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 +5 more
wiley +1 more source
Development of an innovative clinical pharmacy service in a urology surgical unit: a new initiative from Qatar. [PDF]
Naseralallah L +4 more
europepmc +1 more source
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 +12 more
wiley +1 more source
Clinical Outcomes Associated with the Implementation of a Dedicated Clinical Pharmacy Service in a Resource-Limited Neurocritical Intensive Care Unit. [PDF]
Sa E, Cho Y, Suh SY, Park TE, Rhie SJ.
europepmc +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
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
Enhanced Pharmacy Service Delivery Through a Pharmacy Information System at a Medical Center: A Case Study. [PDF]
Alanazi SM, Alanazi AT.
europepmc +1 more source
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 +3 more
wiley +1 more source
Getting time and building trust: unveiling the systemic, relational, and personal factors influencing clinical pharmacy service implementation in South Africa, a qualitative study. [PDF]
Crafford L +4 more
europepmc +1 more source
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Community pharmacists' perceptions of a hospital based virtual clinical pharmacy service: Findings from qualitative research. [PDF]
Bucknell L +3 more
europepmc +1 more source

