Results 251 to 260 of about 24,961,776 (358)
High Dynamic Range Thin‐Film Resistive Flow Sensors for Monitoring Diverse Biofluids
Thin‐film resistive flow sensors with thermoresistive and piezoresistive mechanisms are developed for biofluid monitoring. Fabricated using biocompatible materials and laser micromachining, the devices achieve sub‐millimeter dimensions and a broad dynamic range.
Latifah Almulla+2 more
wiley +1 more source
Simulation-based survey of TMEM16 family reveals that robust lipid scrambling requires an open groove. [PDF]
Stephens CA+3 more
europepmc +1 more source
Lanthanide ytterbium ions are introduced into Bi2WO6 nanosheets to boost ROS generation under US stimulation. These ytterbium‐doped Bi2WO6 nanosheets serve as efficient sonosensitizers, enabling broad‐spectrum bacterial eradication. To improve biocompatibility for in vivo sonodynamic therapy, the sonosensitizers are integrated into hydrogel matrix ...
Xinyue Lao+6 more
wiley +1 more source
Buckling‐resistant and trace‐stacked (BRATS) intracortical microelectrode arrays (MEAs) eliminate the need for insertion aid and complex surgical setup, resulting in minimal inflammatory tissue response, compared to conventional flexible MEAs inserted with aid. Trace stacking effectively doubled the channel count without increasing the MEA shank width,
May Yoon Pwint, Delin Shi, X. Tracy Cui
wiley +1 more source
The Effect of Various Dietary Lipids on the Blood Plasma Polyunsaturated Fatty Acids of Dairy Calves
R.S. Allen+3 more
openalex +1 more source
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
Engineering of lipid membranes asymmetrically functionalized with chondroitin sulfate.
Rodríguez-García T+8 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