Challenges facing the life science industry in the AI era
R&D
The life science industry R&D literature comes from many sources, and there are overlapping contents and differences in importance among the literature. Enterprises need to integrate and process literature information from different sources, build a knowledge graph in the medical field, and realize modeling and analysis of complex relationships between literature. This is a complex process that requires continuous optimization.
Content Management
Content management in the life science industry involves a large amount of professional data and information. Its content not only involves text data, but also includes multimodal data such as images and videos. Life science companies need to effectively manage and utilize this data for rapid retrieval and use to support scientific research and clinical decision-making.
Quality Control and Compliance
Regulations and standards in the life sciences field are constantly updated and changed. To ensure compliance in the AI drug development process and adapt to these changes, it is necessary to pay close attention to the dynamic changes in regulations. The lag in information updates or the differences in manual reviews constitute important challenges in the quality control and compliance link.
Patient Service
A large amount of personal medical data is collected and used in smart healthcare. Life science companies are facing the challenge of how to protect medical data, release data value, and meet patients' increasing demand for refined and personalized services.
SERVICEME standardizes and structures medical knowledge to boost decision-making efficiency and precision, reducing costs and improving outcomes across healthcare.
Drug Development
Leveraging AI learning and natural language processing technologies, we assist researchers in analyzing literature, patents, and other scientific research materials, thereby accelerating the discovery and development process of new drugs.
Quality Control and Compliance
With the continuous expansion of product lines and the rapid iteration of technology, all kinds of drugs from raw materials to finished products must ensure strict compliance with regulatory requirements and the highest quality standards.
Patient Services Management
Patient service and management helps medical institutions conduct precision medicine and disease management by analyzing patients' electronic health records. It also provides services such as smart consultation, health consultation, and medication reminders to improve patient experience.
Adverse Event Identification
Analyze medical records, clinical trial reports, patient feedback, and social media data, as well as train labeled adverse event reports to identify potential safety signals, identify adverse events that may be associated with drug use, and help detect and describe adverse events.
Customer Case
Leading domestic
biopharmaceutical company
Researchers in the R&D department of a leading domestic biopharmaceutical company are faced with massive amounts of medical literature data, including key information such as drug development progress, clinical trial results, and drug action mechanisms. Manual screening, reading, and summarizing is extremely time-consuming and may result in important discoveries being missed.
Use SERVICEME to build an AI think tank for R&D intelligence, intelligently analyze R&D literature and document reports, and accurately mine key information. Use AI to achieve personalized knowledge base matching and significantly accelerate the drug R&D cycle.
AI Private Domain Intelligence Repository
AI R&D Report Generation
AI Literature Screening and Recognition
AI Personalized Recommendations
Ready to try SERVICEME for a spin?