Infectious Disease

Swine Flu

Latest AI and machine learning research in swine flu for healthcare professionals.

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SEINN: A deep learning algorithm for the stochastic epidemic model.

Stochastic modeling predicts various outcomes from stochasticity in the data, parameters and dynamic...

Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron.

Pneumonia is one of the leading causes of morbidity and mortality in children. This is especially tr...

A Deep Learning Framework for Image-Based Screening of Kawasaki Disease.

Kawasaki disease (KD) is a leading cause of acquired heart disease in children and is characterized ...

A Multimodal Dataset for Automatic Edge-AI Cough Detection.

Counting the number of times a patient coughs per day is an essential biomarker in determining treat...

Reinforcement learning relieves the vaccination dilemma.

The main goal of this paper is to study how a decision-making rule for vaccination can affect epidem...

Evolution of the newest diagnostic methods for COVID-19: a Chinese perspective.

Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a...

Development and validation of a deep learning model to diagnose COVID-19 using time-series heart rate values before the onset of symptoms.

One of the effective ways to minimize the spread of COVID-19 infection is to diagnose it as early as...

Integrated mRNA sequence optimization using deep learning.

The coronavirus disease of 2019 pandemic has catalyzed the rapid development of mRNA vaccines, where...

RNAdegformer: accurate prediction of mRNA degradation at nucleotide resolution with deep learning.

Messenger RNA-based therapeutics have shown tremendous potential, as demonstrated by the rapid devel...

Hepatic Hydrothorax Without Ascites: A Diagnostic And Management Challenge.

Hepatic hydrothorax refers to the presence of a pleural effusion (usually >500 mL) in a patient with...

First Case Report Of Anca-Associated Vasculitis And Anthracosis Coexistence.

Anthracosis is a type of mild pneumoconiosis secondary to harmless carbon dust deposits. Although an...

In Vitro Antiviral Activity of a New Indol-3-carboxylic Acid Derivative Against SARS-CoV-2.

The coronavirus disease (COVID-19) pandemic has brought into sharp relief the threat posed by corona...

Vaxi-DL: An Artificial Intelligence-Enabled Platform for Vaccine Development.

Vaccine development is a complex and long process. It involves several steps, including computationa...

Prediction of Bacterial Immunogenicity by Machine Learning Methods.

Prediction of bacterial immunogens is a prerequisite for the process of vaccine development through ...

[Literacy for Appropriate Use of Medical Big Data and Artificial Intelligence].

Recent developments have enabled daily accumulated medical information to be converted into medical ...

Computer Aided Reverse Vaccinology: A Game-changer Approach for Vaccine Development.

One of the most dynamic approaches in biotechnology is reverse vaccinology, which plays a huge role ...

A Cough-based deep learning framework for detecting COVID-19.

This paper presents a deep learning framework for detecting COVID-19 positive subjects from their co...

Inference Time of a CamemBERT Deep Learning Model for Sentiment Analysis of COVID Vaccines on Twitter.

In previous work, we implemented a deep learning model with CamemBERT and PyTorch, and built a micro...

Potential SARS-CoV-2 nonstructural proteins inhibitors: drugs repurposing with drug-target networks and deep learning.

BACKGROUND: In the current COVID-19 pandemic, with an absence of approved drugs and widely accessibl...

Computational anti-COVID-19 drug design: progress and challenges.

Vaccines have made gratifying progress in preventing the 2019 coronavirus disease (COVID-19) pandemi...

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