Abstract: An image processing method is provided that automatically calculates Body Surface Area (BSA) score using machine learning techniques. A Felzenszwalb image segmentation algorithm is used to define proposed regions in each of a plurality of training set images. The training set images are oversegmented, and then each of the proposed regions in each of the plurality of oversegmented training set images are manually classified as being a lesion or a non-lesion. A Convolutional Neural Network (CNN) is then trained using the manually classified proposed regions in each of the plurality of training set images. The trained CNN is then used on test images to calculate BSA scores.

Abstract: An image processing method is provided that automatically calculates Body Surface Area (BSA) score using machine learning techniques. A Felzenszwalb image segmentation algorithm is used to define proposed regions in each of a plurality of training set images. The training set images are oversegmented, and then each of the proposed regions in each of the plurality of oversegmented training set images are manually classified as being a lesion or a non-lesion. A Convolutional Neural Network (CNN) is then trained using the manually classified proposed regions in each of the plurality of training set images. The trained CNN is then used on test images to calculate BSA scores.

Abstract: An image processing method is provided that automatically calculates Body Surface Area (BSA) score using machine learning techniques. A Felzenszwalb image segmentation algorithm is used to define proposed regions in each of a plurality of training set images. The training set images are oversegmented, and then each of the proposed regions in each of the plurality of oversegmented training set images are manually classified as being a lesion or a non-lesion. A Convolutional Neural Network (CNN) is then trained using the manually classified proposed regions in each of the plurality of training set images. The trained CNN is then used on test images to calculate BSA scores.

Abstract: An image processing method is provided that automatically calculates Body Surface Area (BSA) score using machine learning techniques. A Felzenszwalb image segmentation algorithm is used to define proposed regions in each of a plurality of training set images. The training set images are oversegmented, and then each of the proposed regions in each of the plurality of oversegmented training set images are manually classified as being a lesion or a non-lesion. A Convolutional Neural Network (CNN) is then trained using the manually classified proposed regions in each of the plurality of training set images. The trained CNN is then used on test images to calculate BSA scores.

Abstract: The present disclosure describes analog conotoxin peptides of the ?-conotoxin peptide RgIA. These analog conotoxin peptides block the ?9?10 subtype of the nicotinic acetylcholine receptor (nAChR) and can be used for treating pain and inflammation including inflammatory pain, cancer related pain, and neuropathic pain. The RgIA analogs described in the present invention include a variety of sequence modifications and chemical modifications that are introduced to improve the drug-like characteristics of RgIA analogs and thereby increase their therapeutic value.

Abstract: Disclosed herein are methods of treating ophthalmic conditions such as dry eye and uveitis by administering a pharmaceutical composition including a toxin-based therapeutic peptide. The peptide can include an acid or amide at the C-terminus and can be attached to an organic or inorganic chemical entity that has an anionic charge.

Abstract: Depot formulations including therapeutic proteins are provided. The therapeutic proteins can be toxin-based therapeutic proteins. The depot formulations release the therapeutic protein within sustained effective levels for at least one month following a single administration. The toxin-based therapeutic proteins can include ShK-based proteins.

Abstract: Disclosed herein are methods of treating immune dysregulation, polyendocrinopathy, enteropathy, X-linked syndrome (IPEX) comprising administering a toxin-based therapeutic peptide, such as an ShK-based peptide. The peptide can include an acid or amide at the C-terminus and/or the peptide can be attached to an organic or inorganic chemical entity that has an anionic charge.

Abstract: Disclosed herein are compounds and related compositions for the treatment of viral infection, including RNA viral infection, and compounds that can modulate the RIG-I pathway in vertebrate cells, including compounds that can activate the RIG-I pathway.

Abstract: Disclosed herein are compounds and related compositions for the treatment of viral infection, including RNA viral infection, and compounds that can modulate the RIG-I pathway in vertebrate cells, including compounds that can activate the RIG-I pathway.

Abstract: Disclosed herein are compounds and related compositions for the treatment of viral infection, including RNA viral infection, and compounds that can modulate the RIG-I pathway in vertebrate cells, including compounds that can activate the RIG-I pathway.