Abstract: This invention relates to an oligonucleotide comprising one or more 2?-modified nucleosides, wherein the 2?-position of the nucleoside has a structure of formula (I). The invention also relates to a pharmaceutical composition comprising the oligonucleotide described herein and a method of reducing or inhibiting the expression of a target gene by administering to the subject a therapeutically effective amount of the oligonucleotide described herein.

Abstract: One aspect of the present invention relates to a compound comprising an antisense strand which is complementary to a target gene; a sense strand which is complementary to said antisense strand; and one or more lipophilic monomers, containing one or more lipophilic moieties, conjugated to one or more positions on at least one strand, optionally via a linker or carrier. Another aspect of the invention relates to a method of gene silencing, comprising administering to a cell or a subject in need thereof a therapeutically effective amount of the lipophilic monomer-conjugated compound.

Abstract: A method, computer program product, and a system where a processor(s) obtains an original image. The processor(s) applies a number of filters to the original image to generate a group of filtered images. The processor(s) stacks the original image with the filtered images in a three dimensional array; each layer of the stack comprises a separate filtered image or the original image and the three dimensional array comprises an augmented version of the original image. The processor(s) facilitates classification of the original image by a deep convolution neural network, where the facilitating comprises providing the augmented version of the original image to the deep convolution neural network, and where the deep convolution neural network classifies the original image based on applying a classification model to the augmented version of the original image The processor(s) receives the classification of the original image from the deep convolution neural network.

Abstract: A method, computer program product, and a system where a processor(s) obtains an original image. The processor(s) applies a number of filters to the original image to generate a group of filtered images. The processor(s) stacks the original image with the filtered images in a three dimensional array; each layer of the stack comprises a separate filtered image or the original image and the three dimensional array comprises an augmented version of the original image. The processor(s) facilitates classification of the original image by a deep convolution neural network, where the facilitating comprises providing the augmented version of the original image to the deep convolution neural network, and where the deep convolution neural network classifies the original image based on applying a classification model to the augmented version of the original image The processor(s) receives the classification of the original image from the deep convolution neural network.