Taiwan’s National Health Research Institutes (NHRI) and ASUS Group have partnered to advance medical research using supercomputers. The collaboration will focus on computing power, data, and next-generation medical information. They aim to create a model similar to the UK’s “Cambridge-1” in Taiwan.
The NHRI first worked with ASUS in 2022 to establish “NHRI-1,” applying AI technology to smart healthcare. In June 2024, they signed a Memorandum of Understanding (MOU) on “Medical Information Technology and Biomedical Big Data Research and Application.” This joint initiative will use medical big data to advance research in the AI age.
Supercomputers combined with AI are already widely used for various purposes like weather forecasting, drug development, and disease diagnosis. However, challenges in biochemistry, optimization problems, and cryptography may require large-scale quantum computers. Nvidia’s “Cambridge-1” in the UK is focused on accelerating healthcare research in areas like medical imaging, genomics, and drug development. Established in 2021, it offers significant performance for AI and computational tasks. Nvidia has also established “Taipei-1” in Taiwan, aimed at academia and commercial use. Additionally, the National Center for High-Performance Computing (NCHH) is building “Forerunner 1,” a supercomputer dedicated to various research fields.
These collaborations and initiatives demonstrate a significant step forward in leveraging technology for advanced medical research and data analysis. Supercomputers and AI are playing crucial roles in advancing healthcare and scientific research in the modern age.
In conclusion, the partnership between ASUS Group and NHRI is an important step towards advancing medical research using supercomputers. By utilizing computing power, data analysis capabilities, next-generation medical information technologies, they aim to create a model similar to the UK’s “Cambridge-1” that can accelerate healthcare research across multiple areas such as medical imaging, genomics, drug development etc.
This collaboration signifies a significant investment of time and resources towards leveraging technology for advanced scientific research that can benefit society at large by improving health outcomes through better diagnosis tools or more effective treatments.
Overall this partnership demonstrates how far we have come with technology integration into healthcare industry but also shows there’s still much work left to be done as we continue our journey towards precision medicine which requires powerful computing systems capable of processing massive amounts of complex data sets that would otherwise take years or even decades for humans alone to analyze accurately.
