Infectious Disease

COVID-19

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

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Nurses' perception towards care robots and their work experience with socially assistive technology during COVID-19: A qualitative study.

This study aimed to explore nurses' perceptions towards care robots and their work experiences in ca...

Expectile Neural Networks for Genetic Data Analysis of Complex Diseases.

The genetic etiologies of common diseases are highly complex and heterogeneous. Classic methods, suc...

DapNet-HLA: Adaptive dual-attention mechanism network based on deep learning to predict non-classical HLA binding sites.

Human leukocyte antigen (HLA) plays a vital role in immunomodulatory function. Studies have shown th...

CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images.

Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X...

Knowledge Sharing for Pulmonary Nodule Detection in Medical Cyber-Physical Systems.

With the rapid development of edge intelligence (EI) and machine learning (ML), the applications of ...

Noise Reduction Learning Based on XLNet-CRF for Biomedical Named Entity Recognition.

In recent years, Biomedical Named Entity Recognition (BioNER) systems have mainly been based on deep...

Artificial Intelligence-Driven Image Analysis of Bacterial Cells and Biofilms.

The current study explores an artificial intelligence framework for measuring the structural feature...

Socially assistive robots in health and social care: Acceptance and cultural factors. Results from an exploratory international online survey.

AIM: This study explored the views of an international sample of registered nurses and midwives work...

Simultaneous Segmentation and Classification of Pressure Injury Image Data Using Mask-R-CNN.

BACKGROUND: Pressure injuries (PIs) impose a substantial burden on patients, caregivers, and healthc...

Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches.

BACKGROUND: Disparities in adverse COVID-19 health outcomes have been associated with multiple socia...

Explainable artificial intelligence model for identifying COVID-19 gene biomarkers.

AIM: COVID-19 has revealed the need for fast and reliable methods to assist clinicians in diagnosing...

Deep learning-assisted ultra-accurate smartphone testing of paper-based colorimetric ELISA assays.

Smartphone has long been considered as one excellent platform for disease screening and diagnosis, e...

MaskID: An effective deep-learning-based algorithm for dense rebar counting.

As a dense instance segmentation problem, rebar counting in a complex environment such as rebar yard...

IGPred-HDnet: Prediction of Immunoglobulin Proteins Using Graphical Features and the Hierarchal Deep Learning-Based Approach.

. Immunoglobulin proteins (IGP) (also called antibodies) are glycoproteins that act as B-cell recept...

Comparison of the Diagnostic Performance of Deep Learning Algorithms for Reducing the Time Required for COVID-19 RT-PCR Testing.

(1) Background: Rapid and accurate negative discrimination enables efficient management of scarce is...

Current Role of Delta Radiomics in Head and Neck Oncology.

The latest developments in the management of head and neck cancer show an increasing trend in the im...

COVID-19 Classification on Chest X-ray Images Using Deep Learning Methods.

Since December 2019, the coronavirus disease has significantly affected millions of people. Given th...

An automated, low volume, and high-throughput analytical platform for aggregate quantitation from cell culture media.

High throughput screening methods have driven a paradigm shift in biopharmaceutical development by r...

Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics.

Generating and analyzing overlapping peptides through multienzymatic digestion is an efficient proce...

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