Abstract: Embodiments disclosed herein provide compositions, methods, and uses for treating skin wounds, including chronic wounds such as venous ulcers. Certain embodiments provide methods for treating a skin wound, where the entire wound is exposed to zinc, especially in the form of zinc gauze. Certain embodiments provide methods for treating a skin wound, where only a peripheral rim of the wound is exposed to zinc, especially in the form of zinc oxide gauze. Other embodiments provide wound dressings and wound dressing kits, where the dressing and dressing kits include central gauze free of zinc to contact a central drainage zone of the wound and a second zinc gauze to contact a peripheral healing zone of the wound. In certain embodiments, the central gauze is optional.

Abstract: Systems and methods facilitate segmenting a dermoscopy image of a lesion to facilitate classification of the lesion. A dermoscopy image is received from an image source; pre-processed; and segmented. Segmenting the pre-processed dermoscopy image includes applying a thresholding algorithm to the dermoscopy image. The thresholding algorithm includes at least one of a Huang auto-thresholding algorithm, a Li auto-thresholding algorithm, a Shanbhag auto-thresholding algorithm, an Otsu auto-thresholding algorithm, or an Isodata thresholding algorithm. A weighted border error metric is provided to allow prediction of whether segmentation is likely to avoid excluding portions of the lesion. A test is provided for determination of whether image inversion is needed for the methods to provide optimal borders. An iterative expansion algorithm is provided to for determine whether expansion is needed for the methods to provide optimal borders and to determine the degree of expansion needed for more inclusive segmentation.

Abstract: A method for automatic segmentation of dermoscopy skin lesion images includes automating a Geodesic Active Contour (GAC) initialization to be sufficiently large to encompass the lesion yet lie near the actual lesion contour. In addition, a new image plane is found by transforming the original RGB image to a smoothed image that allows the GAC to move without sticking on the minimum local energy. This method can eliminate the need for separate hair or noise removal algorithms. The method may include extraction of designated color planes to improve the initial contour and to automatically correct false segmentations. The method includes an algorithm to correct false protuberances and/or false inlets that may be present in the GAC border. A method is given to increase likelihood of including more actual lesion area. The method yields multiple border choices which may be presented to a classifier for optimal border selection.

Abstract: Methods and immunoassays for diagnosing a bite or sting of a venomous organism in a patient having symptoms consistent with such a bite or sting are provided. A sample of venom is collected from the area of the suspected bite or sting using a swab and then contacted with an antibody that specifically binds to an antigenic site on venom present in the sample. Binding is then detected. The invention is illustrated by examples showing diagnosis of brown recluse spider bite, distinguishing it from other diagnoses with which it is often confused. This extremely sensitive test can detect venom antigens down to about 20 picograms even after the sample has been shipped and stored for periods of up to three weeks during the summer.