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    5G

    Ushering in a New Era of Smart Healthcare Applications with 5G-based MEC

    by GIGABYTE
    A new epoch of smart medicine has been made possible with the proliferation of 5G. Healthcare has advanced from the treatment of symptoms to the early detection of disease and the tracking of each individual’s condition. GIGABYTE Technology offers the highly scalable, high-density E-Series Edge Servers for edge computing; by working with Alpha Networks Inc., GIGABYTE has brought the benefits of multi-access edge computing (MEC) to wearable devices and other Internet of Things (IoT) applications that will help to realize the vision of smart medicine. The compilation of big data, coupled with the low-latency characteristics of MEC, allow for faster data integration and analysis that will help healthcare providers offer customized, predictive care for their patients.
    One lasting effect of the COVID-19 pandemic is that the global healthcare industry is putting more focus on its digital transformation. Innovations that are related to smart medicine, such as wearable devices, the Internet of Things (IoT), and data sharing, may go a long way toward overcoming the challenges faced by today’s medical system and paving the way for a new era of smart healthcare applications.
    New Trend in Smart Healthcare: From Experiment-driven to Data-driven
    According to the Chinese version of the “2022 Global Health Care Outlook” report published by Deloitte, an accounting firm and professional services network, the future of smart medicine will be a paradigm shift from “experiment-driven” disease treatment to “data-driven” patient care and preventative medicine. Within the boundaries of the law and restrictions on patient privacy, a futuristic “trip to the doctor” may look like a series of zero-latency, real-time interactions conducted over wearable devices that are connected to the IoT, during which the individual’s health condition may be measured through an advanced form of telemedicine.

    Thanks to advances in big data, patient records may also be used to provide precise and personalized diagnoses, risk assessments, and immediate treatment. Taking a data-driven approach will not only improve the quality of care and enhance operational efficiency, it will also accelerate the adoption of telemedicine and precision medicine. As smart medicine and healthcare continue to develop, the entire healthcare industry will need to modernize its IT structure and initiate its digital transformation to fully digitize the provision of healthcare services.

    Learn More:
    《Tech Guide: What is Big Data, and How Can You Benefit from It?》
    《Glossary: What is IoT?》
    GIGABYTE Works with Alpha Networks Inc. to Usher in New Epoch of Smart Healthcare with MEC Applications
    The advent of 5G technology and the development of edge computing applications are two driving forces behind the wave of digital transformation that is revolutionizing the way we provide medical and healthcare services. GIGABYTE Technology’s E-Series Edge Servers are designed to provide high-density computing, high scalability, and low latency data processing. They are ideal for building a 5G network that benefits from Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC), and Massive Machine-Type Communications (mMTC) technology. Such a network may serve as the reliable and scalable hardware foundation of a Multi-access Edge Computing (MEC) networking platform, since it can quickly process a vast amount of medical data and provide timely and reliable medical services.

    Learn More:
    It is worth noting that as medical and healthcare systems are digitized, the ability to “integrate” becomes the most important challenge. Different digital devices will need to be integrated; different computing nodes will need to be integrated; and different sources of data will need to be integrated.

    GIGABYTE worked with Alpha Networks Inc. to provide an MEC platform for the 5G environment, called the Alpha MEC Platform. It specializes in connecting to different devices on the network and compiling data for subsequent analysis, integration, and application. Users may develop third-party applications with ease and establish a myriad of subsystems for different purposes, such as the simultaneous collection, storage, integration, and analysis of medical data. Not only will this help doctors treat patients, it will also help detect and warn of potential health risks. 《Glossary: What is a Data Center?》

    GIGABYTE Technology works with Alpha Networks Inc. to apply MEC technology to IoT applications that are used in the smart healthcare industry, such as wearable devices and sensors. The Alpha MEC Platform facilitates the transfer of data between these devices and the integration of data. It also uses artificial intelligence (AI) to turn predictive medicine into reality. As more and more mobile devices are connected to the internet, any smart device—even your smartphone—may become your healthcare advisor that helps to provide healthcare services anytime, anywhere.

    Learn More:
    《Witness the Digital Upgrade of Smart Medicine Using HPC and AI Tech》
    《Solution: Connect AI with AIoT to “Bring Smart to Life”》
    《Solution: Build an Environment for AI Model Training, Development, Serving, Retraining, and Data Annotation》
    《Glossary: What is Artificial Intelligence (AI)?》
    《Glossary: What is Machine Learning?》
    《Glossary: What is Inference Engine?》
    Realtion Tags
    Multi-access Edge Computing
    Big Data
    Scalability
    Edge Computing
    IoT
    5G
    vEPC (Virtual Evolved Packet Core)
    Data Center
    Machine Learning
    Inference Engine
    Artificial Intelligence
    NFV(Network Functions Virtualization)
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