Infectious Disease

Nanotrap-AI Integration Enables Ultra-Sensitive Point-of-Care HIV Testing.

Early HIV detection using noninvasive samples remains challenging because oral fluid contains extrem...

Scenario-based evaluation of large language models for reference accuracy in dermatology: literature retrieval on latent tuberculosis in psoriasis patients on anti-IL-17/23 therapy.

BACKGROUND: Large language models (LLMs) could accelerate clinical literature searches, but their re...

Tuberculosis Disease Severity Assessment Using Clinical Variables and Radiology Enabled by Artificial Intelligence.

BACKGROUND: Chest X-ray (CXR) can assess pulmonary tuberculosis (TB) severity and may guide duration...

Competing gene regulatory networks drive naive and memory B cell differentiation.

Elucidating the gene regulatory networks (GRNs) that control human B cell differentiation is crucial...

Revisiting co-expression-based automated function prediction in yeast with neural networks and updated Gene Ontology annotations.

Automated function prediction (AFP) is the process of predicting the function of genes or proteins w...

upsML: A high-accuracy machine learning classifier for predicting Plasmodium falciparum var gene upstream groups.

Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1), encoded by the hypervariable var gene...

A review of traditional uses, phytoconstituents, bioactivities, and therapeutic potential of Hypecoum erectum L. and Hypecoum leptocarpum Hook.f. & Thomson.

ETHNOPHARMACOLOGICAL RELEVANCE: Hypecoi Erecti Herba, derived from plants of the genus Hypecoum (Pap...

AI-enabled autonomous UV-C device pathogen reduction within clinically relevant parameters.

Wall-mounted UV-C disinfection systems present a promising alternative to robotic approaches for pat...

Machine learning-based prediction of multi-level antimicrobial resistance in Klebsiella pneumoniae using whole-genome sequencing data.

OBJECTIVES: In this study, we developed an integrated approach for accurate and comprehensive predic...

Construction and interpretability evaluation of a prediction model for radiographic pneumonia in children at outpatient and emergency departments.

BACKGROUND: Radiographic confirmation is crucial for pediatric pneumonia diagnosis, but chest X-ray ...

Dataset of manually curated peptides against arthropod-borne viruses.

Anti-arboviral peptides are biomolecules capable of interfering with key stages of the arboviral lif...

Serum mass spectral fingerprints with machine learning for early discrimination of infectious pneumonia in the emergency department.

Deep Learning-Enhanced DNAzyme-Driven Rolling-Circle Amplification Encoding for Multibacterial Detection.

Food-borne outbreaks are frequently caused by multiple live pathogens that conventional methods cann...

Targeted Surface-Enhanced Raman Scattering for Highly Accurate Identification of Bacterial Species and Finding Spectral Signatures with Explainable Artificial Intelligence.

The analysis of complex Raman spectra from biological samples has traditionally relied on convention...

Artificial allosteric protein switches with machine-learning-designed receptors.

Protein allostery underlies most information and energy processing in biology and the development of...

Thermo-Sensitive Polymeric Networks for Next-Generation Wound Management: A Review.

Wound healing is a dynamic and highly coordinated biological process involving hemostasis, inflammat...

Leveraging the lipoprotein trafficking pathway for the development of novel antimicrobials.

Antimicrobial resistance continues to limit the number of effective antimicrobials to treat bacteria...

Predicting Postoperative Outcomes in Pediatric Ureteroscopy Using Machine Learning and Explainable AI-EAU Endourology Vision-AI Study.

AIM OF THE STUDY: This study aimed to evaluate the performance of machine learning (ML) algorithms i...

The promise of injectable hydrogels in dental bone regeneration.

Injectable hydrogels are considered to be a minimally invasive approach for the regeneration of the ...

Motion-Steered Noise Management in Hearing Aids Reduces Listening Effort and Stress Indexed by Pupil Size and Heart Rate.

OBJECTIVES: Head and body movements influence real-world hearing outcomes, yet they are often overlo...

Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns.

Cells can adapt to various environments by changing their biomolecular profiles while maintaining ph...