Public Health

Combating COVID-19 Crisis using Artificial Intelligence (AI) Based Approach: Systematic Review.

BACKGROUND: SARS-CoV-2, the unique coronavirus that causes COVID-19, has wreaked damage around the g...

Highlights From IDWeek 2023-New Vaccines, Artificial Intelligence, and Antimicrobial Resistance.

[Experimental study of APB-DOCK8 transgenic tomato vaccine for caries prevention].

PURPOSE: To observe the anti-caries effect of transgenic tomato anti-caries vaccine after immunizati...

Methods for Analyzing Unknown Health Risk Based on Nature Language Process (NLP).

With the rapid spread of epidemic situation, how to quickly analyze health risk factors has become a...

Deep Learning for Epidemiologists: An Introduction to Neural Networks.

Deep learning methods are increasingly being applied to problems in medicine and health care. Howeve...

Snippets of the History of the American Journal of Epidemiology.

In this article, I present a brief summary of landmark events in the American Journal of Epidemiolog...

Living Large: The hottest stars, how AI learns and new vaccines for RSV.

Humoral Response After Two Doses of COVISHIELD Vaccine in Patients Undergoing Maintenance Hemodialysis.

OBJECTIVES: Maintenance hemodialysis (MHD) patients are at increased risk of contracting coronavirus...

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

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

Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry).

Co-evolution of epidemiology and artificial intelligence: challenges and opportunities.

Long-term SARS-CoV-2 neutralizing antibody level prediction using multimodal deep learning: A prospective cohort study on longitudinal data in Wuhan, China.

The ongoing epidemic of SARS-CoV-2 is taking a substantial financial and health toll on people world...

Active Surveillance for Atypical Ductal Hyperplasia and Ductal Carcinoma In Situ.

Atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS) are relatively common breast l...

Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects.

"Heterogeneous treatment effects" is a term which refers to conditional average treatment effects (i...

The long-acting walking control of a cockroach bio-bot for vision-aided pipeline navigation.

Many small bionic crawling robots have been invented for search and rescue missions in narrow spaces...

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...

US Quantification of Liver Fat: Past, Present, and Future.

Fatty liver disease has a high and increasing prevalence worldwide, is associated with adverse cardi...

Scoping Review: Legal and Ethical Principles of Artificial Intelligence in Public Health.

The growing accessibility of large health datasets and AI's ability to analyze them offers significa...

Personal Data for Public Benefit: The Regulatory Determinants of Social Licence for Technologically Enhanced Antimicrobial Resistance Surveillance.

Technologically enhanced surveillance systems have been proposed for the task of monitoring and resp...

Applications of machine learning in animal and veterinary public health surveillance.

Machine learning (ML) is an approach to artificial intelligence characterised by the use of algorith...

Advances in Artificial Intelligence for Infectious-Disease Surveillance.