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Abstract:
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Recent advance in technology has transformed various aspects of risk assessment. In chemical risk assessment and drug development, high throughput technology has made it possible to take a snapshot of the biological state of the cell using thousands of end points under various chemical and biological perturbations. There are significant efforts to generate comprehensive data sources for large collections of chemicals and drug candidates. The widespread use of mobile technology has also opened new opportunities to collect continuous data streams for human behavior, environmental exposures, and health status. These developments have generated great excitement in using machine learning or artificial intelligence to revolutionize risk assessment and drug development. However, proper and efficient application of these new analytical algorithms has proved to be challenging, especially in the aspects of interpretability, reproducibility, and practicality. Developing sound and novel statistical methods is essential to move this field forward. You are welcome to join fellow statisticians interested in risk assessment to discuss the future path of this exciting field.
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