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Xie Weidong, CEOAccording to our corporate development strategy, we will pay more attentions to the big data, drug pipelines and global collaboration in 2021.
Major technology breakthrough---“Big Data”
As we have seen, data is what drive successful observations in the application of AI in drug discovery. The generation of data can sometimes be both difficult, expensive and time-consuming. Not only do we have to use expensive materials to chemical synthesis, but we also have the cost and time of biological test.
Over the past three years, DM Intelligence has taken advantage of technique used in state of art machine learning model to increase throughput and reduce associated expenses in making and assaying compounds. And some important additional improvements will be made in these aspects and drive optimization of these challenges in this area next year.
Pursuing further development
As a biopharmaceutical company, DM Intelligence dedicate to the R&D and commercialization of novel drug candidates. Our medicines in development are classified into three categories: neoplastic, neurological and infective. Next year, our pipeline development priorities are focused on targets in the following indications: Parkinson's disease (PD), Prostate cancer and healthcare–associated infection (HAI). The content of our drug pipeline will change over time as new projects progress from basic research to clinical development.
Creating strong collaboration.
Drug R&D is an extremely complex and expensive process. Academic and independent research institutions, biopharma, biotech and government play critical and complementary roles in this process. With remarkable development of life sciences research, the role played by drug discovery tools and technology have become increasingly. As an integrated solution provider for pharmaceutical sector, DM Intelligence focuses on drug discovery. Besides continually maintaining and improving robust partnerships with domestic pharma companies, we will set up global collaboration projects this year.
Company
DM intelligence
Management
Xie Weidong, CEO
Description
Over the past three years, DM Intelligence has taken advantage of technique used in state of art machine learning model to increase throughput and reduce associated expenses in making and assaying compounds. And some important additional improvements will be made in these aspects and drive optimization of these challenges in this area next year.