Infectious Disease

Machine learning for early detection and prediction of sepsis: explainability and key sepsis biomarkers representation-A systematic review.

OBJECTIVE: To systematically review machine learning-based sepsis prediction studies, examining mode...

S3F-Net: A Multi-Modal Approach to Medical Image Classification via Spatial-Spectral Summarizer Fusion Network.

Convolutional Neural Networks (CNNs) have become a cornerstone of medical image analysis due to thei...

Mechanistic Design of Graphdiyne-Based Multimodal Sensing Integrating Machine Learning and Photothermal Dynamics for Precision Recognition and On-Demand Inactivation.

Rapid and accurate detection of pathogenic bacteria remains essential for infection control and time...

Evaluating Public Sentiment on Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Compared With Other Mental Health Disorders From Posts on X (Formerly Known as Twitter): Longitudinal Analysis.

BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD)...

K-STAMM: a knowledge-enhanced spatial - temporal attention model with multimodal fusion for pneumonia prediction.

Precise prediction of pneumonia remains a challenge mainly because effective integration of clinical...

Machine learning prediction of antibiotic resistance in Gram-negative pneumonia: a clinical-genomic integrated model.

Comparative evaluation of machine learning models for predicting COVID-19 vaccine uptake in U.S. adults.

An interpretable deep learning framework for predictive modeling of postoperative infections in ICU patients.

A significant proportion of intensive care unit (ICU) patients undergo surgical procedures, and some...

Valorization of turkey cruor through peptic hydrolysis: peptidomic and machine learning approaches for the identification of antimicrobial peptides.

The slaughterhouse blood remains an underexploited by-product with promising potential for producing...

Ischaemia in tuberculous meningitis: update on pathophysiology, clinical predictors and management.

PURPOSE OF REVIEW: Tuberculous meningitis (TBM) is a severe manifestation of Mycobacterium tuberculo...

Simulation-based inference captures non-Markovian effects as exemplified in protein production kinetics through cell division.

Inferring protein production kinetics in dividing cells is complicated by protein inheritance from t...

Parent Questions About Childhood Hearing Loss: An Evaluation of ChatGPT Response Accuracy, Completeness, and Repeatability.

PURPOSE: We aimed to assess the responses to parent questions about childhood hearing loss that were...

MosQNet-SA: Explainable convolutional-attention network for mosquito classification with application as a RESTful API for dengue and malaria risk mapping.

Mosquito-borne diseases represent a significant global health challenge. Over 700,000 people succumb...

Deep learning analysis of sugar beet (Beta vulgaris ssp vulgaris) protease inhibitors interacting with identified trypsins from its primary pathogen, the sugar beet root maggot Tetanops myopaeformis.

Beta vulgaris ssp. vulgaris (sugar beet) is one of two plants globally from which sugar is widely pr...

Deep learning-enabled scaffolding of spatial arrays of PfCSP epitopes.

Malaria is a leading cause of disease in developing countries. The licensed malaria vaccine RTS,S/AS...

Infectious medical waste characterization using X-ray transmission with Machine learning.

In Germany, around 425,400 Mg of specially healthcare-related waste is generated annually, of which ...

Antimicrobial peptides in malaria and tuberculosis management: a systematic review of emerging evidence.

AMPs (Antimicrobial peptides) are small molecules that are crucial components of biological activiti...

irAE-GPT: leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasets.

BACKGROUND: Large language models (LLMs) have emerged as transformative technologies, revolutionisin...

SDS-CRISPR for Single-Nucleotide Variant Detection.

The CRISPR-Cas12a system offers a promising platform for simple and sensitive nucleic acid diagnosti...

Comparison of Artificial Intelligence Tools With Human Coding for Sentiment, Topic, and Thematic Analysis Tasks of Public Health Datasets During the COVID-19 Pandemic in Australia: Case Study.

BACKGROUND: Public opinion, which may be influenced by personal experiences, news, and social media,...

How Well Can AI and Physics-Based Simulations Predict the Probability a Cryptic Pocket Is Open?

Identifying and understanding cryptic pockets remains a compelling goal in drug discovery, as they c...