Results 41 to 50 of about 502,307 (287)

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard   +8 more
wiley   +1 more source

Automatization techniques for processing biomedical signals using machine learning methods [PDF]

open access: yes, 2008
The Signal Processing Group (Department of Signal Theory and Communications, University Carlos III, Madrid, Spain) offers the expertise of its members in the automatic processing of biomedical signals.
Artés Rodríguez, Antonio
core   +1 more source

A neural probe with up to 966 electrodes and up to 384 configurable channels in 0.13 μm SOI CMOS [PDF]

open access: yes, 2017
In vivo recording of neural action-potential and local-field-potential signals requires the use of high-resolution penetrating probes. Several international initiatives to better understand the brain are driving technology efforts towards maximizing the ...
Andrei, Alexandru   +13 more
core   +1 more source

Radiotherapy Delivery in Deep Inspiration for Pediatric Patients—Final Results of the Phase II Feasibility Study TEDDI

open access: yesPediatric Blood &Cancer, EarlyView.
Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard   +11 more
wiley   +1 more source

Development of method of matched morphological filtering of biomedical signals and images [PDF]

open access: yes, 2019
Formalized approach to the analysis of biomedical signals and images with locally concentrated features is developed on the basis of matched morphological filtering taking into account the useful signal models that allowed generalizing the existing ...
Filatova, A. E.   +3 more
core  

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters

open access: yes, 2014
International audience—The biomedical imagery, the numeric communi-cations, the acoustic signal processing and many others digital signal processing applications (DSP) are present more and more everyday in the numeric world.
Houzet, Dominique   +2 more
core   +2 more sources

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

open access: yesFEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo   +2 more
wiley   +1 more source

Программно-аппаратный комплекс по цифровой обработке сигналов [PDF]

open access: yes, 2016
В процессе исследования проводилась разработка лабораторного комплекса по проектированию цифровых фильтров различного типа с использованием как программных, так и аппаратных приложений, разработка программного обеспечения для обработки биомедицинских ...
Киселева, Виктория Андреевна
core  

Medical image denoising using convolutional denoising autoencoders

open access: yes, 2016
Image denoising is an important pre-processing step in medical image analysis. Different algorithms have been proposed in past three decades with varying denoising performances.
Gondara, Lovedeep
core   +1 more source

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