Correction "<i>ACS Bio & Med Chem Au</i>: Introducing the 2024 Rising Stars in Biological, Medicinal, and Pharmaceutical Chemistry". [PDF]
Booker SJ.
europepmc +1 more source
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley +1 more source
Leveraging an intelligent slug flow platform for self-optimization of reaction systems with categorical variables. [PDF]
Wagner FL +6 more
europepmc +1 more source
Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel +5 more
wiley +1 more source
Two sustainable chromatographic approaches for estimation of new combination of phenylephrine hydrochloride and doxylamine succinate in presence of doxylamine oxidative degradation product. [PDF]
Abd El-Hadi HR.
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A slippery coating with exceptional anti‐biofouling performance is developed using biocompatible materials for oesophagus stents. Host‐guest inclusion complex formation capabilities of FDA‐approved supramolecules, cyclodextrins are exploited, which significantly enhances the stability of the surface.
Jianhui Zhang +7 more
wiley +1 more source
RETRACTED: Dua et al. Myricitrin, a Glycosyloxyflavone in <i>Myrica esculenta</i> Bark Ameliorates Diabetic Nephropathy via Improving Glycemic Status, Reducing Oxidative Stress, and Suppressing Inflammation. <i>Molecules</i> 2021, <i>26</i>, 258. [PDF]
Dua TK +6 more
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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
Green remediation: <i>Casuarina equisetifolia</i> fruit-based activated carbon for pharmaceutical removal. [PDF]
Al-Ma'abreh AM +5 more
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