Results 231 to 240 of about 481,175 (277)
This work presents the first example of multifunctional protein eutectogels based on a tannic acid: betaine low‐transition‐temperature mixture, exhibiting elastomeric behavior, strong adhesion to various substrates, including biological tissues, and notable anti‐inflammatory properties derived from the natural polyphenol and zwitterion.
Sergio Martin‐Saldaña +8 more
wiley +1 more source
Leveraging an Open-Access Digital Design Notebook for Graduate Biomedical Engineering Education in Nigeria. [PDF]
Casserly P +4 more
europepmc +1 more source
Sucrose‐derived porous carbon network (SPINE‐C) is formed within CNT fibers via FCCVD, bridging inter‐bundles of CNTs and increasing surface area through introduced microporosity. As a result, both mechanical and electrochemical properties are simultaneously enhanced, leading to a 2.8‐fold increase in the power density of a mechano‐electrochemical ...
Hocheol Gwac +9 more
wiley +1 more source
A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu +8 more
wiley +1 more source
Device Integration Technology for Practical Flexible Electronics Systems
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa +5 more
wiley +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
Incorporating a Hands-On Device-Based Activity in a Human Factors Biomedical Engineering Course in Sub-Saharan Africa. [PDF]
Vweza AO +3 more
europepmc +1 more source

