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Taiwan’s National Science and Technology Council (NSTC) has announced a study that aims to revolutionize biomedicine and agriculture with AI.
Combining Generative AI with chip technology will increase efficiency and accelerate the application of semiconductor technology in various industries. Generative AI and chip technologies can be applied to address emerging and critical disease testing needs, such as detection of DNA fragments and single antibody strains.
The National Science and Technology Council (NSTC) recently announced the introduction of the Multi-Precision Detection Chip Initiative to achieve technological breakthroughs in several areas.
The chips will also contribute to breakthroughs in the fight against pests and diseases that affect plants and animals. These are of great importance for advances in animal and plant foods and breeding techniques.
Multiple data AI and chip integration focuses on combining different types of data (such as molecular and electrophysiological signals), and NSTC’s efforts aim to improve existing medical devices by applying AI. It aims to extend its range and capabilities and provide accurate detection, diagnosis, and monitoring. Consolidated or Edge Computing.
Sample processing technology optimization involves efforts to develop efficient sample processing techniques and integrate them into chips to overcome the limitations of silicon-based chip reactions. Regarding the integration of heterogeneous materials for multiple detection analyses, various biomarker detection and analysis devices are integrated into a single biochip.
NSTC expects academic research and development to design energy-enabled tools that meet market demands and bridge industrial technology gaps. At the same time, we aim to establish rapid, affordable, low-threshold, high-dimensional detection and analysis technologies to accelerate the value-added applications of biomarkers.
Chip and system integration can be used to develop multimarker detection and analysis tools for preventive medicine and precision medicine applications. Potential multiple biomarkers can be applied for screening, recurrence monitoring, disease progression, and monitoring complications during treatment of critical diseases such as cancer, cardiovascular disease, diabetes, kidney disease, and dementia.
NSTC is also proposing chip projects for the agricultural sector. This includes collaborative proposals from agricultural and engineering research teams, chip technology experts, IC design, or process-related companies with potential applications. The goal is to leverage the application of IC design research and development, chip technology integration, and Generative AI to create biochip products and platforms while reducing detection time, cost, and human resources.
With the support of this project, the team will be able to develop multiple detection, monitoring and control chips for various pathogens. To address the health concerns associated with the consumption of agricultural products, the introduction of chip technology will establish an effective traceability system and identification method to ensure the traceability and authenticity of agricultural products.
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