麦澜德：在脑机接口领域，公司聚焦非侵入式脑机接口方向

Core Insights - The company is deepening the application of AI in pelvic rehabilitation, utilizing clinical big data and large model technology for intelligent analysis and personalized treatment plans for patients [1] - The company is advancing the application of AI in enterprise-level scenarios, developing an intelligent interaction system based on large language models (LLM) and vertical knowledge bases, providing professional medical report interpretation and personalized training plans for pelvic disease patients [1] - The company is integrating multi-dimensional biological data with AI algorithms to create an intelligent beauty diagnosis and treatment platform, covering the entire process from detection to intervention [1] - In the brain-computer interface field, the company focuses on non-invasive brain-computer interfaces and has accumulated technology in upper limb and hand movement robotics, non-invasive neural regulation, and multi-modal physiological signal collection [1] - The company is actively promoting the development of multi-modal closed-loop neural regulation systems and emotional interaction cognitive therapy systems, with plans for product industrialization [1] Project Development - The company leads a national key research and development program on "multi-modal emotional interactive diagnostic equipment," currently in the mid-term stage [1] - The company is spearheading a collaborative project in the Yangtze River Delta for "key technology research on rehabilitation robotics based on movement intention perception," currently in the early stage [1] - The company is leading a Jiangsu provincial key research and development program on "key technology research for multi-modal intelligent hand rehabilitation robots based on central-peripheral closed-loop regulation," currently in the clinical validation stage [1] - A subsidiary is leading a Jiangsu provincial frontier technology research program on "closed-loop neural regulation equipment and key technology research based on multi-modal brain physiological monitoring," which has completed project announcement [1]