Abstract: Systems and methods are disclosed for gaze tracking. A method includes receiving a video of a user taken by a front-facing camera of a device having a screen, receiving dimensions of the screen, parsing the video into a series of uniform-dimension video frame images, inputting the series of uniform-dimension video frame images to a pretrained artificial neural network, thereby extracting a plurality of features from the series of uniform-dimension video frame images to determine a set of internal spatial hierarchy features on each of the uniform-dimension video frame images, inputting each set of hierarchy features to a fully connected layer, the fully connected layer producing an intermediate physical estimate of the user's gaze location on the screen relative to the device camera in centimeters, determining a series of screen locations based on the intermediate physical estimate and the dimensions of the screen, and labeling the gaze location on the screen.

Abstract: Systems, methods, and computer program products are provided for determining one or more biomarker and/or health condition of a target patient. In various embodiments, a method is provided where a plurality of health data of the target patient and/or a plurality of first order features determined from the plurality of health data of the target patient are received as input to a pre-trained artificial neural network. The plurality of health data is derived from a plurality of modalities. A plurality of latent variables based on the plurality of health data and plurality of first order features are received from an intermediate layer of the pre-trained artificial neural network. The plurality of latent variables are provided to a pre-trained learning system. The pre-trained learning system is trained to receive as input the plurality of latent variables and output one or more biomarker and/or health condition of the target patient.

Abstract: Computational approaches to assess CNS functionality using a digital tablet and stylus are provided.

Abstract: A composition for colouring cheese curd comprising a combination of an oil phase comprising an effective amount of paprika, an effective amount of a carotenoid, and a fat, and an aqueous phase comprising a caseinate. The composition selectively colours the cheese curd while leaving the whey fraction uncoloured.

Abstract: A composition for colouring cheese curd comprising a combination of an oil phase comprising an effective amount of paprika, an effective amount of a carotenoid, and a fat, and an aqueous phase comprising a caseinate. The composition selectively colours the cheese curd while leaving the whey fraction uncoloured.

Abstract: A composition for colouring cheese curd comprising a combination of an oil phase comprising an effective amount of paprika, an effective amount of a carotenoid, and a fat, and an aqueous phase comprising a caesinate. The composition selectively colours the cheese curd while leaving the whey fraction uncoloured.