The latest news, the 2022 World Artificial Intelligence Conference (WAIC 2022) kicked off on the morning of September 1 at the Shanghai World Expo Center. This smart conference will focus on the five elements of “humanity, technology, industry, city, and future”, and take “meta universe” as the breakthrough point to deeply interpret the theme of “intelligent connected world, original life without boundaries”. With the penetration of AI technology into all walks of life, digital applications in the medical and pharmaceutical fields are becoming more and more in-depth and diverse, helping disease prevention, risk assessment, surgery, drug treatment, and drug manufacturing and production.

Among them, in the medical field, what attracts attention is the “Intelligent Recognition Algorithm and System of Childhood Leukemia Cell Morphology”. It uses artificial intelligence image recognition technology to assist in the diagnosis of leukemia; the endoscopic surgical robot developed by Minimally Invasive Medical can be applied to various difficult urological surgeries; the artificial intelligence application innovation platform, supported by 5G, cloud computing, and big data technology, tries Medical imaging AI research and development is integrated into the scene and scale; GE has built a medical imaging development and application platform based on four core modules.

For pharmaceutical industry, Shanghai IVEN Pharmaceutical Engineering Co., Ltd. has also comprehensively upgraded pharmaceutical machinery from manufacturing to “intelligent manufacturing”. With the power of “intelligence”, IVEN uses “simplification” equipment and personalized solutions to achieve excellent management for pharmaceutical companies. With the increasingly strict requirements of GMP and other regulations, traditional means can no longer guarantee the compliance of regulations. IVEN’s implementation of intelligent manufacturing, on the one hand, will help ensure the data integrity of the enterprise, improve process control capabilities and production efficiency, and improve the intelligence of the production process, thereby ensuring GMP compliance, ensuring product quality and safety, reducing enterprise operating costs, and ensuring the survival and development of enterprises. On the other hand, IVEN helps pharmaceutical companies “improve quality, increase varieties, and create brands” through the layout of intelligent manufacturing.

This shows that the development of artificial intelligence has entered a new stage. By designing advanced algorithms, integrating as much data as possible, pooling a large amount of computing power, and intensively training large models to serve more enterprises.
In the future, Evan believes that the key words for the development of the pharmaceutical industry will be “integration”, “extension” and “innovation”. Therefore, the core task now is to find a scene suitable for AI to play the greatest value, so that it can better serve human health, capture innovation highlights for the pharmaceutical industry, condense development and deep thinking, and improve governance capabilities.