Results 211 to 220 of about 111,593 (290)

Recruiting and Consenting Decentralized Clinical Trial Participants-Learnings from the Trials@Home RADIAL Proof-of-Concept Trial. [PDF]

open access: yesClin Pharmacol Ther
Lagerwaard B   +10 more
europepmc   +1 more source

Using Social Network Analysis to Visualise Place‐Based Partnerships for Systems Change in Regional Australia

open access: yesHealth Promotion Journal of Australia, Volume 37, Issue 2, April 2026.
ABSTRACT Issue Addressed Social network analysis (SNA) is a novel approach to investigating food security systems change in regional and remote communities. With short‐term, siloed food security solutions often proving ineffective, this study used SNA to visualise how organisations across a vast area in Western Australia (WA) were working in ...
Stephanie L. Godrich   +5 more
wiley   +1 more source

Regulatory Interactions and Learnings-RADIAL the Trials@Home Proof-of-Concept Trial on Decentralization. [PDF]

open access: yesClin Pharmacol Ther
Gardarsdottir H   +12 more
europepmc   +1 more source

It takes a village: Evolving from learning health system to learning community for health equity

open access: yesLearning Health Systems, Volume 10, Issue 2, April 2026.
Abstract Introduction Improving health equity requires engagement with partners outside of the clinical health system to address the socio‐political‐economic and structural drivers that shape health equity. Health systems need to focus on learning with communities to impact these conditions.
Sally A. Kraft   +4 more
wiley   +1 more source

Navigating and reframing tensions within equity‐centered learning health systems

open access: yesLearning Health Systems, Volume 10, Issue 2, April 2026.
Abstract Introduction Canada recently joined a growing list of countries that are establishing national collaboratives to exchange knowledge on and scale learning health systems (LHSs) across geographies and sectors. The first symposium of the pan‐Canadian Learning Health Hub was held in June 2024 and included a keynote presentation and breakout ...
Ibukun‐Oluwa Omolade Abejirinde   +1 more
wiley   +1 more source

Transparency when assessing critical thinking: A case study of student co‐creation for the midwifery curriculum

open access: yesReview of Education, Volume 14, Issue 1, April 2026.
Abstract This paper examines how student participation can contribute to transparent assessment practices in the context of assessing students' critical thinking skills. Critical reading and writing are key components of assessment in higher education, but the standards are often tacit and implicit.
Charlotte Haberstroh   +5 more
wiley   +1 more source

Vaccination models of delivery for refugees and migrants: a global scoping review. [PDF]

open access: yesBMC Public Health
Aghajafari F   +8 more
europepmc   +1 more source

Risk Governance in Clinical Education for Healthcare Students: A Scoping Review

open access: yesThe Clinical Teacher, Volume 23, Issue 2, April 2026.
ABSTRACT Background Clinical education is essential for the training and accreditation of healthcare students. It facilitates hands‐on application and prepares students for their future roles in a dynamic and complex workforce. However, such clinical exposure comes with inherent risk, not least due to the delicate balance between patient safety and ...
Raelynn R. Tong   +3 more
wiley   +1 more source

An Overview of Deep Learning Techniques for Big Data IoT Applications

open access: yesInternational Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur   +2 more
wiley   +1 more source

Datasheets for machine learning sensors

open access: yesAI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract Machine learning (ML) is becoming prevalent in embedded AI sensing systems. These “ML sensors” enable context‐sensitive, real‐time data collection and decision‐making across diverse applications ranging from anomaly detection in industrial settings to wildlife tracking for conservation efforts.
Matthew Stewart   +14 more
wiley   +1 more source

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