Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: training of a machine learning model for predicting a rating in certain content rating systems based on training data. The machine learning model includes a plurality of maturity classifiers corresponding to individual features of the previously rated contents. An input content is obtained and features of the input content are extracted by use of respective content analysis tools and subsequently classified by the maturity classifiers of the machine learning model.

Abstract: This application relates to apparatus and methods for training machine learning models using supervised, or semi-supervised, learning. In some examples, a computing device obtains training data that includes labelled, and unlabeled, data for training a machine learning model. The computing device applies the machine learning model to the training data to generate output data. The machine learning model executes with a plurality of coefficients applied to a plurality of hyperparameters. The computing device further applies a loss model to the training data and the output data to generate a loss value. Based on the loss values, the computing device determines updated values for the plurality of coefficients of the machine learning model. The computing device may continue to determine updated values for the plurality of coefficients until one or more conditions are satisfied. The computing device may then store the final coefficient values in a data repository.

Abstract: The disclosure provided herein provides systems, devices, and methods for analyzing cultured cells. Also disclosed herein are systems, devices, and methods for analyzing interactions between two different groups of cells. Also disclosed herein are systems and methods of producing and analyzing a three-dimensional cell culture.

Abstract: Electrophysiological recording systems for analysis of cultured cells include an recording device and a housing for supporting the electrophysiological recording device. The device has a porous membrane with top and bottom surfaces and a plurality of pores extending between the top and bottom surfaces. The porous membrane defines a first cell culture region disposed on the top surface and an opposed second cell culture region disposed on the bottom surface. The electrophysiological recording device has a plurality of electrodes positioned on the porous membrane in between a first insulation layer and a second insulation layer. The plurality of electrodes extend to the first cell culture region of the porous membrane. Recording ends of the electrodes measure electrical properties of cells cultured within the first and second cell culture regions, while the contact ends of the electrodes are positioned in electrical communication with data acquisition equipment.

Abstract: Electrophysiological recording systems for analysis of cultured cells include an recording device and a housing for supporting the electrophysiological recording device. The device has a porous membrane with top and bottom surfaces and a plurality of pores extending between the top and bottom surfaces. The porous membrane defines a first cell culture region disposed on the top surface and an opposed second cell culture region disposed on the bottom surface. The electrophysiological recording device has a plurality of electrodes positioned on the porous membrane in between a first insulation layer and a second insulation layer. The plurality of electrodes extend to the first cell culture region of the porous membrane. Recording ends of the electrodes measure electrical properties of cells cultured within the first and second cell culture regions, while the contact ends of the electrodes are positioned in electrical communication with data acquisition equipment.