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http://dx.doi.org/10.1016/j.wneu.2024.08.011 | DOI Listing |
IEEE Trans Pattern Anal Mach Intell
September 2025
The spectacular success of training large models on extensive datasets highlights the potential of scaling up for exceptional performance. To deploy these models on edge devices, knowledge distillation (KD) is commonly used to create a compact model from a larger, pretrained teacher model. However, as models and datasets rapidly scale up in practical applications, it is crucial to consider the applicability of existing KD approaches originally designed for limited-capacity architectures and small-scale datasets.
View Article and Find Full Text PDFNeurosurgery
September 2025
Department of Neurosurgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
The integration of mobile health (mHealth) technologies is transforming neurosurgery. Despite its potential, many uses remain unrealized due to the unique challenges and complexity of developing mHealth technology. While neurosurgeons bring invaluable clinical expertise and an understanding of patient needs, the technical intricacies of application development often require collaboration with developers and computer scientists, a process that can feel unfamiliar and difficult to navigate.
View Article and Find Full Text PDFCurr Opin Urol
September 2025
European Association of Urology Section of Endourology (ESEUT), Arnhem, The Netherlands.
Purpose Of Review: This opinion article from the EAU Endourology Section critically summarizes the existing evidence on flexible and navigable suction ureteral access sheaths (FANS) to determine if they represent a paradigm shift in managing kidney and ureteral stones with flexible ureteroscopy (FURS). This scoping review aims to synthesize recent findings on FANS efficacy, safety, and potential to overcome limitations of conventional ureteral access sheath (C-UAS) and other modalities.
Recent Findings: Current evidence demonstrates FANS significantly outperforms C-UAS.
J Vis Exp
August 2025
Molemuse Biotech Studio;
Mass spectrometry (MS)-based proteomics data, including Data-Dependent Acquisition (DDA) and Data-Independent Acquisition (DIA), are widely used in biological research. However, the application of these datasets in validation studies is still limited due to the lack of clear demonstrations on how to effectively search and analyze proteomic data. To fill this gap, we selected one DDA and one DIA dataset deposited in the PRoteomics IDEntifications Database (PRIDE) data repository to better illustrate the proteomic data analysis workflow and downstream post-processing of protein search results.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Department of Health Services Research & Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.
Background: With the availability of more advanced and effective treatments, life expectancy has improved among patients with metastatic breast cancer (MBC), but this makes communication with their medical oncologist more complex. Some patients struggle to learn about their therapeutic options and to understand and articulate their preferences. Mobile health (mHealth) apps can enhance patient-provider communication, playing a crucial role in the diagnosis, treatment, quality of life, and outcomes for patients living with MBC.
View Article and Find Full Text PDF