Abstract: A method of predicting a progression of a condition comprises obtaining measurement data relating to at least one measurement on a subject up to a particular time point, wherein the data is generated based on an output of a sensor configured to perform the at least one measurement in respect of the subject. At least one parameter of a parameterized time-dependent function, wherein the parameterized time-dependent function is dependent on a continuous time value, is generated using a trained model and based on the measurement data, wherein the parameterized time-dependent function is indicative of a predicted progression of a condition of the subject over time after the particular time point. The parameterized time-dependent function is evaluated using the at least one parameter, for at least one time point after the particular time point.

Abstract: A method of training a neural network for reducing noise in an image comprises obtaining a plurality of input images from an imaging device. The method comprises generating a plurality of target images by combining a subset of the input images that each depict a same object, to reduce a noise of the target image. The method comprises generating a plurality of training pairs, wherein a training pair comprises one of the target images and a training image based on at least one but not all of the input images of the subset of input images corresponding to the one of the target image. The method comprises training a neural network using the plurality of training pairs.

Abstract: A method of training a neural network for reducing noise in an image comprises obtaining a plurality of input images from an imaging device. The method comprises generating a plurality of target images by combining a subset of the input images that each depict a same object, to reduce a noise of the target image. The method comprises generating a plurality of training pairs, wherein a training pair comprises one of the target images and a training image based on at least one but not all of the input images of the subset of input images corresponding to the one of the target image. The method comprises training a neural network using the plurality of training pairs.