Determining the uniformity and consistency of droplet size in the dispersed phase is key to
emulsion stability. Conventional methods, which include manual microscopic evaluation and
laser diffraction, have presented many challenges to achieve an accurate evaluation of
droplet dispersion in pharmaceutical emulsions. Artificial intelligence techniques have
demonstrated potential in overcoming the subjectivity and time-consumption associated with
the manual approaches in industry. A new automated machine learning approach is …