Results 151 to 160 of about 121,439 (298)
[Supply of pharmaceutical care services: The key to a new model of health services]. [PDF]
Calvo Hernáez B +5 more
europepmc +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
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 +4 more
wiley +1 more source
THE INFLUENCE OF PHARMACEUTICAL CARE SERVICES MODEL IN PRESCRIPTION DRUGS ON PHARMACIST'S BEHAVIOR IN PHARMACEUTICAL CARE [PDF]
A Study to develop pharmaceutical care model based on pharmacist responsibility behaviour {Knowledge, Attitude, Practice or KAP} in performing therapeutic communication with the patients to fulfil drug related need was done.
Athiyah, Umi
core
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Does Pharmaceutical Price Regulation Affect the Adoption of Generic Competition? Evidence from the OECD, 1999-2008 [PDF]
Generic competition in the pharmaceutical market is an effective cost-containment mechanism that improves static efficiency and stimulates pharmaceutical innovation. There is no prior study that has empirically analysed the relative delays in adoption of
Nebibe Varol +2 more
core
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
The development of an integrated system for the management of pharmaceutical and surgical consumable products across a group of private hospitals : innovation report [PDF]
Continued pressure to reduce costs and manage healthcare delivery in risk-based reimbursement environments, has, internationally, resulted in hospitals adopting different methods to manage pharmaceutical and surgical consumable products.
Van den Bergh, Dena
core
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source

