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Equipping our public health nutrition workforce to promote planetary health - a case example of tertiary education co-designed with students.
Public Health Nutr
January 2025
Department of Nutrition, Dietetics and Food, Monash University.
Objective: The public health nutrition workforce is well-placed to contribute to bold climate action, however tertiary educators are seeking practical examples of how to adequately prepare our future workforce. This study examines the responses of university students engaged in a co-designed planetary health education workshop as part of their public health nutrition training.
Design: A mixed-methods approach was used to collect and interpret student responses to four interactive tasks facilitated during an in-person workshop.
Dependence of RF Sputtering Power on Structural and Electrical Properties of SnO Thin Films.
Microsc Res Tech
January 2025
Department of Physics, East Tehran Branch, Islamic Azad University, Tehran, Iran.
SnO thin films were deposited on Si substrates by radio frequency (RF) magnetron sputtering technique, and the effects of different sputtering power (60-90 W) on the structural, surface morphological, and electrical properties of the film were investigated with XRD, Raman, AFM, SEM, and fore point probe. The deposited SnO film at lower RF was amorphous, while well-defined intense XRD signals at higher RF power indicated significant improvement in crystalline nature. E and A vibrating modes related to SnO were clearly observed in the Raman spectra.
View Article and Find Full Text PDFEffects of double data extraction on errors in evidence synthesis: a crossover, multicenter, investigator-blinded, randomized controlled trial.
Postgrad Med J
January 2025
Proof of Concept Center, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital, Second Military Medical University, Naval Medical University, No. 255, Yangpu District, Shanghai, 200433, China.
Objectives: The objective was to investigate the role of double extraction in reducing data errors in evidence synthesis for pharmaceutical and non-pharmaceutical interventions.
Design: Crossover randomized controlled trial (RCT).
Setting: University and hospital with teaching programs in evidence-based medicine.
Benchmarking lung cancer screening programmes with adaptive screening frequency against the optimal screening schedules derived from the ENGAGE framework: a comparative microsimulation study.
EClinicalMedicine
August 2024
Division of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Background: Lung cancer screening recommendations employ annual frequency for eligible individuals, despite evidence that it may not be universally optimal. The impact of imposing a structure on the screening frequency remains unknown. The ENGAGE framework, a validated framework that offers fully dynamic, analytically optimal, personalised lung cancer screening recommendations, could be used to assess the impact of screening structure on the effectiveness and efficiency of lung cancer screening.
View Article and Find Full Text PDFThe Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.
Health Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
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