Abstract: Systems and methods process images to determine a skin condition severity analysis and to visualize a skin analysis such as using a deep neural network (e.g. a convolutional neural network) where a problem was formulated as a regression task with integer-only labels. Auxiliary classification tasks (for example, comprising gender and ethnicity predictions) are introduced to improve performance. Scoring and other image processing techniques may be used (e.g. in assoc. with the model) to visualize results such as highlighting the analyzed image. It is demonstrated that the visualization of results, which highlight skin condition affected areas, can also provide perspicuous explanations for the model. A plurality (k) of data augmentations may be made to a source image to yield k augmented images for processing. Activation masks (e.g. heatmaps) produced from processing the k augmented images are used to define a final map to visualize the skin analysis.

Abstract: Systems and methods process images to determine a skin condition severity analysis and to visualize a skin analysis such as using a deep neural network (e.g. a convolutional neural network) where a problem was formulated as a regression task with integer-only labels. Auxiliary classification tasks (for example, comprising gender and ethnicity predictions) are introduced to improve performance. Scoring and other image processing techniques may be used (e.g. in assoc. with the model) to visualize results such as highlighting the analyzed image. It is demonstrated that the visualization of results, which highlight skin condition affected areas, can also provide perspicuous explanations for the model. A plurality (k) of data augmentations may be made to a source image to yield k augmented images for processing. Activation masks (e.g. heatmaps) produced from processing the k augmented images are used to define a final map to visualize the skin analysis.

Abstract: This invention relates to a dermatological composition comprising, as an active ingredient, bacteria of at least one Stenotrophomonas strain and/or at least one Stenotrophomonas growth inducer, and the use thereof in the prevention and/or treatment of atopic dermatitis. This invention also relates to an in vitro method for prognosis and/or diagnosis of atopic dermatitis and a method for selecting a Stenotrophomonas growth inducer.

Abstract: This invention relates to the characterization of the bacterial signature associated with atopic dermatitis and the use thereof in in vitro methods for prognosis and/or diagnosis of atopic dermatitis, methods for monitoring response to a treatment, methods for monitoring the development of atopic dermatitis, as well as methods for selecting compounds useful in the prevention and/or treatment of atopic dermatitis.