Top issue of Nature’s first AI theme conference, Yidu Technology shares big model empowers smart scientific research iterative development

Nature ("Nature" magazine) and Nature Medicine ("Nature-Medicine" magazine) held the world’s top academic conference on the theme of "artificial intelligence and medical health integration" for the first time in Wenzhou.

Yidu Cloud, a subsidiary of Yidu Technology, was invited to attend, and Dr. Li Linfeng, Vice President of Technology Innovation and AI Architect of Yidu Cloud, shared "Artificial intelligence research platform helps to carry out real-world research efficiently"Theme report to show the world that the Yidu model can effectively empower scientific research capabilities.

The conference was organized by Nature, Nature Medicine, Eye Optometry Hospital Affiliated to Wenzhou Medical University, China Eye Valley, Wenzhou Medical UniversityEye healthJointly organized with institutions such as the Institute for Advanced Study of Diseases.

Journal of Nature MedicineLorenzo　RighettoPhDAcademician of the Chinese Academy of Engineering, General Hospital of the People’s Liberation ArmyChenXiangmeiAcademician, Chinese Academy of Sciences, Future TechAcademy, Peking UniversityCheng HepingAcademician, Chinese Academy of Sciences, President of Sichuan Provincial People’s HospitalYang ZhenglinDeputy Secretary and Mayor of Wenzhou Municipal Party CommitteeZhang Wenjie, Deputy Director of Zhejiang Provincial Health CommissionYu Xinle, Wenzhou Municipal Committee Standing Committee, Organization MinisterLu Bo ArmyParty Secretary, Wenzhou Medical UniversityLu Yijun, Westlake UniversityProfessor Fu XiangdongAffiliated Eye and Optometry Hospital of Wenzhou Medical UniversityProfessor Zhang KangVice President, Wenzhou Medical UniversityJin ShengweiSecretary General, Wenzhou Municipal GovernmentChen HongmingPresident of Wenzhou Medical University Optometry Hospital Group and Chairperson of China Eye ValleyQu JiaDirector, Department of Optometry, Wenzhou Medical UniversityLv FanAs well as top scholars and industry elites in the field of medical artificial intelligence from all over the world, Wenzhou municipal relevant departments and district and county leaders attended the meeting on the spot. Vice President of Wenzhou Medical UniversityWu WencanChair the meeting.

Dr. Lorenzo Righetto, Journal of Nature Medicine

Lv Yijun, Secretary of the Party Committee of Wenzhou Medical University, delivered a speech

Lv Fan, Director of Department of Optometry, Wenzhou Medical University, delivered a speech

Vice President of Wenzhou Medical University Wu Wencan chaired the meeting

Directly hit the pain points: technology empowers scientific research deep exploration and value mining

The traditional scientific research model has been unable to meet the needs of the depth and breadth of modern medical research. Difficult problems such as diverse and heterogeneous data sources, huge data volume, and difficulties in checking and cross-system integration are highlighted. Especially in hospitals, different specialty databases are not interconnected, and the management of scientific research data assets is scattered, which greatly hinders the effective use and security of data.

Therefore, Yidu Cloud launched a technology based on big data and artificial intelligenceA new generation of scientific research data platform.Using big data and artificial intelligence technologies such as natural language processing and Knowledge Graph,Optimize the entire process from data collection to final research output.

The platform provides a safe and efficient data analytics environment for researchers, which can crack the data collection, governance, utilization and management problems for clinical research, greatly improve the consistency and availability of data, and continue to precipitate hospital data assets.

Big models empower research: accelerating knowledge discovery and decision support

"The introduction of the big model of Yidu is a highlight of the new generation of scientific research data platform". Li Linfeng introduced the specific scenarios of the big model empowering medical research in his speech, including: research progress compilation and scheme design, natural language medical record search, field intelligent extraction and processing, intelligent statistical analysis and paper assistance writing, etc., to help medical research improve the whole process from data collection, processing to analysis.

He said that through the artificial intelligence research platform, researchers can quickly determine the research direction, efficiently obtain, process and analyze data, which greatly improves the efficiency and innovation potential of scientific research. The traditional scientific research output paper cycle is usually 6-12 months.After the construction of the scientific research data platform is completed, it takes only 2 months from research design to paper output…

This shift means that researchers are no longer limited to preliminary screening of data, but can use AI models to quickly locate key information for more accurate research design.

In addition,The application of AI technology is also reflected in the formulation of research programs. Through simulation and optimization, the platform can assist in generating more scientific and reasonable research strategies, thus enhancing the innovation and practicality of research without changing the traditional research logic.

Li Linfeng mentioned that in practice, the platform has successfully helped doctors obtain useful supplementary suggestions when setting research plans, which marks an important step for artificial intelligence in assisting medical decision-making and scientific research innovation.

Build a multi-center research platform to promote the ecological upgrade of medical research

Faced with multi-center research painpoint, Yidu Cloud’s self-developed multi-center clinical research data platform effectively solves the problems of multi-center data trustworthy sharing, efficient analysis and data security in different scenarios through centralized and distributed models, unified data collection and governance standards, and core technologies in Data Transmission Service, data governance and data utilization.

Scientific research big data platforms can not onlyefficient supportInvestigator-initiated studies (IITIt can also meet the urgent needs of enterprises to conduct research based on real-world data.

By establishing a real-world research collaboration network based on a scientific research big data platform, it connects industry demanders and data owners such as pharmaceutical companies, device R & D, and insurance companies, and helps enterprises identify suitable research centers and researchers, evaluate the feasibility of research projects, and greatly improve the efficiency and success rate of real-world research and clinical trials by accurately arranging patients and collecting data quickly.

Deepening understanding of practical cases: Platform construction of ophthalmology national clinical medical research center

Taking the cooperation of the National Clinical Medical Research Center of Ophthalmology as an example, Yidu Cloud has provided strong data support for IIT research, pharmaceutical company research and major scientific research project application by building an ophthalmology specialty database and a national clinical research data platform. Help customers gather ophthalmic disease medical record data covering cataract, glaucoma, fundus disease and other sub-fields, and help medical research to be carried out efficiently.

In addition to empowering doctors to conduct clinical research, the platform can also accelerate the recruitment of clinical trial patients, support enterprises to conduct data-driven innovative pharmaceutical device research and development, and innovative insurance design, demonstrating the great potential of Yidu Cloud artificial intelligence research platform to promote clinical research and industry empowerment.

As a leader in smart medical research, Yidu Cloud creates a series of scientific research data platform products through intelligent data collection and processing, full-process scientific research tools and innovative artificial intelligence technology applications.

So far, it has cooperated with 16 institutions including the National Clinical Research Center of Ophthalmology to build a multi-center scientific research platform, cooperated with 90 + hospitals to build a hospital-wide scientific research platform, and cooperated with 200 + PI teams to build a scientific research bank project. Yidu Technology hopes that big data and artificial intelligence technology can continue to empower the efficient development of clinical research and promote the improvement of disease research and diagnosis and treatment.