RESUMO
@#Artificial intelligence (AI) has developed rapidly in the twentieth century, and has substantialy changed the modern way of life.At the same time, AI has greatly contributed to the development of the pharmaceutical industry, playing a key role in precision medicine, intelligent diagnosis, computer-aided drug design, and clinical trial decision-making, and has also greatly developed itself through its integration with the pharmaceutical industry.This paper outlines the key issues in research, describes the key applications of AI in the health and pharmaceutical industries, and finally analyzes the opportunities and challenges of AI in the health pharmaceutical industry to provide reference for the development of AI in the health and pharmaceutical fields.
RESUMO
The intention to treat (ITT) principle is widely applied in the randomized controlled trials (RCTs), which is based on the intention to treat a subject (i.e. the planned treatment regimen) rather than the actual treatment given. With the development and progress of clinical trials, ITT principle needs to be reinterpreted. In the standard definition of ITT principle, the intentional grouping of subjects does not specifically refer to randomization, but rather to planned treatment regimen. In non-randomized clinical trials, that subjects agree to be included in a certain treatment regimen is also a type of intention. ITT principles can be applied to evaluate the effectiveness of treatment regimens under patient/doctor determined intentionality in single-arm clinical trials and non-randomized RWS (real world study, RWS). In the practical application, the grouping strategy based on ITT principle should be considered comprehensively according to the research purpose.