Abstract: A method for performing predictive operations, the method comprising receiving a classification dataset comprising clock drawing images, generating, using a classifier, one or more classification outputs, the one or more classification outputs comprising one or more identifications of dementia or non-dementia for respective ones of clock drawing images. The classifier comprises one or more weights based on a latent space associated with a relevance factor variational autoencoder (RF-VAE). The RF-VAE comprises an encoder configured to generate the latent space. The RF-VAE comprises a decoder configured to generate reconstructions of the second one or more clock drawings based on the latent space. The latent space comprises one or more latent dimensions representative of one or more unique aspects of variation associated with the second one or more clock drawings. The one or more latent dimensions comprise minimal total correlation between the one or more latent dimensions and two dimensions.

Abstract: A method for performing predictive operations, the method comprising receiving a classification dataset comprising clock drawing images, generating, using a classifier, one or more classification outputs, the one or more classification outputs comprising one or more identifications of dementia or non-dementia for respective ones of clock drawing images. The classifier comprises one or more weights based on a latent space associated with a relevance factor variational autoencoder (RF-VAE). The RF-VAE comprises an encoder configured to generate the latent space. The RF-VAE comprises a decoder configured to generate reconstructions of the second one or more clock drawings based on the latent space. The latent space comprises one or more latent dimensions representative of one or more unique aspects of variation associated with the second one or more clock drawings. The one or more latent dimensions comprise minimal total correlation between the one or more latent dimensions and two dimensions.

Abstract: A method for performing predictive operations, the method comprising receiving a classification dataset comprising clock drawing images, generating, using a classifier, one or more classification outputs, the one or more classification outputs comprising one or more identifications of dementia or non-dementia for respective ones of clock drawing images. The classifier comprises one or more weights based on a latent space associated with a relevance factor variational autoencoder (RF-VAE). The RF-VAE comprises an encoder configured to generate the latent space. The RF-VAE comprises a decoder configured to generate reconstructions of the second one or more clock drawings based on the latent space. The latent space comprises one or more latent dimensions representative of one or more unique aspects of variation associated with the second one or more clock drawings. The one or more latent dimensions comprise minimal total correlation between the one or more latent dimensions and two dimensions.

Abstract: Various embodiments of the present disclosure provide systems and methods for prediction of a risk for mild or severe persistent post-operative pain (POP) for an individual of interest. A risk prediction may be determined based at least in part on a cohort predictive model. The cohort predictive model is associated with a surgical type cohort and initialized with historical multivariate intra-operative vital sign data associated with binary classifications of mild or severe persistent post-operative pain. Using complex higher-order singular value decomposition, phase information for the historical multivariate intra-operative vital sign data is determined. A relationship between phase information and mild or severe persistent POP is then determined using discriminant analysis. Subsequently, phase information for multivariate intra operative vital sign data for an individual of interest is provided to a cohort predictive model, which uses the determined relationship to classify the individual of interest.

Abstract: A patient monitoring system comprises a plurality of sensors and an analysis computing entity. The sensors comprise a visual sensor and a wearable sensor. The visual sensor is configured to capture images of a patient and provide the images of the patient such that the analysis computing entity receives the images. The wearable sensor is configured to capture wearable data. The wearable data comprises (a) biometric data of the patient and/or (b) movement data of the patient. The wearable sensor is configured to provide the wearable data such that the analysis computing entity receives the wearable data. The analysis computing entity is configured to receive the images of the patient and the wearable data, analyze at least one of the images of the patient and the wearable data to determine objective patient data, and update a patient record based on the objective patient data.

Abstract: According to a method for using near infrared spectroscopy to detect compartment syndrome, an optics array is placed around a body region of a patient that contains a vulnerable compartment of tissue. The optics array includes emitters that generate photons at NIR wavelengths and detectors that detect photons at NIR wavelengths. Photons are emitted from at least one of the emitters, and detected at more than one of the detectors after those photons traveled through the tissues of the body region of the patient. A cross-sectional measure of regional differences in absorption within a cross-section of the body region of the patient is displayed so as to allow detection of compartment syndrome. The method is carried out with a device for using near infrared spectroscopy to detect compartment syndrome.

Abstract: A patient monitoring system comprises a plurality of sensors and an analysis computing entity. The sensors comprise a visual sensor and a wearable sensor. The visual sensor is configured to capture images of a patient and provide the images of the patient such that the analysis computing entity receives the images. The wearable sensor is configured to capture wearable data. The wearable data comprises (a) biometric data of the patient and/or (b) movement data of the patient. The wearable sensor is configured to provide the wearable data such that the analysis computing entity receives the wearable data. The analysis computing entity is configured to receive the images of the patient and the wearable data, analyze at least one of the images of the patient and the wearable data to determine objective patient data, and update a patient record based on the objective patient data.

Abstract: A cyanoacrylate adhesive is applied onto intact surface skin areas prone to ulceration so as to inhibit formation of surface skin ulcers.

Abstract: A cyanoacrylate adhesive is applied to non-suturable, non-sterile wound surfaces to protect and/or treat such surfaces, to promote wound healing and to retard infection of the wound.

Abstract: Alkyl cyanoacrylate compositions comprising at least one alkyl cyanoacrylate, a biocompatible plasticizer (preferably an acyl trialkyl citrate wherein the acyl group contains from 2 to 4 carbon atoms and each alkyl group contains from 4 to 6 carbon atoms), and SO2 as an anionic polymerization inhibitor are provided. These compositions are suitable for topical application to human skin.

Abstract: Alkyl cyanoacrylate compositions comprising at least one alkyl cyanoacrylate, a biocompatible plasticizer (preferably dioctyl phthalate), and SO.sub.2 as an anionic polymerization inhibitor are provided. These compositions are suitable for topical application to human skin.

Abstract: A cyanoacrylate adhesive is applied onto surface skin areas prone to ulceration or irritation so as to inhibit irritation of the surface skin due to contact with an artificial device such as prosthetic devices, bandages, casts, etc.

Abstract: A cyanoacrylate adhesive is applied onto skin area prone to exposure to discharge by patients suffering from incontinence so as to shield the skin from direct contact with the discharge. The adhesive can also be applied over medicament that has been applied onto skin surface and onto skin along the periphery of a stoma.

Abstract: Alkyl cyanoacrylate compositions comprising at least one alkyl cyanoacrylate, a biocompatible plasticizer (preferably dioctyl phthalate), and SO.sub.2 as an artionic polymerization inhibitor are provided. These compositions are suitable for topical application to human skin.

Abstract: A cyanoacrylate adhesive is applied onto surface skin areas prone to ulceration so as to inhibit formation of surface skin ulcers.

Abstract: A liquid applicator bottle for holding and applying liquids, such as fabric paint, to surfaces is formed of a resiliently deformable hollow body. The bottle has a base at one end and sloped shoulders at the other end. The shoulders are angled toward each other to form a neck having an opening. A nozzle unit with a substantially cylindrical stem, sharply tapered to a flange, and having a passage therethrough, is mounted in the opening of the neck. The stem extends axially and outwardly from the flange, which is retained within the neck. A cap is removably mountable on the neck, in a covering relationship to the nozzle unit.