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Strategic interventions and a novel model for the integration of community pharmacy and primary care in Spain: qualitative insights.
BMJ Open
December 2024
Pharmaceutical Care Research Group, University of Granada Faculty of Pharmacy, Granada, Spain.
Objectives: To explore the opinions and perceptions of key stakeholders on the integration between community pharmacy and primary care, within the Valencian Autonomous Community. Specific objectives include identifying strategic interventions to facilitate this integration. Additionally, the manuscript discusses the formulation of a novel model for the integration of community pharmacy and primary care.
View Article and Find Full Text PDFImage-Guided Musculoskeletal Interventional Radiology in the Personalised Management of Musculoskeletal Tumours.
J Pers Med
December 2024
Royal Orthopedic Hospital, Birmingham B31 2AP, UK.
Musculoskeletal image-guided interventional radiology plays a key role in diagnosing and treating a range of conditions. Recent advances have yielded a wide variety of procedures that can be applied selectively and enable the personalisation of patient care. This review aims to outline the indications, applications, and techniques of subspecialist musculoskeletal oncology interventional procedures that were used at our tertiary referral centre with a focus on how these may be used to personalise patient management.
View Article and Find Full Text PDFStUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.
BMJ Open
December 2024
Kolling Institute, Northern Sydney Local Health District, St Leonards, New South Wales, Australia.
Introduction: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the last 20 years. Consequently, over 40 000 pregnancies are now diagnosed as 'higher risk' each year. This has increased antenatal surveillance and obstetric intervention, often in the form of delivery earlier than 39 weeks gestation.
View Article and Find Full Text PDFThis paper develops a method for cancer classification from microRNA data using a convolutional neural network (CNN)-based model optimized by genetic algorithm. The convolutional neural network has performed well in various recognition and perception tasks. This paper contributes to the cancer classification using a union of two CNNs.
View Article and Find Full Text PDFInnovative strategies to optimise colorectal cancer immunotherapy through molecular mechanism insights.
Front Immunol
December 2024
Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Colorectal cancer (CRC) is a leading cause of cancer-related deaths globally. The heterogeneity of the tumor microenvironment significantly influences patient prognosis, while the diversity of tumor cells shapes its unique characteristics. A comprehensive analysis of the molecular profile of tumor cells is crucial for identifying novel molecular targets for drug sensitivity analysis and for uncovering the pathophysiological mechanisms underlying CRC.
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