Results 141 to 150 of about 43,301 (244)

Community Pharmacy Practice

International Journal of Pharmacy Practice, 2009
openaire   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

An Exploratory Study of Over-the-Counter Medication Counseling Topics in Community Pharmacies and Alignment with Counseling Frameworks. [PDF]

Pharmacy (Basel)
Chladek JS, Jaiswal L, Stone JA, Gilson AM, Watterson TL, Lehnbom EC, Moon J, Hoffins EL, Berbakov ME, Chui MA.   +9 more
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Leveraging community pharmacies for HIV services in South Africa: Opportunities and constraints. [PDF]

South Afr J HIV Med
Tembo A, Gray A, Gray A, Nyamuzihwa T, Venter FWD, Maimin J, Bayat A, Miot J, Johnston D.   +8 more
europepmc   +1 more source

Communication and management in community pharmacy

, 2020
Le pharmacien, premier acteur de santé de proximité, à un métier en perpétuelle évolution. Entre les nouvelles missions qui s’offrent à lui, le monopole pharmaceutique sans cesse remis en question et la concurrence de plus en plus agressive, le pharmacien doit s’adapter dans un environnement en mouvement.
openaire   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Improved persistence to statin therapy through a patient counseling intervention in community pharmacies - A nationwide cohort study. [PDF]

Explor Res Clin Soc Pharm
Svensberg K, Wettermark B, Eklund JR, Hajiebrahimi M, Ekenberg M, Tranberg A, Kälvemark Sporrong S.   +6 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source