Latest AI and machine learning research in vaccines for healthcare professionals.
BACKGROUND: Attitude-targeted interventions are important approaches for promoting vaccination. Educ...
Head and Neck Squamous Cell Carcinoma (HNSCC) is the seventh most prevalent cancer worldwide and is ...
BackgroundThis study provides a concise overview of the Italian and European pharmacovigilance (PV) ...
RNA-based therapeutics are currently at the forefront of the biopharmaceutical industry because of t...
Dendritic cells (DCs) are pivotal orchestrators of anti-tumor immunity. DC-based anti-tumor treatmen...
SUMMARY () is a major human pathogen that can cause severe diseases such as meningitis and bacteremi...
Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is o...
Childhood vaccination saves millions of lives yearly, yet over a million children in low-and middle-...
BACKGROUND: Machine learning algorithms have been used to predict malaria risk and severity, identif...
To evaluate the accuracy and acceptability of self-sampling samples for HPV testing for cervical can...
Ebola virus disease (EVD) outbreaks are increasing, posing significant threats to affected communiti...
BACKGROUND: The COVID-19 pandemic highlighted significant disparities in vaccine distribution, parti...
The frequent global outbreaks of viral infectious diseases have significantly heightened the urgent ...
BACKGROUND: The spread of SARS-CoV-2 Omicron variant and its subvariants, highly transmissible but r...
Cervical cancer stands out among various cancers due to its potential for prevention and eradication...
The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highl...
BACKGROUND: Presymptomatic or asymptomatic immune system signals and subclinical physiological chang...
An Accreditation and equivalency certificate Verification System is required to ensure integrity, tr...
Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...
OBJECTIVE: In this study, we developed a novel detection strategy based on volatile organic compound...
INTRODUCTION: We aimed to develop a machine learning (ML) model to predict the risk of coronavirus d...