Drug clinical research stage includes trial scheme design, trial process management, statistical analysis of trial data management, etc. if only relying on manpower, it is not only heavy workload, but also easy to make mistakes. Artificial intelligence has the ability of machine learning and cognitive computing, which can be widely used in various links such as experimental research design, experimental process management, and experimental data statistical analysis. MedAI can help our clients to improve the efficiency of clinical trial in the whole process, so as to accelerate the process of drug research and development.
MedAI uses complex data analysis methods and machine learning technology to analyze these data comprehensively, and to maximize their potential to improve the possibility of clinical trial success and reduce the cost of drug research and development process.
Big data collection, guide clinical trials intelligently and put forward new hypothesis that can be verified.
AI can extract knowledge that can promote drug research and development from a large amount of information of papers and clinical trial results.
Structured and unstructured biomedical and healthcare data streams of clinical trial participants can be transformed into computer models that represent individual patients.
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