recent years, with ...