Generative AI Makes its Debut in Smart Healthcare with NVIDIA Experts at the Helm

Artificial intelligence (AI) will become a core driver of the global biomedical industry, pushing the development of smart healthcare and precision medicine to the forefront. To help the domestic industry stay ahead of these trends, the Biotechnology and Pharmaceutical Industries Promotion Office (BPIPO) will hold a seminar on October 23, titled “Generative AI in Smart Healthcare and Precision Medicine.” The event will feature experts from NVIDIA, a leading AI technology company, along with domestic industry, research, and medical experts. The seminar will also include cross-domain technology and product demonstrations near the exhibition area. Through these expert insights, the event will aim to guide biomedical professionals in leveraging AI to advance smart healthcare and precision medicine, capturing opportunities in the booming healthcare industry.

AI-Driven Healthcare Data to Grow 36% Annually, Reaching 30% of Global Data by 2025

By 2025, healthcare data is expected to grow at a compound annual growth rate of 36%, surpassing any other industry. Currently, healthcare data accounts for 30% of all global data. The main driver behind this data surge will be the integration of new sensors, medical devices, and AI technologies. These advancements will lead to innovative solutions, including new surgical tools, drug design, and early disease detection systems, improving healthcare efficiency and accuracy.

In the field of digital surgery, two key technologies—MONAI and Holoscan—will accelerate medical innovation. MONAI, an open-source AI framework designed for medical imaging analysis and diagnostics, will provide powerful tools and resources to help clinicians and researchers develop efficient AI models, speeding up the diagnostic process. Holoscan will be a platform for real-time data processing from various medical devices, enabling instant data analysis that assists in surgical navigation and monitoring. This will enhance surgical precision and safety. The seminar will explore how MONAI and Holoscan will combine to improve the overall performance of digital surgeries, reducing risks and increasing success rates to improve patient outcomes.

The seminar will also showcase the collaboration between the Industrial Technology Research Institute (ITRI) and NVIDIA. Together, they will develop a multimodal language model that integrates NVIDIA‘s accelerated software and the Jetson edge computing platform. This model will enable multimodal language applications in healthcare. Using the NeMo and NIM platforms for AI model customization will offer diverse possibilities, while TensorRT will enhance computational efficiency and real-world model applications, fostering the development of AI technologies in smart healthcare.

Seminar to Highlight AI-Driven Innovation Across Medical Fields, Enhancing Healthcare Efficiency and Shaping Biomedical Industry’s Future

Through this event, domestic biomedical professionals will gain a deeper understanding of AI’s potential applications in smart healthcare and precision medicine. This knowledge will help them seize opportunities arising from these trends, advancing the integration of technology and healthcare. As AI technology progresses, cross-domain technological integration will continue to strengthen its impact on the medical industry, becoming a significant force in driving future medical innovations.

The seminar will be held at Room 701D, Taipei Nangang Exhibition Center Hall 2. The discussion will focus on AI’s cross-domain applications in the medical industry, covering biology, medical imaging, human physiology, disease and drug research, and even hospital operations. Medical advancements will rely on the close integration of technology. The seminar will explore how the convergence of different technologies can promote innovation in medical applications, enhancing healthcare efficiency and providing new perspectives for the future development of the biomedical industry.

Seats are limited! Register now at https://reurl.cc/7dWzpD. 

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