Results 151 to 160 of about 819,937 (301)
Stratification system for pharmaceutical care in cancer patients: Chinese expert consensus. [PDF]
Chen Y +14 more
europepmc +1 more source
Selective Benzene Capture by Metal‐Organic Frameworks
Metal‐organic frameworks (MOFs) hold significant potential for capturing benzene from air emissions and hydrocarbon mixtures in liquid phases. This capability stems from their precisely engineered structures, versatile chemistries, and diverse binding interactions.
Zongsu Han +4 more
wiley +1 more source
Pharmaceutical Care Through Women's Eyes: Insights from a Cross-Sectional Study in Jordan. [PDF]
Naser AY, Al-Azzam S, Alsharif AA.
europepmc +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Patients' Perspectives on Pharmaceutical Care Interventions in a Secondary-Care Hospital in Nigeria: A Cross-Sectional Survey. [PDF]
Umaru OT, Aremu TO.
europepmc +1 more source
Spurious correlation in estimation of the health production function: A note [PDF]
In this paper, we address the issue of spurious correlation in the production of health in a systematic way. Spurious correlation entails the risk of linking health status to medical (and nonmedical) inputs when no links exist.
Boriss Siliverstovs +3 more
core
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
A Multidimensional Framework for Pharmaceutical Care to Enhance Medication Adherence and Patient Engagement: The CMO-MAPEX Model. [PDF]
Morillo-Verdugo R +4 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

