Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

8,053 articles
Stay Ahead - Weekly Infectious Disease research updates
Subscribe
Browse Categories
Showing 967-987 of 8,053 articles
Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction.

Accurately labeling large datasets is important for biomedical machine learning yet challenging whil...

Artificial intelligence-driven approaches in antibiotic stewardship programs and optimizing prescription practices: A systematic review.

Antimicrobial stewardship programs (ASPs) are essential in optimizing the use of antibiotics to addr...

Artificial intelligence in gastrointestinal cancer research: Image learning advances and applications.

With the rapid advancement of artificial intelligence (AI) technologies, including deep learning, la...

EAMAPG: Explainable Adversarial Model Analysis via Projected Gradient Descent.

Despite the outstanding performance of deep learning (DL) models, their interpretability remains a c...

The large language model diagnoses tuberculous pleural effusion in pleural effusion patients through clinical feature landscapes.

BACKGROUND: Tuberculous pleural effusion (TPE) is a challenging extrapulmonary manifestation of tube...

Current state and future prospects of Horizontal Gene Transfer detection.

Artificial intelligence (AI) has been shown to be beneficial in a wide range of bioinformatics appli...

Classifying and fact-checking health-related information about COVID-19 on Twitter/X using machine learning and deep learning models.

BACKGROUND: Despite recent progress in misinformation detection methods, further investigation is re...

SHASI-ML: a machine learning-based approach for immunogenicity prediction in vaccine development.

INTRODUCTION: Accurate prediction of immunogenic proteins is crucial for vaccine development and und...

Machine Learning Methods Based on Chest CT for Predicting the Risk of COVID-19-Associated Pulmonary Aspergillosis.

RATIONALE AND OBJECTIVES: To develop and validate a machine learning model based on chest CT and cli...

Exploring the response of bacterial community functions to microplastic features in lake ecosystems through interpretable machine learning.

Microplastics (MPs) are ubiquitous and have various characteristics. However, their impacts on bacte...

Deep Learning for Antimicrobial Peptides: Computational Models and Databases.

Antimicrobial peptides are a promising strategy to combat antimicrobial resistance. However, the exp...

Understanding Providers' Attitude Toward AI in India's Informal Health Care Sector: Survey Study.

BACKGROUND: Tuberculosis (TB) is a major global health concern, causing 1.5 million deaths in 2020. ...

Forecasting Epidemic Spread With Recurrent Graph Gate Fusion Transformers.

Predicting the unprecedented, nonlinear nature of COVID-19 presents a significant public health chal...

Joint Energy-Based Model for Semi-Supervised Respiratory Sound Classification: A Method of Insensitive to Distribution Mismatch.

Semi-supervised learning effectively mitigates the lack of labeled data by introducing extensive unl...

TFinder App: Artificial intelligence to diagnose tick fever agents and assess parasitemia/bacteremia in bovine blood smears.

Due to the importance of diagnosing tick fever (TF) agents and their parasitemia in the field to pro...

Deep Learning Combined with Quantitative Structure‒Activity Relationship Accelerates De Novo Design of Antifungal Peptides.

Novel antifungal drugs that evade resistance are urgently needed for Candida infections. Antifungal ...

Browse Categories