Using instrumental methods and Artificial Intelligence approache

In the seminar, I describe how theoretical and data analysis ideas interact with newly developed computational and experimental methodologies to answer these questions across different contexts, length scales, and time scales. A link was made between the instrumental methods of laboratory practice and the methods of working with data in preclinical studies. Which includes everything from experiments to study the causes of disease to animal testing of potential treatments and everything in between. Differences and similarities between approaches and areas where further advances are needed were presented to put behavior on the same quantitative footing as in other areas of science where AI approaches have been successfully applied.