Identical ingredients can affect the body very differently once the cooking method enters the picture. High-heat techniques ...

Abstract: This paper investigates the use of Deep Q-Learning (DQN), a reinforcement learning algorithm, to optimize strategies for controlling epidemic spread. While traditional models like SIR offer ...

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Introduction Colonic diverticulosis is the most common structural abnormality of the colon in developed countries, with an increasing global prevalence. Approximately 20–25% of affected individuals ...

Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...

A strategy for advance care planning (ACP) that included automated outreach from staff who contacted patients to offer assistance significantly boosted the number of patients who completed ...

A strategy for advance care planning (ACP) that included automated outreach from staff who contacted patients to offer assistance significantly boosted the number of patients who completed ...

Please submit your article to the Research Topic that best suits the focus of your research. The science of genetic epidemiology has been accelerated in recent years thanks to the advances of new ...

ABSTRACT: Immune imprinting denotes a phenomenon where previous exposure to a viral antigen, through infection or vaccination, imprints that antigen in immunological memory. When the immune system is ...

The restricted mean survival time (RMST) analysis technique was introduced in health care research about 25 years ago and since then has become widely used in economics, engineering, business and ...