Megagene and BioMap Announce Strategic Collaboration at the 3rd China Biocomputing Conference to Advance AI-Driven Life Science Innovation

Recently, the 2024 Third China Bioinformatics Conference, jointly hosted by BioMap and Bohe Innovation and co-organized by SISPARK (Suzhou International Science Park), was successfully held at the Suzhou International Expo Center.

The conference, with the core theme of "AI-Decoding Life, Creating Value," focuses on the empowerment of innovative platforms such as large AI models in life sciences for drug discovery, healthcare, and biomanufacturing, showcasing new trends, technologies, and scenarios in the field of biological computing, attracting over 1,000 attendees.

Zhang Yan, Co-founder and Chief Operating Officer of Suzhou Maga Technology Co., Ltd., Attended the Roundtable Discussion Session of the Main Forum, Gu Xiaofeng, Deputy Director of the Major Tasks Bureau of the Chinese Academy of Agricultural Sciences, Liu Peng, Ph.D., Researcher, Leading Scientist, and Doctoral Supervisor at the Changping National Laboratory of Tsinghua University's Biomedical Engineering College, He Kaijie, Vice President of Innovent Biologics, Pan Xiaogang, Assistant Vice President of AstraZeneca's Strategic Collaboration and Business Development Department, Huang Qingchun, Senior Director of Healthcare and Life Sciences Industry Solutions for Greater China at Amazon Web Services, and Yan Jiya, General Manager of Solutions at BioMap and moderator of the forum, jointly discussed the value creation and scenario implementation of bio-computation.

(Zhang Yan, Co-founder and COO of Suzhou Maga Technology Co., Ltd., attended the main forum roundtable discussion)

Zhang Yan stated，AI for Science has become a significant trend in today's technological development, especially playing an increasingly central role in advancing life sciences. In this process, the research and development paradigm of life sciences is undergoing profound changes, gradually shifting from traditional empirical reasoning to precise prediction based on big data. This transformation means introducing advanced computing power, efficient algorithms, and massive amounts of data into the field of life sciences.

Suzhou Maga Technology Co., Ltd., as an advanced productivity tool provider, focuses more onGeneration and Governance of High-Quality DataThe company rapidly generates large-scale data by integrating a series of efficient and precise intelligent automated experimental equipment and software systems. Through advanced data processing technologies and algorithms, it achieves the cleaning, labeling, analysis, and mining of massive data, providing a solid data foundation for subsequent AI model training. The usability, accuracy, and reliability of the governed data are significantly improved, fully unlocking the potential of the data and markedly enhancing the value of big data assets. This is precisely the core competitiveness of Maga in the life sciences field. In September this year, Maga Kunpeng Lab 3.0 was officially launched, marking the practical implementation of AI for Science. Maga aims to build a true life science data factory, collaboratively exploring new paradigms of data-driven life science research, and accelerating breakthroughs in key areas such as drug discovery, organoids, and synthetic biology.

(Viewpoint expressed by Zhang Yan, Co-founder and COO of Suzhou Maga Technology Co., Ltd.)

As one of the highlights of this forum, BioMap held a strategic signing ceremony with numerous industry partners.BioMap will collaborate with Suzhou Maga Technology Co., Ltd. on a system-level partnership that integrates automated platforms, high-quality data system generation, and AI platform models.

(BioMap Strategic Signing Ceremony)

In the future, Suzhou Maga Technology Co., Ltd. will continue to collaborate with excellent industry partners such as BioMap, jointly promoting the in-depth application and development of "AI for Science" in the field of life sciences. Through continuous exploration and practice, they will contribute more technological wisdom and strength to the cause of human health.