Latest AI and machine learning research in public health & policy for healthcare professionals.
Objectives Natural disasters have a significant impact on mental health. Data collected from the pop...
BACKGROUND: The objective performance evaluation of an athlete is essential to allow detailed resear...
BACKGROUND: SARS-CoV-2, the unique coronavirus that causes COVID-19, has wreaked damage around the g...
Pharmacovigilance (PV) deals with the detection, collection, assessment, understanding, and preventi...
This review article aims to explore the major challenges that the healthcare system is currently fac...
Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...
PURPOSE: To observe the anti-caries effect of transgenic tomato anti-caries vaccine after immunizati...
The rising cost of private health insurance and constraints within public health systems are global ...
OBJECTIVES: Percutaneous coronary intervention (PCI) is one of the most important treatments for cor...
With the rapid spread of epidemic situation, how to quickly analyze health risk factors has become a...
Deep learning methods are increasingly being applied to problems in medicine and health care. Howeve...
In this article, I present a brief summary of landmark events in the American Journal of Epidemiolog...
Falls are a common problem associated with significant morbidity, mortality, and economic costs. Cur...
Advances in digital health, systems biology, environmental monitoring, and artificial intelligence (...
Social determinants of health (SDoH) are known to impact the health and well-being of patients. How...
During future interplanetary space missions, a number of health conditions may arise, owing to the h...
Atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS) are relatively common breast l...
"Heterogeneous treatment effects" is a term which refers to conditional average treatment effects (i...