Results 131 to 140 of about 171,004 (312)

Community Pharmacy Handbook

Journal of Pharmacy & Pharmaceutical Sciences, 2008
Nese Yuksel, Andreana Marcinkow
doaj   +1 more source

Return‐To‐Work and Working Status After Surgery for Gastric and Esophageal Cancer: A Prospective Observational Study

Annals of Gastroenterological Surgery, EarlyView.
In this multicenter prospective study of 158 working‐age patients undergoing curative‐intent surgery for gastric or esophageal cancer, 78.5% were working at 18 months. Postoperative appetite loss, financial difficulties, and ≥ 10% weight loss at 6 months were associated with non‐working status.
Kentaro Goto, Shigeo Hisamori, Kohei Ueno, Hiroyasu Abe, Ryosuke Okamura, Hisahiro Hosogi, Yoshito Yamashita, Dai Manaka, Hiroaki Hata, Tatsuto Nishigori, Sanae Nakajima, Michihiro Yamamoto, Koichi Kinoshita, Shintaro Okumura, Masazumi Sakaguchi, Shigeru Tsunoda, Yu Sakagami, Koya Hida, Kazutaka Obama   +18 more
wiley   +1 more source

Community pharmacy experiential placement: Comparison of preceptor and student perspectives in an Australian postgraduate pharmacy programme [PDF]

, 2013
Background: Community Pharmacy Placements are an integral component of the pharmacy curriculum. Their success relies heavily on the willingness and capability of pharmacists to precept.
Mey, A, Smith, NA, Fejzic, J, Henderson, A   +3 more
core  

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

APOM-project : a study of pharmacy practice [PDF]

In 1994, a Ph.D-study started regarding pharmacy, organization and management (APOM) in the Netherlands. The APOM-project deals with the structuring and steering of pharmacy organization.
Mobach, Mark P., Werf, Jos J. van der, Tromp, T.F.J.   +2 more
core   +1 more source

Optimizing care transitions: the role of the community pharmacist

Integrated Pharmacy Research and Practice, 2016
Karleen T Melody, Elizabeth McCartney, Sanchita Sen, Gladys Duenas Department of Pharmacy Practice, Philadelphia College of Pharmacy, University of the Sciences, Philadelphia, PA, USA Abstract: Transitions of care (TOC) refer to the movement of patients
Melody KT, McCartney E, Sen S, Duenas G
doaj  

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Piloting extended services in community pharmacy practice [PDF]

Community pharmacists can support patient management by offering extended services tailored to patient needs. Studies in Malta reported that community pharmacists are in favour of expanding their roles and consumers are in agreement with extended ...
Wirth, Francesca, Rivera, Valerie A., Azzopardi, Lilian M., 52nd ESCP Symposium on Clinical Pharmacy   +3 more
core  

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Dispensary Prompt Cards in Community Pharmacy Practice: An Evaluation [PDF]

, 2010
BACKGROUND Dispensary prompt cards are commonly used by Australian pharmacies to facilitate communication between staff to improve patient service quality and the safety and efficiency of medication supply.
Hope, Denise, McMillan, Sara, Yeates, Gilbert, Nguyen, Barbara Rush, Farrow, Lauren   +4 more
core