The Jinji Lake Innovation and Entrepreneurship Competition is the earliest and most mature benchmark entrepreneurship platform. 

The competition is based in Suzhou, extending nationwide and linking 31 innovative cities around the world, attracting over 15,000 tech companies to participate, and has become one of the domestic competitions with the longest duration and the deepest resource link. 

The competition focuses on national strategies and industry frontiers, with a new high level of internationalization. 

This year's projects primarily cover key technology fields such as artificial intelligence, integrated circuits, photonics, medical health, new materials, new energy, and high-end equipment. 

The proportion of overseas projects has exceeded 55% and a special competition for overseas young entrepreneurial talents has been established for the first time, truly realizing the competition ecology of 'global innovation, grounded in China.' 

The final competition will be jointly judged by Zhu Xiaohu, the managing partner of Jinsha River Venture Capital, and Yang Dajun, the chairman and CEO of Ascentage Pharma. The judging panel includes representatives from both top investment institutions and leading industry enterprises, forming a dual perspective of 'capital + industry,' with a review team that combines 'capital depth' and ‘industry thickness.’

The effectiveness of outcome transformation and growth empowerment is significant. 

As of now, the cumulative total financing amount of all participating projects has exceeded 20 billion yuan, and a large number of listed companies and industry leaders in niche sectors have been cultivated, forming a positive closed loop of 'competition selection → capital docking → industry landing.' 

Winning in such a high-specification, highly competitive competition reflects the innovative hard power of the Onesense Medicine team.

This competing project addresses the pain points of traditional rehabilitation methods for hemiplegia, such as reliance on therapists, low efficiency, and difficulty in standardization, by utilizing high-precision electromyographic signal collection and AI analysis algorithms to achieve microvolt-level recognition of the remaining muscle activity of patients and translate it into personalized functional electrical stimulation strategies. 

The project integrates three major technical modules: bioelectrical sensing, machine learning, and adaptive stimulation , constructing an intelligent rehabilitation closed loop of 'assessment → stimulation → feedback → re-learning' to help patients rebuild neuromuscular control pathways.

On the stage of the Jinji Lake Entrepreneurship Competition, receiving high recognition from the industry, as well as affirmation from top investment institutions and industry judges in the highly regulated and long-cycle medical health sector, is a 'double endorsement' of our technological path and business logic. 

The venture capital network, industry ecosystem, and policy support system established by the competition will provide strong support for the project's follow-up research and development iterations, clinical applications, and market expansion. 

We firmly believe that the warmth of technology lies in empowering people to stand up and live again. This award motivates us to move faster and more steadily towards more patients in need of help.