Results 141 to 150 of about 121,439 (298)

Why do we need Pharmaceutical Care Pathways? [PDF]

, 2017
Developing a sustainable pharmaceutical care pathway is becoming very important in today’s healthcare system in Scotland. If the NHS is to ensure that communities are sharing the workload with the primary and secondary care services, the pharmacies are ...
Rooney, Laura
core  

Perceptions, Expectations, and Experience of Physicians About Pharmacists and Pharmaceutical Care Services in Pakistan: Findings and Implications. [PDF]

Front Pharmacol, 2021
Hayat K, Mustafa ZU, Godman B, Arshed M, Zhang J, Khan FU, Saleem F, Lambojon K, Li P, Feng Z, Fang Y.   +10 more
europepmc   +1 more source

Legal nature of pharmaceutical care in Poland—health benefit or pharmaceutical service?

Ekonomia
This article discusses the legal nature of pharmaceutical care in Poland. The purpose of this article is an attempt to determine the status of pharmaceutical care after the enactment of the Pharmaceutical Profession Act. The separation of pharmaceutical care from pharmaceutical services in this Act aims to emphasize its priority in fulfilling the ...
Konrad Żak, Łukasz Żak
openaire   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Paradigms in Operation: Pharmaceutical Benefit Assessments in England and Germany [PDF]

, 2015
The assessment of the benefits of pharmaceutical products through health technology assessments (HTAs) has become a feature of health care decision-making in numerous OECD countries, including England and Germany.
Kieslich, K
core  

Pharmaceutical care services for people living with HIV/AIDS in Brazil: a scoping review of health-related outcomes

Pharmaceutical Care España
Objective: To identify pharmaceutical care services provided to individuals living with HIV/AIDS in Brazil and their associated outcomes. Methods: A scoping review was conducted using PubMed, Scopus, and LILACS.
Ana Elisa Palha Guerra, Beatriz Cristina Betarelli, Ana Luiza da Silva Selani, Natan Piran Soares, Marcela Forgerini   +4 more
doaj   +1 more source

Recommendations and guidance for providing pharmaceutical care services during COVID-19 pandemic: A China perspective. [PDF]

Res Social Adm Pharm, 2021
Zheng SQ, Yang L, Zhou PX, Li HB, Liu F, Zhao RS.   +5 more
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source