Cell Product Production and Preparation

Stem cell and immune cell technologies are at the forefront of life sciences, and have good application prospects in the treatment of major intractable diseases such as malignant tumors, cardiovascular and cerebrovascular diseases, neurological disorders, autoimmune diseases, digestive disorders, blood disorders, metabolic disorders, and degenerative diseases. Regenerative medicine centered on stem cells is another disease treatment pathway following drug therapy and surgery, which has significant economic and social benefits and has become a hotspot of global concern.

Standardization, scale-up, automation and traceability of cell preparation are the keys to whether the industry can develop and grow.

The ever-changing development of stem cell industry and scientific research have generated massive and diversified cell bio-information data, and with the help of advanced computer information technology and enterprise information resources, fully mining, analyzing and utilizing cell bio-information will become an effective mechanism for the development of stem cell industry. The construction and application of stem cell industry bio-health information database is a complex systematic project involving a wide range of research aspects, which requires the participation of multidisciplinary professionals and technicians in biology, medicine, informatics and computational science, as well as scientific and reasonable project development planning and stable financial support, otherwise, it will be difficult to complete such a complex and huge scientific research and application-oriented project successfully. The Center will make full use of advanced information technologies, such as big data processing and analysis, machine learning and artificial intelligence, to rationally carry out bioinformatics data collection, data processing and analysis, and to form a set of stem cell research application system and products with scientific guidance value in many aspects, such as disease prediction, medical application and health management.