Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final progression score characterizing a likelihood that a state of a medical condition affecting eye tissue will progress to a target state in a future interval of time. In one aspect, a method comprises: obtaining: (i) an input image of eye tissue captured using an imaging modality, and (ii) a segmentation map of the eye tissue in the input image into a plurality of tissue types; providing the input image to each of one or more first classification neural networks to obtain a respective first progression score from each first classification neural network; providing the segmentation map to each of one or more second classification neural networks to obtain a respective second progression score from each second classification neural network; and generating the final progression score based on the first and second progression scores.

Abstract: A process is provided for forming a building product having a color variation representative of a “natural” building material. The process includes feeding a first amount of a first material and a second amount of a second material to an extruder, mixing at least a portion of the first amount with at least a portion of the second amount in the extruder to form a third material, and extruding the third material from the extruder to form a product from the extruded third material. The formed product has a color variation representative of a “natural” building material such as ceramic, clay, wood, slate, stone, brick, concrete, metal, etc. The first material is formed of a first fiber, a first resin, and a first colorant. The second material is formed of a second fiber, a second resin, and a second colorant, wherein the second colorant is different than the first colorant.