Aims: Automated retinal image analysis using Artificial Intelligence (AI) can detect diabetic retinopathy as accurately as human graders, but it is not yet licensed in the NHS Diabetic Eye Screening Programme (DESP) in England. This study aims to assess perceptions of People Living with Diabetes (PLD) and Healthcare Practitioners (HCP) towards AI's introduction in DESP.
Methods: Two online surveys were co-developed with PLD and HCP from a diverse DESP in North East London.
Background: Evidence for the longer-term benefits of online mindfulness training for medical students, including in the reduction of stress and improved wellbeing, is limited. This study aimed to evaluate the impact of a novel online mindfulness training program on trait mindfulness, wellbeing and study engagement of medical students at program completion and 6-month follow-up.
Methods: This was a randomised waitlist control study of an 8-week, online, mindfulness-based intervention versus normal curriculum alone for medical students (N = 114).
The fabrication of pressure-sensitive adhesives (PSA) using liquid crystal elastomers (LCE) that are tolerant to substrate roughness is explored in this work. Traditional soft adhesives are designed by maintaining a balance between their cohesive strength and compliance. However, rough surfaces can significantly affect the adhesion strength of PSAs.
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