Publications by authors named "R D Barlow"
Secondary intention healing (SIH) is utilised by various surgical specialities. The formation of granulation tissue is crucial for initiating the healing process, necessitating robust support at this stage. Numerous adjunct therapies are available, with new developments aimed at treating both acute and chronic wounds undergoing SIH.
View Article and Find Full Text PDFSecondary intention healing (SIH) describes wounds healing from the base upwards, without direct closure. This starts with granulation of the wound, followed by re-epithelialisation and contraction. The surgeon and patient need to weigh up advantages and disadvantages of SIH versus other reconstruction methods.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates CP symmetry violation in the decay of D^{+} particles into K^{-}K^{+}π^{+} using data from proton-proton collisions at a high energy of 13 TeV.
- A unique model-independent method was employed to analyze the phase-space distributions of D^{+} and D^{-} particles, correcting for any instrumental biases using D_{s}^{+} decays.
- The findings indicate no significant evidence of CP violation, with a p value of 8.1%, and measure specific CP asymmetry observables, marking this study as the most sensitive search of its kind in multibody decays.
Background: Evidence suggests that prehabilitation interventions, which optimise physical and mental health prior to treatment, can improve outcomes for surgical cancer patients and save costs to the health system through faster recovery and fewer complications. However, robust, theory-based evaluations of these programmes are needed. Using a theory of change (ToC) approach can guide evaluation plans by describing how and why a programme is expected to work.
View Article and Find Full Text PDFArticle Synopsis
- Artificial intelligence (AI) is being explored for its potential in diagnosing and managing psoriasis, a chronic inflammatory skin disease, alongside its established use in skin cancer detection.
- Despite advancements in treatment options, significant challenges like delayed diagnoses and identifying the right medication for individual patients persist, particularly in regions with limited healthcare access.
- This study compiles recent literature to evaluate AI's role in improving diagnostic accuracy and treatment outcomes for psoriatic disease while acknowledging existing limitations in its application.