Infectious Disease

Public Health

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

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Artificial Intelligence for Vaccine Design.

Often likened to "the new electricity," artificial intelligence (AI) has broad and sweeping impact i...

Artificial Intelligence in Vaccine and Drug Design.

Knowledge in the fields of biochemistry, structural biology, immunological principles, microbiology,...

Vaccine Design by Reverse Vaccinology and Machine Learning.

Reverse vaccinology (RV) is the state-of-the-art vaccine development strategy that starts with predi...

Fighting COVID-19 with Artificial Intelligence.

The development of vaccines for the treatment of COVID-19 is paving the way for new hope. Despite th...

Characterization of species isolated from vulvovaginal candidiasis by MALDI-TOF with antifungal susceptibility profiles.

BACKGROUND AND PURPOSE: Vulvovaginal candidiasis (VVC) is an opportunistic infection due to species...

Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases.

The COVID-19 outbreak has caused the mortality worldwide and the use of swab sampling is a common wa...

Regulation Modelling and Analysis Using Machine Learning During the Covid-19 Pandemic in Russia.

Due to the specific circumstances related to the COVID-19 pandemic, many countries have enforced eme...

[Machine learning and its epidemiological applications].

As an important branch of artificial intelligence, machine learning is widely used in various fields...

Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19.

Current coronavirus disease-2019 (COVID-19) pandemic has caused massive loss of lives. Clinical tria...

Assessment of Automating Safety Surveillance From Electronic Health Records: Analysis for the Quality and Safety Review System.

BACKGROUND AND OBJECTIVES: In an effort to improve and standardize the collection of adverse event d...

Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.

The real-time monitoring of reductions of economic activity by containment measures and its effect o...

Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.

OBJECTIVE: Automated analysis of vaccine postmarketing surveillance narrative reports is important t...

Vaxign2: the second generation of the first Web-based vaccine design program using reverse vaccinology and machine learning.

Vaccination is one of the most significant inventions in medicine. Reverse vaccinology (RV) is a sta...

Robotic Antimicrobial Susceptibility Platform (RASP): a next-generation approach to One Health surveillance of antimicrobial resistance.

BACKGROUND: Surveillance of antimicrobial resistance (AMR) is critical to reducing its wide-reaching...

A novel reassortant avian influenza H4N6 virus isolated from an environmental sample during a surveillance in Maharashtra, India.

BACKGROUND & OBJECTIVES: Low pathogenic avian influenza (LPAI) viruses cause mild clinical illness i...

Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology.

The field of nutritional epidemiology faces challenges posed by measurement error, diet as a complex...

Instability of Variable-selection Algorithms Used to Identify True Predictors of an Outcome in Intermediate-dimension Epidemiologic Studies.

BACKGROUND: Machine-learning algorithms are increasingly used in epidemiology to identify true predi...

Predicting Falls Among Community-Dwelling Older Adults: A Demonstration of Applied Machine Learning.

Data science skills are increasingly needed by informatics nurses and nurse scientists, but techniqu...

VIDHOP, viral host prediction with deep learning.

MOTIVATION: Zoonosis, the natural transmission of infections from animals to humans, is a far-reachi...

Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma.

BACKGROUNDPatients with p16+ oropharyngeal squamous cell carcinoma (OPSCC) are potentially cured wit...

[Application of artificial intelligence for detection and classification of colon polyps].

Colorectal cancer is one of the most common cancers worldwide, and colonoscopy has proven to be a pr...

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