Infectious Disease

COVID-19

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

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DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set.

Background There are characteristic findings of coronavirus disease 2019 (COVID-19) on chest images....

Development challenges of high concentration monoclonal antibody formulations.

High concentration monoclonal antibody drug products represent a special segment of biopharmaceutica...

Exploiting Multiple Optimizers with Transfer Learning Techniques for the Identification of COVID-19 Patients.

Due to the rapid spread of COVID-19 and its induced death worldwide, it is imperative to develop a r...

Design and testing of a novel gastrointestinal microrobot.

In order to improve the reliability, safety and whole digestive applicability of the gastrointestina...

An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images.

A newly emerged coronavirus (COVID-19) seriously threatens human life and health worldwide. In copin...

Development of a machine learning algorithm to predict intubation among hospitalized patients with COVID-19.

PURPOSE: The purpose of this study is to develop a machine learning algorithm to predict future intu...

DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era.

Coronavirus (Covid-19) pandemic has imposed a complete shut-down of face-to-face teaching to univers...

FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms.

The novel coronavirus (COVID-19) pneumonia has become a serious health challenge in countries worldw...

Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls.

Falling is a significant health problem. Fall detection, to alert for medical attention, has been ga...

A novel hand-crafted with deep learning features based fusion model for COVID-19 diagnosis and classification using chest X-ray images.

COVID-19 pandemic is increasing in an exponential rate, with restricted accessibility of rapid test ...

Machine Learning for Mortality Analysis in Patients with COVID-19.

This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain)....

Automatic detection of COVID-19 from chest radiographs using deep learning.

INTRODUCTION: The breakdown of a deadly infectious disease caused by a newly discovered coronavirus ...

Predicting antibody affinity changes upon mutations by combining multiple predictors.

Antibodies are proteins working in our immune system with high affinity and specificity for target a...

Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation.

BACKGROUND: Patients with COVID-19 in the intensive care unit (ICU) have a high mortality rate, and ...

Functional Testing for Tranexamic Acid Duration of Action Using Modified Viscoelastometry.

INTRODUCTION: Tranexamic acid (TXA) is the standard medication to prevent or treat hyperfibrinolysis...

SVFX: a machine learning framework to quantify the pathogenicity of structural variants.

There is a lack of approaches for identifying pathogenic genomic structural variants (SVs) although ...

Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays.

Since December 2019, the novel COVID-19's spread rate is exponential, and AI-driven tools are used t...

A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19 in India.

Meteorological parameters were crucial and effective factors in past infectious diseases, like influ...

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