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Advanced Point-of-Care Biosensors Integrated with AI and Bioinformatics

  • Bakr Ahmed Taha,
  • Ali J. Addie,
  • Adawiya J. Haider,
  • Norhana Arsad

摘要

Point-Off-Care (POC) Biosensor Bioinformatics and Artificial Intelligence (AI) bring revolution in integrated diagnostic and healthcare tools. These devices provide physical data in real-time through distributed, fast and accurate health monitoring. The importance of these technologies and the immediate need for scalable and effective clinical equipment has been exposed to global health emergency conditions such as the COVID-19 epidemic. Biosphere-of-off-concept biosphere uses advanced materials, especially hybrid nanostructure, to provide sensitivity and uniqueness while maintaining portability and economic viability. Better data analysis using AI algorithms produces results in more precisely approximate diagnoses and individual treatment regimens. In addition, bioinformatics equipment with sensors helps design and functional adaptation, improving the detection of biomarkers and increasing data-driven health services. Despite data management, regulatory compliance, budget limits and interoperability in the biosensor system, significant obstacles remain. To address these obstacles, technical, clinical and informative subjects must collaborate and be creative. Possible use of biosensors for care points is expanded beyond traditional clinical context, such as guaranteeing a bright future for this region, wearable technology, Internet of Things (IoT) and Cloud computing for domains such as food security. The use of advanced technologies is a clinical revolution that allows active, easily accessible and accurate healthcare treatments to solve global health problems.