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Analysis of Current Status and Influencing Factors of Psychological Distress Tolerance in Liver Cancer Patients after Interventional Therapy.
Psychiatry Clin Psychopharmacol
December 2024
Department of Operating Room, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui Central Hospital, Lishui, China.
Background: Interventional therapy, currently, has become a major method for the clinical treatment of liver cancer patients. However, interventional therapy can also lead to various toxic side effects, and combined with the impact of the disease itself, liver cancer patients often experience more severe emotional distress. Improving individuals' levels of psychological distress tolerance may reduce sensitivity to negative life events and experiences.
View Article and Find Full Text PDFSARS-CoV-2 Infection of the Central Nervous System: A Case Report.
Viruses
December 2024
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 PDFOptimized Directed Virus Evolution to Accelerate the Generation of Oncolytic Coxsackievirus B3 Adapted to Resistant Colorectal Cancer Cells.
Viruses
December 2024
Department of Applied Biochemistry, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany.
Recently, we demonstrated that the oncolytic Coxsackievirus B3 (CVB3) strain PD-H can be efficiently adapted to resistant colorectal cancer cells through dose-dependent passaging in colorectal cancer cells. However, the method is time-consuming, which limits its clinical applicability. Here, we investigated whether the manufacturing time of the adapted virus can be reduced by replacing the dose-based passaging with volume-based passaging.
View Article and Find Full Text PDFWolbachia-Based Approaches to Controlling Mosquito-Borne Viral Threats: Innovations, AI Integration, and Future Directions in the Context of Climate Change.
Viruses
November 2024
Department of Sciences and Technologies for Sustainable Development and One Health, Universita Campus Bio-Medico di Roma, 00128 Rome, Italy.
Wolbachia-based mosquito control strategies have gained significant attention as a sustainable approach to reduce the transmission of vector-borne diseases such as dengue, Zika, and chikungunya. These endosymbiotic bacteria can limit the ability of mosquitoes to transmit pathogens, offering a promising alternative to traditional chemical-based interventions. With the growing impact of climate change on mosquito population dynamics and disease transmission, Wolbachia interventions represent an adaptable and resilient strategy for mitigating the public health burden of vector-borne diseases.
View Article and Find Full Text PDFIntegrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.
Viruses
November 2024
Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. Our method bridges the gap between interpretable ML models and powerful deep learning (DL) architectures, providing comprehensive insights into the key drivers behind model predictions, especially in detecting outliers within medical data. We applied this method to analyze COVID-19 pandemic data from 2020, yielding intriguing insights.
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