External validation of PREDICT Breast v3.1 for overall survival in international cohorts, including young and invasive lobular subgroups. [PDF]
Verheul EM +17 more
europepmc +1 more source
Trapped in the Duality of Structure: An STS Approach to Engineering Ethics [PDF]
Jelsma, Jaap, Swierstra, Tjalling
core +2 more sources
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Efficient denoising in LED-based optoacoustic tomography with squeeze-and-excitation deep convolutional networks. [PDF]
Xu Y +4 more
europepmc +1 more source
North American Consortium on Rehabilitation Engineering and Technology for the Individual (NARETI) [PDF]
Bustamante, Karla +1 more
core +1 more source
Inactivating SARS‐CoV‐2 Virus with MOF‐Composites as Smart Face Masks
In situ preparation and functionalization of MOF@Cotton fabrics as smart face masks for the immobilization of proteins and inactivation viruses, such as SARS‐CoV‐2. Abstract The significant impact of the SARS‐CoV‐2 (COVID‐19) pandemic outbreak on people's lives has highlighted the urgent need for effective personal protective equipment.
Romy Ettlinger +9 more
wiley +1 more source
Occupational Hazard Among Biomedical Waste Handlers in Low-Resource Settings: A Systematic Review and Meta-Analysis. [PDF]
Satapathy P +14 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Critical uncertainties in preclinical research: Navigating trust, technology, and ethics. [PDF]
Heinla I +13 more
europepmc +1 more source
This study advances our understanding of aortic valve stenosis by capturing spatially resolved chemical and structural changes at the nanoscale. The findings highlight the potential of combined Raman and electron microscopy for understanding calcification mechanisms across diverse tissue types.
Robin H. M. Van der Meijden +11 more
wiley +1 more source

