Objective: This article presents a mobile application model for the treatment tracking of in-hospital wounds.
Methods: A survey of the literature on mobile apps for wound monitoring was carried out. Health professionals were interviewed and wound forms were analyzed to synthesize the application's fields and features. We designed the application model using a prototyping tool.
Results: The prototype features interfaces for patient evaluation, different functionalities according to the role of the health professional, a dashboard for monitoring the open admissions, selection of wound locations using a body model, treatment prescribing, tracking the wounds using photos, and generating wound reports.
Conclusion: The adoption of this application could optimize wounds' treatment, increase patient safety, reduce material expenditures and time for professionals with rework in the dressing procedure.
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http://dx.doi.org/10.3233/SHTI220049 | DOI Listing |
Alzheimers Dement
December 2024
Edith Cowan University, Perth, Western Australia, Australia.
Background: Accumulation of amyloid beta 42 (Aβ42) senile plaques is the most critical event leading to Alzheimer's disease (AD). Currently approved drugs for AD have not been able to effectively modify the disease. This has caused increasing research interests in health beneficial nutritious plant foods as viable alternative therapy to prevent or manage AD.
View Article and Find Full Text PDFBackground: We have previously reported the neuroprotective effects of fosgonimeton in amyloid-β (Aβ)-driven preclinical models of Alzheimer's disease (AD). Fosgonimeton is an investigational small-molecule positive modulator of the neurotrophic hepatocyte growth factor (HGF) system, currently under investigation for mild-to-moderate AD (LIFT-AD; NCT04488419). Given the recent approvals of Aβ-targeting monoclonal antibodies (Aβ-mAbs) for the treatment of AD, and growing recognition that combination therapies may improve treatment outcomes, we sought to investigate the preclinical activity of fosgonimeton in the presence of Aβ-mAbs.
View Article and Find Full Text PDFBackground: Accumulating evidence highlights impairment of autophagy as a key pathological feature of neurodegenerative diseases including Alzheimer's disease (AD). Autophagy is a highly dynamic, lysosome-based degradation process that promotes the clearance of degenerative factors to maintain cellular functions, preserve metabolic integrity, and ensure survival. Impaired autophagic function leads to the abnormal accumulation of autophagic vesicles (i.
View Article and Find Full Text PDFBackground: Pivotal Alzheimer's Disease (AD) trials typically require thousands of participants, resulting in long enrollment timelines and substantial costs. We leverage deep learning predictive models to create prognostic scores (forecasted control outcome) of trial participants and in combination with a linear statistical model to increase statistical power in randomized clinical trials (RCT). This is a straightforward extension of the traditional RCT analysis, allowing for ease of use in any clinical program.
View Article and Find Full Text PDFIntroduction: The United States is undergoing a demographic shift with increasing proportions of older adults. Currently, one in three older adults pass away with a form of Alzheimer's disease or related dementias (ADRD). This figure is higher in underrepresented and underserved groups including older adults in rural Appalachian communities.
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