Goushen Hall Distinguished Lecture Series
Five Course Formats
Guided by the spirit of "enter the principle, seek the depth", centered on two core capabilities — the Genmount World-Model OS and Eastern-medicine AI — offering formats from awareness-building and understanding to co-creation and rollout.
Whether you are learning for the first time, evaluating quickly, or driving pilots and scaling, each format offers a clear path and actionable outcomes. The five formats each have a focus; take them alone or combine into a full learning track.
Workshop
Co-create a rollout plan
High-interaction small-group co-creation that maps Genmount capabilities to your scenario and produces executable output on the spot: roadmap, SOP, metric system, selection conclusions or a pilot plan.
For
Teams with a clear business problem and rollout intent
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Marketing Talk
See the value, take the next step
Using "value proposition + evidence chain" to explain what Genmount solves and what results it brings, with a clear next-step entry (sign up, trial, demo, project talk).
For
External briefings and market education
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Mass Lecture
Unified understanding at scale
A standardized structure explaining core concepts, key capabilities and typical applications so most people understand and remember — for large briefings and org-wide alignment.
For
Large, mixed-background audiences
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Forum
Endorsement & connection
Keynotes, panels and Q&A that gather government, industry, academia, research and clinical perspectives to discuss trends, standards and practice — building consensus and partnerships.
For
Industry summits, academia-industry collaboration
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Thematic Course
Teach one capability deeply
A systematic deep-dive on one core theme/module, with methodology, toolkits and exercises that help learners transfer the capability into their own work as reusable methods.
For
Algorithm/product/clinical-research leads, grad students, tech teams
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Honest note
Courses are for knowledge sharing, methodology training and pilot co-creation. Capabilities are presented as "value proposition + evidence chain" and do not constitute medical diagnosis, treatment or efficacy claims. Related standardization and scientific verification remain in research and pilot stages.