Infectious Disease

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor.

Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelec...

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal...

Characterizing ssRNA and dsRNA electrophoretic behavior: empirical insights with neural network-aided predictions.

RNA-based therapeutics are currently at the forefront of the biopharmaceutical industry because of t...

Reflection-Enhanced Raman Identification of Single Bacterial Cells Patterned Using Capillary Assembly.

Raman spectroscopy is an enticing tool for the rapid identification of pathogenic bacteria and has t...

Re: Neural Networks for Predicting and Classifying Antimicrobial Resistance Sequences in Porphyromonas gingivalis.

Revolutionizing CRISPR technology with artificial intelligence.

Genome engineering has made remarkable strides, evolving from DNA-binding proteins such as zinc fing...

Integrative network pharmacology and multi-omics reveal anisodamine hydrobromide's multi-target mechanisms in sepsis.

Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific...

Retrospective study of onychomycosis patients treated with ciclopirox 8% HPCH and oral antifungals applying artificial intelligence to electronic health records.

We conducted a multicenter retrospective analysis of 408 patients diagnosed with onychomycosis who a...

Evaluating the Performance of State-of-the-Art Artificial Intelligence Chatbots Based on the WHO Global Guidelines for the Prevention of Surgical Site Infection: Cross-Sectional Study.

BACKGROUND: Surgical site infection (SSI) is the most prevalent type of health care-associated infec...

Multitask deep learning for the emulation and calibration of an agent-based malaria transmission model.

Agent-based models of malaria transmission are useful tools for understanding disease dynamics and p...

Digital Therapeutics in Cardiovascular Healthcare: A Narrative Review.

The rapid development of digital therapeutics (DTx) presents opportunities for cardiovascular diseas...

Metagenomic estimation of absolute bacterial biomass in the mammalian gut through host-derived read normalization.

Absolute bacterial biomass estimation in the human gut is crucial for understanding microbiome dynam...

β-lactam resistance: epidemiological trends, molecular drivers, and innovative control strategies in the post-pandemic era.

SUMMARY () is a major human pathogen that can cause severe diseases such as meningitis and bacteremi...

Extracting antibiotic susceptibility from free-text microbiology reports using natural language processing.

There is a clinical need to appropriately apply large language model (LLM)-based systems for use in ...

Longitudinal single-cell RNA model aids prediction of EGFR-TKI resistance.

Resistance is inevitable and a major challenge in treating Lung adenocarcinoma (LUAD) patients with ...

From Data to Decisions: Leveraging Large, Real-World Databases to Guide Clinical Practice in Infections.

A hybrid supervised and unsupervised machine learning approach for identifying nucleoside drugs using nanopore readouts.

Nucleoside drugs, mimics of natural nucleosides, have become cornerstone treatments in clinical appr...

Structure-based virtual screening, molecular docking, and MD simulation studies: An in-silico approach for identifying potential MBL inhibitors.

The global rise of antibiotic-resistant infections has been driven in part by the spread of bacteria...

Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis.

Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is o...

AI-Assisted Detection of Intracellular Bacteria in Peripheral Blood Granulocytes: A Case Report.

Identifying intracellular bacteria in peripheral blood smears is of utmost importance for diagnosing...

WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules.

Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneum...