Results 171 to 180 of about 171,004 (312)

Stocking Opioids in Community Pharmacies [PDF]

Journal of Pain and Symptom Management, 2001
openaire   +2 more sources

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Development and validation of the 9-item Patient Satisfaction Questionnaire (PSQ-9) for use in community pharmacy settings. [PDF]

J Pharm Policy Pract
Sakr F, Dabbous M, Safwan J, El Bakri M, Rahal M, Salameh P.   +5 more
europepmc   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Community Pharmacy Density Across Remote, Rural, Regional and Metropolitan Areas of Australia: An Ecological Study. [PDF]

Aust J Rural Health
Leach MJ, Griffin E.
europepmc   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Antimicrobial stewardship: coming to a community pharmacy near you? A cross-sectional study to understand the perspectives of pharmacists, prescribers and the public. [PDF]

Antimicrob Steward Healthc Epidemiol
Langford BJ, Vigneswaran S, Daneman N, Ha R, Ho C, Ko L, Leung V, Levinson W, Maximos M, Neudorf K, Ng A, Papastergiou J, Raybardhan S, Schwartz KL, Smith M, Szymczak JE, Tadrous M, Tam K, Warshafsky D, So M.   +19 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Patient preferences for community pharmacy service models in diabetes care: a discrete choice experiment. [PDF]

Int J Clin Pharm
Sun Y, Jia Z, Lan L, Xie X, Xie H, Ji C.
europepmc   +1 more source

The Changing Landscape of Maintenance Therapy in Newly Diagnosed Multiple Myeloma: A Systematic Review With Network Meta‐Analysis of the European Myeloma Network (EMN)

American Journal of Hematology, EarlyView.
Our meta‐analysis showed significant improvement of PFS with lenalidomide, proteasome inhibitors, and CD38‐based therapies. A significant OS benefit was noted only with lenalidomide in transplant‐eligible (TE) patients, while CD38‐directed therapy showed a trend toward improved OS.
Heinz Ludwig, Evangelos Terpos, Francesca Gay, Niels W. C. J. van de Donk, Sarah Bernhard, Monika Engelhardt, Gordon Cook, Fredrik Schjesvold, Hermann Einsele, Graham Jackson, Charlotte Pawlyn, María‐Victoria Mateos, Sonja Zweegman, Martin Schreder, Meral Beksaç, Christoph Driessen, Enrique M. Ocio, Rakesh Popat, Leo Rasche, Cyrille Touzeau, Pellegrino Musto, Annemiek Broijl, Meletios Dimopoulos, Roman Hajek, Mario Boccadoro, Pieter Sonneveld   +25 more
wiley   +1 more source