Author name: Customer Service Department

Wu Hanzhang: Who should pay for smart healthcare?

Smart healthcare offers significant benefits but is also costly, with the burden of payment yet to be clearly defined. Hospitals benefit from technological innovation but face limited budgets; healthcare insurance bears a heavy burden and is constrained by resources. Government funding or encouragement of private investment in smart healthcare could potentially address this. Multi-party collaboration is needed to improve healthcare efficiency and enhance public health. Finding a balance is crucial to finding feasible solutions for smart healthcare.

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Wu Hanzhang: Medical Innovation Requires Trustworthy AI

Generative AI applications are rapidly emerging, but privacy and ethical issues must be carefully addressed to ensure trustworthy applications. Regulatory frameworks are gradually emerging, emphasizing trustworthy AI. Caution is needed regarding training, data, and computing power to ensure legality and privacy. Trustworthy AI is key to digital transformation.

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The AI wave will drive Taiwan's biotechnology industry.

"Computer Show Outlook: The successful post-pandemic event attracted numerous buyers. NVIDIA CEO Jensen Huang's speech encouraged Taiwan's ICT industry to embrace the generative AI trend, which will drive new developments in the biotechnology field. Generative AI will assist in new drug development, precision health, and biomanufacturing, accelerating innovation and discovery, enhancing the competitiveness of Taiwan's biotechnology industry, and propelling future prosperity."

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Wu Hanzhang: Opportunities Brought by Generative AI

Generative AI technology is playing an increasingly important role in the healthcare field. Its high degree of automation and accuracy makes it a powerful tool for predicting diseases, diagnosing patients, and discovering new treatments. By analyzing patient records, generative AI can help physicians predict future health conditions and potential disease risks, providing earlier prevention and treatment measures. Furthermore, generative AI can quickly and accurately diagnose diseases, such as in lung imaging analysis. It can also accelerate new drug development, discover new drug targets, and predict their efficacy and safety. Combined with whole-genome sequencing technology, generative AI can provide more personalized treatment options, improve treatment outcomes, and reduce the risk of adverse reactions. Overall, generative AI technology brings opportunities for precision and innovation to the healthcare field, while also requiring attention to the challenges of protecting patient data privacy. Taiwan is working on developing trustworthy generative AI for healthcare through research on the Taiwan Sugi-2 AI supercomputer to provide smarter and more reassuring medical services.

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Wu Hanzhang: Vision for the Development of the Medical Information Industry

This article discusses the current status and challenges of digital healthcare development in Taiwan and offers suggestions. Taiwan's healthcare information industry is relatively small, with large hospitals mostly developing their own healthcare information systems. The technology of these existing systems is gradually falling behind cloud-based software architectures. Furthermore, the percentage of software talent invested in healthcare information over the past decade has been very low, hindering the realization of the digital healthcare aspirations of the nation. However, the Ministry of Health and Welfare began planning a next-generation healthcare information system last year, with a planned large budget to address the outdated architecture of Taiwan's current healthcare information systems. The author proposes that this is an opportune time to restructure Taiwan's healthcare information industry, encouraging large hospitals to gradually shift towards purchasing high-quality products and actively fostering large, internationally-capable flagship healthcare information companies that can provide reliable and highly scalable healthcare information solutions, possess integrated comprehensive patient data, interface with international data standards, export to overseas markets, and establish an application ecosystem. Ultimately, Taiwan's healthcare information infrastructure can connect with the international market, potentially attracting top-tier digital software talent to continue investing in the field.

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Wu Hanzhang: Large Language Models Open New Horizons in Medical AI

ChatGPT is a chatbot service based on the GPT-3 language model. It can understand multiple languages, including Chinese, and provide unexpected responses, sparking interest in artificial intelligence. This type of chatbot can be applied not only to personal healthcare assistants but also to emerging medical services such as telemedicine, giving healthcare institutions the opportunity to provide more realistic care services.

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How to install WSL (Windows Server 2019) on a virtual computing operating system?

TWCC's VCS service primarily provides Windows Server image files for users to use. However, in some use cases, there may be a need to switch between two operating systems simultaneously. This article explains how to deploy a Windows Subsystem for Linux on a virtual computing instance in TWCC.

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Wu Hanzhang: The era of precision health for all is coming.

At the opening of the Executive Yuan Biotechnology Industry Strategy Advisory Committee (BTC) meeting in September this year, the vision of precision health for all ages by 2030 was announced, successfully focusing on Taiwan's BIO + ICT development goals.
Realizing the vision of precision health requires three key technologies: gene sequencing, data analysis, and big data. In data analysis, AI supercomputers can reduce computational demands from days to less than an hour. Taiwan's National Health Research Institutes (NHRI), through its BIO research, unveiled the NHR-1 biomedical AI supercomputer earlier this year. Combined with existing abundant gene sequencing research capabilities, the subsequent research results are highly anticipated.

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How to Build a Containerized Environment with CPU Computing

Currently, TWCC's container environment is equipped with GPU computing resources. For users who need to use CPU computing resources and containerized environments in some scenarios, enabling development-oriented containers just to use their containerized environment cannot meet their needs. Therefore, this article provides a method for setting up a containerized environment using TWCC virtual computing instance to meet such use cases.

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