Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Bridging Neuroscience and Machine Learning: A Gender-Based Electroencephalogram Framework for Guilt Emotion Identification.

This study explores the link between the emotion "guilt" and human EEG data, and investigates the in...

A unique AI-based tool for automated segmentation of pulp cavity structures in maxillary premolars on CBCT.

To develop and validate an artificial intelligence (AI)-driven tool for the automatic segmentation o...

Hybrid-RViT: Hybridizing ResNet-50 and Vision Transformer for Enhanced Alzheimer's disease detection.

Alzheimer's disease (AD) is a leading cause of disability worldwide. Early detection is critical for...

Artificial Intelligence Model for Detection of Colorectal Cancer on Routine Abdominopelvic CT Examinations: A Training and External-Testing Study.

Radiologists are prone to missing some colorectal cancers (CRCs) on routine abdominopelvic CT exami...

Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants.

Machine learning (ML) is changing the world of computational protein design, with data-driven method...

Automated grading of oleaster fruit using deep learning.

The agriculture sector is crucial to many economies, particularly in developing regions, with post-h...

DeepInterAware: Deep Interaction Interface-Aware Network for Improving Antigen-Antibody Interaction Prediction from Sequence Data.

Identifying interactions between candidate antibodies and target antigens is a key step in developin...

Data-Driven Insights into Resin Screening for Targeted Per- and Polyfluoroalkyl Substances Removal Using Machine Learning.

In this study, we address the challenge of screening resins and optimizing operation conditions for ...

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...

Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops.

Using chemical laboratory procedures to estimate the fruit quality parameters (biochemical parameter...

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...

Forecasting Epidemic Spread With Recurrent Graph Gate Fusion Transformers.

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

Galactose-Induced Cataracts in Rats: A Machine Learning Analysis.

Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiol...

Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients.

BACKGROUND: Identification of distinct clinical phenotypes of diseases can guide personalized treatm...

Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder.

Although the efficacy of pharmacy in the treatment of attention deficit/hyperactivity disorder (ADHD...

Unveiling the new chapter in nanobody engineering: advances in traditional construction and AI-driven optimization.

Nanobodies (Nbs), miniature antibodies consisting solely of the variable region of heavy chains, exh...

Deep Learning-Enhanced Chemiluminescence Vertical Flow Assay for High-Sensitivity Cardiac Troponin I Testing.

Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grad...

Fuzz Testing Molecular Representation Using Deep Variational Anomaly Generation.

Researchers are developing increasingly robust molecular representations, motivating the need for th...

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