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Cardiomeds, an mHealth App for Self-Management to Support Swiss Patients With Heart Failure: 2-Stage Mixed Methods Usability Study.
JMIR Form Res
January 2025
Department of Computer Science, University Hospital of Geneva, Geneva, Switzerland.
Background: Mobile health apps have shown promising results in improving self-management of several chronic diseases in patients. We have developed a mobile health app (Cardiomeds) dedicated to patients with heart failure (HF). This app includes an interactive medication list; daily self-monitoring of symptoms, weight, blood pressure, and heart rate; and educational information on HF delivered through various formats.
View Article and Find Full Text PDFDifferences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!
Eur Radiol Exp
January 2025
Computational Clinical Imaging Group (CCIG), Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
Good practices in artificial intelligence (AI) model validation are key for achieving trustworthy AI. Within the cancer imaging domain, attracting the attention of clinical and technical AI enthusiasts, this work discusses current gaps in AI validation strategies, examining existing practices that are common or variable across technical groups (TGs) and clinical groups (CGs). The work is based on a set of structured questions encompassing several AI validation topics, addressed to professionals working in AI for medical imaging.
View Article and Find Full Text PDFSystematic qualitative proteome-wide analysis of lysine malonylation profiling in Platycodon grandiflorus.
Amino Acids
January 2025
College of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, China.
In recent years, it was found that lysine malonylation modification can affect biological metabolism and play an important role in plant life activities. Platycodon grandiflorus, an economic crop and medicinal plant, had no reports on malonylation in the related literature. This study qualitatively introduces lysine malonylation in P.
View Article and Find Full Text PDFPorous Silicon on Paper: A Platform for Quantitative Rapid Diagnostic Tests.
ACS Appl Mater Interfaces
January 2025
Interdisciplinary Material Science Program, Vanderbilt University, Nashville, Tennessee 37235, United States.
Porous silicon (PSi) thin films on silicon substrates have been extensively investigated in the context of biosensing applications, particularly for achieving label-free optical detection of a wide range of analytes. However, mass transport challenges have made it difficult for these biosensors to achieve rapid response times and low detection limits. In this work, we introduce an approach for improving the efficiency of molecule transport in PSi by using open-ended PSi membranes atop paper substrates in a flow-through sensor scheme.
View Article and Find Full Text PDFComparative Performance of the Leading Large Language Models in Answering Complex Rhinoplasty Consultation Questions.
Facial Plast Surg Aesthet Med
January 2025
Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine, California, USA.
Various large language models (LLMs) can provide human-level medical discussions, but they have not been compared regarding rhinoplasty knowledge. To compare the leading LLMs in answering complex rhinoplasty consultation questions as evaluated by plastic surgeons. Ten open-ended rhinoplasty consultation questions were presented to ChatGPT-4o, Google Gemini, Claude, and Meta-AI LLMs.
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