Taiwan’s Leading Medical Centers Tap Accelerated Computing Tech for Biomedical Research
Taiwan’s top medical institutions, the National Health Research Institute (NHRI) and Chang Gung Memorial Hospital (CGMH), are pioneering the integration of accelerated computing and generative AI by US-headquartered technology company Nvidia to advance biomedical research and patient care. These technologies are purported to enhance medical imaging, streamline clinical workflows, and advance drug discovery research.
Dr. Hung-Yi Chiou of NHRI referred to the AI’s transformative potential in healthcare, highlighting its capacity to swiftly analyze vast data, enabling personalized medicine and early intervention strategies. Dr. Wen-Jin Cherng of CGMH adds that AI-driven smart healthcare will enhance diagnostic accuracy, treatment predictions, and patient recovery, making healthcare more efficient and cost-effective.
The Nvidia Blackwell platform is central to these advancements, allowing the integration of advanced AI capabilities into medical practices. NHRI, Taiwan’s leading biomedical research institution, is leveraging Nvidia’s accelerated computing for large language model development tailored to Taiwan’s healthcare needs, addressing unique challenges like language variations and precise genomic interpretations.
CGMH, with its extensive network of hospitals, is utilizing Nvidia’s powerful hardware, including DGX A100 systems, for medical imaging and other applications. This infrastructure supports clinical decision systems, patient interaction robots, advanced medical imaging, precision medicine, and AI service expansion, ensuring patient data privacy and faster data processing.
Both NHRI and CGMH are committed to using AI to tackle public health issues, such as predicting chronic disease risks through genetic and environmental data analysis, and improving patient outcomes through innovative AI applications. These efforts position Taiwan at the forefront of biomedical research and healthcare innovation, driven by the capabilities of NVIDIA accelerated computing.
Source: Nvidia/CGMH
Category: Features, Technology & Devices
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