BEYOND TRADITIONAL LATERAL FLOW ASSAYS: ENHANCING PERFORMANCE THROUGH MULTIANALYTICAL STRATEGIES




Development and External Validation of an Artificial Intelligence-Based Method for Scalable Chest Radiograph Diagnosis: A Multi-Country Cross-Sectional Study

Problem: Chest radiography is a crucial tool for diagnosing thoracic disorders, but interpretation errors and a lack of qualified practitioners can cause delays in treatment.Aim: This study aimed to develop a reliable multi-classification artificial intelligence (AI) tool to improve the accuracy and efficiency of chest radiograph diagnosis.Methods:

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The Energy Footprint of 5G Multi-RAT Cellular Architectures

While environmental and financial reasons point to the minimization of the number of radio sites to contain energy use, emissions, and operating expenses of cellular networks, the industry has, in retrospect, partly headed in the opposite direction.The reasons are the deployment here of new technologies alongside the existing ones, the use of highe

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