"Natural Killer Cell Efficacy Prediction Method And Computing Device" in Patent Application Approval Process (USPTO 20240311638).

A patent application from Taiwan's Industrial Technology Research Institute outlines a method and computing device for predicting the effectiveness of natural killer (NK) cells in cancer treatment. The method involves training a neural network model using data on the characteristics and killing results of NK cells, which can then be used to predict the efficacy of a specific NK cell. This approach aims to enhance the efficiency and quality of NK cell production for cellular therapy. The patent application provides further information on the factors involved, target cancer cells, and how NK cell quality is determined based on predicted killing results. [Extracted from the article]