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SARS-CoV-2 Infection of the Central Nervous System: A Case Report.
Viruses
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Department of Medical Oncology, Medical University of Sofia, University Hospital "Tsaritsa Yoanna", 1527 Sofia, Bulgaria.
Central nervous system (CNS) infections caused by SARS-CoV-2 are uncommon. This case report describes the clinical progression of a 92-year-old female who developed a persistent neuroinfection associated with SARS-CoV-2. The patient initially presented with progressive fatigue, catarrhal symptoms, and a fever (38.
View Article and Find Full Text PDFCombining radiotherapy with targeted therapy benefits patients with advanced epidermal growth factor receptor-mutated non-small cell lung cancer (EGFRm NSCLC). However, the optimal strategy to combine EGFR tyrosine kinase inhibitors (TKIs) with radiotherapy for maximum efficacy and minimal toxicity is still uncertain. Notably, EVs, which serve as communication mediators among tumor cells, play a crucial role in the anti-tumor immune response.
View Article and Find Full Text PDFDevelopment of a Virtual Robot Rehabilitation Training System for Children with Cerebral Palsy: An Observational Study.
Sensors (Basel)
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Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.
This paper presents the development of a robotic system for the rehabilitation and quality of life improvement of children with cerebral palsy (CP). The system consists of four modules and is based on a virtual humanoid robot that is meant to motivate and encourage children in their rehabilitation programs. The efficiency of the developed system was tested on two children with CP.
View Article and Find Full Text PDFImage Synthesis in Nuclear Medicine Imaging with Deep Learning: A Review.
Sensors (Basel)
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Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju 61186, Jeollanam-do, Republic of Korea.
Nuclear medicine imaging (NMI) is essential for the diagnosis and sensing of various diseases; however, challenges persist regarding image quality and accessibility during NMI-based treatment. This paper reviews the use of deep learning methods for generating synthetic nuclear medicine images, aimed at improving the interpretability and utility of nuclear medicine protocols. We discuss advanced image generation algorithms designed to recover details from low-dose scans, uncover information hidden by specific radiopharmaceutical properties, and enhance the sensing of physiological processes.
View Article and Find Full Text PDFMolecular Targeting of Ischemic Stroke: The Promise of Naïve and Engineered Extracellular Vesicles.
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Laboratory of Stem Cells and Tissue Regeneration, Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Ischemic stroke (IS) remains a leading cause of mortality and long-term disability worldwide, with limited therapeutic options available. Despite the success of early interventions, such as tissue-type plasminogen activator administration and mechanical thrombectomy, many patients continue to experience persistent neurological deficits. The pathophysiology of IS is multifaceted, encompassing excitotoxicity, oxidative and nitrosative stress, inflammation, and blood-brain barrier disruption, all of which contribute to neural cell death, further complicating the treatment of IS.
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