Latest AI and machine learning research in public health for healthcare professionals.
As global demographics change, ageing is a global phenomenon which is increasingly of interest in ou...
With clinical trials unable to detect all potential adverse reactions to drugs and medical devices p...
With the global outbreak of coronavirus disease (COVID-19) all over the world, artificial intelligen...
Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that produces non-reversi...
The COVID-19 pandemic has had a devastating effect on many people, creating severe anxiety, fear, an...
SARS-CoV2 pandemic exposed the limitations of artificial intelligence based medical imaging systems....
Since the 2019 novel coronavirus disease (COVID-19) outbreak in 2019 and the pandemic continues for ...
Newcastle disease (ND) and Avian influenza (AI) are the major problems and the most economically imp...
BACKGROUND: There is a limited amount of data on the safety profile of the COVID-19 vector vaccine G...
Human action recognition (HAR) has gained significant attention recently as it can be adopted for a ...
Many virological tests have been implemented during the Coronavirus Disease 2019 (COVID-19) pandemic...
The COVID-19 pandemic has infected over 250 million people worldwide and killed more than 5 million ...
Fake news is challenging to detect due to mixing accurate and inaccurate information from reliable a...
Convalescent immune plasma (CIP) therapy in coronavirus disease 2019 (COVID-19) is presently a trend...
COVID-19 vaccinations are the primary tool to end the pandemic. However, vaccine hesitancy continues...
Prediction of complex epidemiological systems such as COVID-19 is challenging on many grounds. Commo...
During the COVID-19 pandemic, West Virginia developed an aggressive SARS-CoV-2 testing strategy whic...
In healthcare, a multitude of data is collected from medical sensors and devices, such as X-ray mach...
Vaccination to prevent infectious disease is one of the most successful public health interventions ...
BACKGROUND: To develop and validate a risk prediction nomogram based on a deep learning convolutiona...
The outbreak of COVID-19 has introduced a significant stress on the healthcare systems of many count...