In today’s world, as industrial chains undergo creative disruption and significant restructuring, a new wave of digitalization is unfolding. Digitalization has become the primary driver of economic growth and a watershed moment in the new round of global industrial competition. In recent years, driven by advancements in technologies such as artificial intelligence, 5G, big data, and cloud computing, as well as the outbreak of the pandemic, the smart diagnostics industry has been further propelled forward, making digital intelligent technologies increasingly familiar to the public within the healthcare sector.
Furthermore, the uneven distribution of medical resources, the low level of digitization in pathological diagnosis data, and the scarcity of relevant medical professionals are also significant factors driving the rapid advancement of the medical diagnostics industry into the era of intelligence. Against the backdrop of digital transformation, the intelligent diagnostics industry is actively aligning with contemporary trends. VCBeat believes that intelligent diagnostics will become an inevitable trend and is poised to emerge as the mainstream approach in the field of medical diagnostics.
As the main stronghold of Shanghai’s sci-tech innovation strategy, Baoshan District aims to establish smart diagnostics as its distinctive hallmark. To further promote the robust development of the smart diagnostics industry and maximize the utilization of industry-academia-research resources in the diagnostic field against the backdrop of digital transformation, byTopShanghai Baoshan District Science and Technology Commission, Shanghai Baoshan High-Tech Industrial Park Administrative CommitteeUnder the guidance of the Baoshan Smart Diagnostic Medicine R&D and Translation Functional Platform, the “2021 Smart Diagnostic Technology Translation and Industrial Innovation Forum,” co-hosted by VCBeat VB100, will be held in Baoshan District on January 9, 2022.

Themed “Embracing the New Digital Economy, Pioneering a New Future in Healthcare,” this forum will bring together more than 10 academicians, government officials, and industry experts, over 30 leaders from innovative enterprises, and 200+ industry professionals. Discussions will center on smart diagnostics, AI-assisted diagnosis, tumor immunotherapy and diagnostics, new drug R&D, and in vitro diagnostics (IVD) in the context of digital transformation, creating a platform for exchange and collaboration among government, industry, healthcare providers, academia, and research institutions in the smart diagnostics sector.
Meanwhile, byUpperShanghai Baoshan District Science and Technology Commission, Administrative Committee of Shanghai Baoshan High-Tech Industrial ParkGuided by the Baoshan Smart Diagnostic Medicine R&D and Translation Functional Platform, VB100, and VCBeatChina Smart Diagnostic Medicine List, an awards ceremony for the rankings will be held at the conference venue. Currently, submissions are being accepted for the China Smart Diagnostic Medicine Rankings, which evaluate three key value sectors: high-end medical imaging equipment, digital intelligent computer-aided diagnosis, and innovative in vitro diagnostics—specifically high-throughput sequencing. To date, entries have been received from United Imaging Healthcare, Genetron Health,Dr. Shen Zhiapplication materials from multiple companies, including Liaoyao and Yuce Biotech.
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Forward-Looking Perspective: Policy Drivers and Technological Advancements Propel the Comprehensive Digitalization of the Smart Diagnostics Industry
“Accelerating Digital Development and Building a Digital China,” as one of the key objectives during the 14th Five-Year Plan period, calls for the deep integration of digital technologies—such as the internet, big data, and artificial intelligence—with the real economy. With increasing policy support for “new infrastructure” and the growing maturity of healthcare digitalization, intelligent diagnosis is ushering in its golden age amidst the digital wave. What new opportunities and challenges will emerge in the transition from traditional to intelligent diagnosis? How will policy drivers shape the technological development of the intelligent diagnosis industry? These topics will be shared by leaders from national ministries and commissions.
Digital Pioneer: Advancing Full-Process Digitalization in Smart Diagnostics, Driven by Clinical Needs
As the pandemic accelerates, digital intelligent diagnostics are once again in the spotlight. Starting from clinical needs and leveraging digitalization to facilitate the translation of scientific research achievements, this topic focuses on in-hospital scenarios: How can clinical value be maximized under digital drive? What challenges will the translation of innovative intelligent diagnostic technologies face? Clinical experts and industry leaders will share their insights and engage in thought-provoking discussions in this section.
Technology Empowerment: Innovation and Breakthroughs by Enterprises in Niche Sectors
AI-assisted diagnosis, tumor immunology, pathology, and new drug R&D are currently the most prominent sub-sectors within the intelligent diagnostics industry. In addressing diagnostic challenges, domestic innovative enterprises are showcasing their unique strengths, continuously empowered by technological advancements. What innovations have these companies introduced in their business models? What changes may emerge in the future? This topic will explore the pain points in each sub-sector, outline future prospects, and invite representatives from relevant companies to share their practical experiences.
Industrial Ecosystem: Leveraging Innovation as a Methodology to Foster a Robust Model through Industry-Academia-Research Collaboration
The development of the industry hinges on multi-party exchange and collaboration. By linking core resources across industry, academia, clinical practice, and investment within the intelligent diagnostics sector, we aim to jointly chart the future blueprint for intelligent diagnostics. This session will invite industry experts, investors, and corporate representatives to explore the value pathways of the intelligent diagnostics industry, the translation of research outcomes into practical applications, and optimal models for industry-academia-research collaboration.




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