Infectious Disease

Public Health

Latest AI and machine learning research in public health for healthcare professionals.

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COVID-19 disease identification network based on weakly supervised feature selection.

The coronavirus disease 2019 (COVID-19) outbreak has resulted in countless infections and deaths wor...

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...

Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning.

We sought to determine whether machine learning and natural language processing (NLP) applied to ele...

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...

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 ...

A novel method for conformity assessment testing of infant incubators for post-market surveillance purposes.

BACKGROUND: Premature born infants or infants born sick require immediate medical attention and decr...

A novel method for conformity assessment testing of anaesthesia machines for post-market surveillance purposes.

BACKGROUND: Anaesthesia machines, as moderate to high-risk medical devices intended for use on patie...

A novel method for conformity assessment testing of mechanical ventilators for post-market surveillance purposes.

BACKGROUND: Mechanical ventilators are medical devices used in intensive care units when patients ar...

A novel method for conformity assessment testing of dialysis machines for post-market surveillance purposes.

BACKGROUND: Dialysis machines are used regularly in healthcare practice. They are classified as a ty...

A novel method for conformity assessment testing of infusion and perfusion pumps for post-market surveillance purposes.

BACKGROUND: Introduction of fluids, medicaments and nutrients into the human body during hospitaliza...

A novel method for conformity assessment testing of therapeutic ultrasounds for post-market surveillance purposes.

BACKGROUND: Therapeutic ultrasounds are medical devices used for treatment of conditions such muscle...

A novel method for conformity assessment testing of patient monitors for post-market surveillance purposes.

BACKGROUND: Patient monitors are medical devices used to monitor vital parameters such as heart rate...

A novel method for conformity assessment testing of defibrillators for post-market surveillance purposes.

BACKGROUND: Defibrillators are medical devices (MDs) used in the most critical situations, hence the...

A novel method for conformity assessment testing of electrocardiographs for post-market surveillance purposes.

BACKGROUND: Monitoring cardiac parameters is the fundamental aspect of every diagnostic process and ...

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 ...

Preventing the next pandemic: Use of artificial intelligence for epidemic monitoring and alerts.

Emerging infections are a continual threat to public health security, which can be improved by use o...

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