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Design and Optimization of Clinical Trials
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
Eliminate the barriers of isolating clinical medical data in various medical institutions.
Make patients more easily participate in clinical trials and eliminate unnecessary burden of clinical
Enable researchers to reduce the rate of clinical trial lost visits through personalized communication.
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
Artificial Intelligence in Design and Optimization of
Use AI technology to analyze a large number of clinical data,