AI überholt die biomedizinische Forschung: MedPeer löst mit KI Engpässe in der gesamten Prozesskette

Currently, the integration process between AI technology and the biomedical research and industry sectors is continuously accelerating. The industry is constantly developing towards digitalization, integration, and compatibility. However, the long - standing weaknesses in the research line are hampering the efficiency of the industry's development. From an industry perspective, biomedical research can be divided into two groups: private researchers and professional research institutes. Both groups are facing inevitable development problems, which creates a huge market demand for digital research services.

l The weaknesses in biomedical research are prominent, and there is an urgent need for digital upgrading

For private researchers such as doctors, doctoral students, and university faculty, as well as front - line researchers, the problems are that the process of literature research and organization is cumbersome, writing articles and professional drawing are time - and energy - consuming, the application conditions for research funds are high, and research instruments are scattered and often need to be changed. A lot of time is wasted on non - innovative trifles, which directly reduces the efficiency of the entire research and restricts the energy for core experiments and academic research.

For institutions such as medical faculties at universities, third - tier hospitals, research institutes, and biomedical companies in China, they are also facing difficulties. The research resources are scattered, the work processes do not have standardized norms, the quality control of research results is difficult, and it is hard to improve the efficiency of the entire research. The lack of effective separation of research knowledge and the low efficiency of team cooperation are the common weaknesses in the industry.

In view of the urgent needs in the industry, Beijing Maidi Peier Information Technology Co., Ltd. started to develop the One - Stop AI Biomedical Research System MedPeer in 2017 to reduce costs, improve the efficiency of biomedical research, and promote the innovative and high - quality development of the industry. According to public statistics from Chinese research management institutions, the number of biomedical researchers in China has exceeded 2 million, there are more than 3,000 professional research institutes, and the number of newly added biomedical research and development projects per year is over 100,000. The market for digital and digital capability enhancement in research continues to expand.

l Development of an AI research system that covers all scenarios for individuals and enterprises

Since the project started in 2017, Maidi Peier has continuously improved the product based on the actual needs of users and completed a complete layout from the self - development of core technology to the implementation of the product in all scenarios. During the development, the project team attached great importance to the data and compatibility architecture, and has successively obtained the national network security classification of the third level, the ISO9001, ISO20000, and ISO27001 triple international system certification, and completed the AI algorithm registration to build an enterprise data security system with complete compatibility qualifications and lay the foundation for serving large institutional customers.

As a new AI biomedical research system, MedPeer is characterized by connecting all research needs. Based on a huge and authoritative biomedical database and combined with self - developed AI applications, it can meet both the needs of individuals for easy use and the needs of institutions for large - scale research promotion.

For individual end - users, MedPeer has set up accesses for websites and apps and built a tool matrix for the entire process of topic selection, literature research, article writing, professional drawing, academic translation, and response to reviewer comments. There is no need to switch between multiple platforms to complete the entire research, which improves the efficiency of the research process. For institutional B - customers, the platform offers two service modes: SaaS cloud deployment and private deployment. It can customize an exclusive research resource bank, a digital team management system, and an internal knowledge separation platform for institutions, and can also adapt functions and brands to the individual needs of institutions to fill the gap in the market for digital capability enhancement in biomedical research.

l The product has been proven in practice, and AI research is continuously deepened

After years of market launch, MedPeer has accumulated over 1 million authenticated biomedical users and served over 5,000 professional research teams and over 200 national research institutes in - depth. It is already a widely used AI promotion platform in the biomedical research field in China.

Actual user feedback shows that MedPeer has actually solved the common difficult problems in research. After using the platform, ordinary researchers can reduce the time for literature organization and writing the first article draft, which originally took three or four days, to one day, effectively freeing up time for researchers' innovative research. Thanks to the exclusive institutional research platform, the research team of a third - tier hospital has achieved a systematic separation of internal research knowledge, the efficiency of integrating new members into the project has doubled, and the efficiency of the entire team's research has increased significantly.

The relevant person in charge of Maidi Peier said that the team believes in the long - term that the core value of AI in biomedical research is capability enhancement rather than substitution. Intelligent tools replace laborious research activities so that researchers can focus on core academic innovation. This is the core purpose of the long - term project. In the future, Maidi Peier will continue to explore the specific needs in biomedical research, improve the accuracy of AI tool algorithms, expand the multi - scenario service capability, and continue to support the digital transformation and implementation of research results in biomedical research in China.