Stanford HAI Adds AI4S to Its Annual Report; Argonne National Laboratory Establishes Collaboration With Japan's Largest Comprehensive Research Institute; Catalyst Plus Receives Unknown Investment From Deepin
AI for Science Company News Overview——
- Cota Healthcare and Sanofi enter into a collaboration
- Tencent takes the lead in building a national new generation artificial intelligence open innovation platform for medical imaging
- Catalyst Plus receives unknown amount of investment from Deepin Technology
- TetraScience and Google Cloud Collaborate to Advance Scientific AI Innovation
- Argonne National Laboratory and RIKEN Sign Memorandum of Understanding
- AI4S-related content added to the 2024 Artificial Intelligence Index Report
- Meinian Health: China's first AI robot for health management is put into trial operation
Cota Healthcare and Sanofi enter into a collaboration
On April 17, Cota Healthcare, a company in the field of oncology analysis, announced a partnership with Sanofi. The two parties will use real-world data (RWD) based on AI to improve the efficiency of oncology drug development. Cota Healthcare was founded in 2011. The team consists of doctors, engineers and big data scientists. It is committed to providing the best treatment options for cancer patients with clinical data and cost analysis based on oncology data analysis. Sanofi was founded in 1973 and is an innovative global pharmaceutical and health company that mainly engages in drug research and development, production and sales.
Tencent takes the lead in building a national new generation artificial intelligence open innovation platform for medical imaging
Recently, the "National New Generation Artificial Intelligence Open Innovation Platform for Medical Imaging" was successfully completed. The construction of the platform was led by Tencent, and 10 units including the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, Guangzhou Huyunyi, the First Affiliated Hospital of Zhengzhou University, the Nanfang Hospital of Southern Medical University, and the Shanghai Panoramic Medical Imaging Diagnostic Center worked together. The construction of the common technology platform, the construction of the open source medical database, the algorithm resource library, and the construction of the industry standard system have been completed, realizing the full process of medical imaging AI from research and development to implementation.
Catalyst Plus receives unknown amount of investment from Deepin Technology
Recently, CatalystPlus announced that it has received strategic investment from Deepin, and the specific investment amount has not been disclosed. This investment will enable the two parties to carry out comprehensive cooperation in the field of AI for Science, involving scientific large models, computing power, knowledge bases, databases, user development and other aspects. Deepin was founded in 2019, and its main business direction is to create a simulation research and development platform that effectively serves pharmaceutical companies, material suppliers and scientific research institutions. CatalystPlus was founded in 2022 and is an enterprise solution provider that integrates billions of academic basic data, covering a variety of data types such as papers, scholars, conferences, charts, patents, funds, etc., and is committed to helping scientists process multi-dimensional information more efficiently and solve information overload problems.
TetraScience and Google Cloud Collaborate to Advance Scientific AI Innovation
Recently, TetraScience announced a partnership with Google Cloud. The two parties will combine Tetra's scientific data and AI Cloud with Google Cloud's infrastructure and AI technology to jointly enhance the application of scientific AI in the life science industry and accelerate drug development and other scientific discoveries. It is reported that TetraScience is a scientific data and AI Cloud computing company that is committed to designing and industrializing AI-native scientific data sets and applying them to the next generation of laboratory data management solutions, scientific use cases, and AI-based scientific results to promote the development of scientific artificial intelligence.
Argonne National Laboratory and RIKEN Sign Memorandum of Understanding
Recently, the Argonne National Laboratory (Argonne) of the United States and the RIKEN Institute of Physical and Chemical Research (RIKEN) of Japan announced the signing of a memorandum of understanding to formally establish a cooperative relationship. It is reported that the two parties have agreed to share researchers, data sets and technical resources, and will jointly train large language models based on scientific data in the future to support subsequent AI for science research. Founded in 1917, RIKEN is the largest comprehensive research institution in Japan and has conducted high-quality research in multidisciplinary fields. Argonne National Laboratory is the first national laboratory in the United States. It brings together employees from more than 60 countries, works closely with researchers from hundreds of companies, universities and federal agencies, and has conducted cutting-edge scientific research in almost all scientific fields.
AI4S-related content added to the 2024 Artificial Intelligence Index Report
Recently, the Human-Center Artificial Intelligence (HAI) Research Center at Stanford University released the "2024 Artificial Intelligence Index Report". This report of more than 300 pages has added a chapter on the application of AI in science and medicine. The report pointed out that since 2022, AI for Science has been accelerating. In 2023, many AI applications related to other sciences were born, such as AlphaDev to improve the efficiency of algorithm sorting, GNoME to promote the material discovery process, GraphCast for weather forecasting, and SynthSR and ImmunoSEIRA for AI-driven medical innovation.
Follow the official account and reply "HAI2024" to download the full report
Meinian Health: China's first AI robot for health management is put into trial operation
On April 15, China's first AI robot for health management, "Healthy Xiaomei", a digital health manager, started trial operation. The product is expected to be officially released at the end of June. It is reported that "Healthy Xiaomei" is an AI robot jointly developed by Meinian Health, Huawei Cloud, and Runda Medical. Users only need to upload personal living habits, exercise conditions and other information to generate a health management plan suitable for them with one click. In addition, users can also obtain exclusive physical examinations and preventive measures based on their personal health data, family medical history, etc.