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During the COVID-19 pandemic, there has been a significant increase in the use of internet resources for accessing medical care, resulting in the development and advancement of the Internet of Medical Things (IoMT). This technology utilizes a range of medical equipment and testing software to broadcast patient results over the internet, hence enabling the provision of remote healthcare services. Nevertheless, the preservation of privacy and security in the realm of online communication continues to provide a significant and pressing obstacle. Blockchain technology has shown the potential to mitigate security apprehensions across several sectors, such as the healthcare industry. Recent advancements in research have included intelligent agents in patient monitoring systems by integrating blockchain technology. However, the conventional network configuration of the agent and blockchain introduces a level of complexity. In order to address this disparity, we present a proposed architectural framework that combines software defined networking (SDN) with Blockchain technology. This framework is specially tailored for the purpose of facilitating remote patient monitoring systems within the context of a 5G environment. The architectural design contains a patient-centric agent (PCA) inside the SDN control plane for the purpose of managing user data on behalf of the patients. The appropriate handling of patient data is ensured by the PCA via the provision of essential instructions to the forwarding devices. The suggested model is assessed using hyperledger fabric on docker-engine, and its performance is compared to that of current models in fifth generation (5G) networks. The performance of our suggested model surpasses current methodologies, as shown by our extensive study including factors such as throughput, dependability, communication overhead, and packet error rate.
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http://dx.doi.org/10.1038/s41598-024-55662-w | DOI Listing |
JMIR Res Protoc
September 2025
Department of Medical Oncology, Early Phase Unit, Georges-François Leclerc Centre, Dijon, France.
Background: Sarcomas are rare cancer with a heterogeneous group of tumors. They affect both genders across all age groups and present significant heterogeneity, with more than 70 histological subtypes. Despite tailored treatments, the high metastatic potential of sarcomas remains a major factor in poor patient survival, as metastasis is often the leading cause of death.
View Article and Find Full Text PDFIntroduction: Genetic analysis is essential for diagnosing, treating, and predicting complications in neonatal diabetes mellitus (NDM) but is unavailable in some regions. Sulfonylureas are effective for NDM caused by KCNJ11 or ABCC8 mutations, which are among the most common genetic causes, therefore they are often given before genetic testing. Unfortunately, in certain ethnicities, this mutation rarely occurs.
View Article and Find Full Text PDFClin Transl Oncol
September 2025
Ophthalmology Unit, Cannizzaro Hospital, 95126, Catania, Italy.
Antibody-drug conjugates (ADCs) represent a promising therapeutic approach in gynecologic cancers, particularly ovarian and cervical malignancies. Agents such as mirvetuximab soravtansine, and tisotumab vedotin, targeting folate receptor alpha and tissue factor, respectively, reported clinical efficacy in patients with limited options. However, their use is associated with ocular toxicities, including keratopathy, blurred vision, and dry eye, which may impact adherence and quality of life.
View Article and Find Full Text PDFNeurosurg Rev
September 2025
Department of Neurosurgery, University Hospital of Ioannina, Ioannina, Greece.
Background: The aim of this review is to present the role of intraoperative flow cytometry (IFC) in the intracranial tumor surgery. This scoping review aims to summarize current evidence on the intraoperative use of IFC in patients with intracranial tumors.
Methods: A comprehensive literature search was conducted in the Medline, Cochrane and Scopus databases up to January 21, 2025.
J Cancer Res Clin Oncol
September 2025
Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany.
Purpose: The German sector-based healthcare system poses a major challenge to continuous patient monitoring and long-term follow-up, both essential for generating high-quality, longitudinal real-world data. The national Network for Genomic Medicine (nNGM) bridges the inpatient and outpatient care sectors to provide comprehensive molecular diagnostics and personalized treatment for non-small cell lung cancer (NSCLC) patients in Germany. Building on the established nNGM infrastructure, the DigiNet study aims to evaluate the impact of digitally integrated, personalized care on overall survival (OS) and the optimization of treatment pathways, compared to routine care.
View Article and Find Full Text PDF