A peer-reviewed study published in Data & Policy by legal scholar Karen Yeung of the University of Birmingham, and Wenlong Li of Zhejiang University, warns that the testing of AI systems “in the wild” ...

Soil biogeochemical data are important for understanding ecosystem dynamics, guiding sustainable land management practices, and mitigating and adapting to climate change. This Collection features a ...

Background There are limited studies regarding risk factors for sports-related injuries in adolescent athletes.Objectives The primary aim was to identify risk factors for sustaining a sports-related ...

Objective To develop and compare algorithms for identifying gestational diabetes mellitus (GDM) across European electronic healthcare databases and evaluate their impact on the estimated prevalence.

Introduction Shared decision-making (SDM) requires that individuals are correctly and smoothly supported to make decisions. However, in Japan, development of decision aids (DAs) to support ...

With global malaria cases on the rise, the WHO has placed increased emphasis on National Malaria Programmes to tailor interventions to country and programmatic needs. This paper presents the Plus ...

A study finds that a representative sample of people given wearable data collection devices provides more equitable and accurate health data than larger convenience samples of people who already own ...

Generative AI has unquestionably increased raw coding velocity as part of the software development lifecycle (SDLC). Tools can churn out syntactically correct boilerplate, REST endpoints, and data ...

Hunters, anglers and other nonconsumptive outdoor enthusiasts all want state agencies to manage fish and game populations in a sustainable manner.

The Sport Mental Health Assessment Tool-1 (SMHAT-1) screens for athlete mental health concerns, yet little is known about outcomes following positive screens. Objective This study examined the ...