This study reports the development of antibacterial ceramic scaffolds derived from natural bovine bone. The bones were processed through sequential boiling and hydrogen peroxide treatment to remove organic matter, producing porous, mineral‐rich scaffolds.
Mohamad Hassan Taherian +6 more
wiley +1 more source
In Vitro Digestion Patterns of Advanced Glycation End Products and α-Dicarbonyls in Biscuits and the Modulatory Effects of Ferulic Acid and Epicatechin. [PDF]
Peng X +7 more
europepmc +1 more source
Lysophosphatidylinositol Induced Morphological Changes and Stress Fiber Formation through the GPR55-RhoA-ROCK Pathway. [PDF]
Nakajima K +8 more
europepmc +1 more source
Diagnòstic molecular de l'al·lèrgia: noves perspectives per a l'abordatge clínic i de laboratori del pacient al·lèrgic [PDF]
Pascal Capdevila, M.
core
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Metabolomics reveals LysoPC a C17:0 (LPC 17:0) as candidate biomarker for personalized medicine in morbid obesity. [PDF]
Stefanini E +8 more
europepmc +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
Nutrigenomics of Obesity: Integrating Genomics, Epigenetics, and Diet-Microbiome Interactions for Precision Nutrition. [PDF]
Farzand A +6 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
Indigenous women's experiences, symptomology and understandings of menopause: a scoping review. [PDF]
Gore M, Morgan J.
europepmc +1 more source

