Abstract: A method of treating cancer in a subject that includes administering in situ to the cancer a therapeutically effective amount of a plant virus or virus-like particle to the subject.

Abstract: One aspect of the present disclosure relates to a system that can modulate the intensity of a neural stimulation signal over time. A pulse generator can be configured to generate a stimulation signal for application to neural tissue of an individual and modulate a parameter related to intensity of a pattern of pulses of the stimulation signal over time. An electrode can be coupled to the pulse generator and configured to apply the stimulation signal to the neural tissue. A population of axons in the neural tissue can be recruited with each pulse of the stimulation signal.

Abstract: Embodiments discussed herein facilitate building and/or employing a clinical-radiomics score for determining tumor prognoses based on a combination of a radiomics risk score generated by a machine learning model and clinico-pathological factors. One example embodiment can perform actions comprising: accessing a medical imaging scan of a tumor; segmenting a peri-tumoral region around the tumor; extracting one or more intra-tumoral radiomic features from the tumor and one or more peri-tumoral radiomic features from the peri-tumoral region; providing the one or more intra-tumoral radiomic features and the one or more peri-tumoral radiomic features to a trained machine learning model; receiving a radiomic risk score (RRS) associated with the tumor from the machine learning model; determining a clinical-radiomics score based on the RRS and one or more clinico-pathological factors; and generating a prognosis for the tumor based on the clinical-radiomics score.

Abstract: A user-specific model of muscular activity can be used to control an external device based on muscular activity within a limb of a user. The user-specific model of muscular activity can include single movements and corresponding one or more primary muscle patterns. New single movements can be added to the user-specific model of muscular activity can be by a system that includes a processor by receiving user-specific EMG signals (including one or more EMG patterns that indicate a single movement); decomposing the user-specific EMG signals into the one or more EMG patterns in EMG feature space that indicate the single movement; and updating the user-specific model of muscular activity to include the single movement and corresponding one or more primary muscle patterns based on the one or more EMG patterns in EMG feature space.

Abstract: A method of reducing a latent HIV-specific memory-CD4+ T cell pool in a subject includes administering to the subject at least one HIV-1 protein and a pharmaceutically acceptable carrier, wherein the at least one HIV-1 protein is derived from an allogenic infecting HIV-1 virus, and wherein the HIV-1 protein stimulates latent HIV-specific memory CD4+ T cells to induce latent HIV-1 replication resulting in HIV-specific memory-CD4+ T cell death in the subject.

Abstract: A method of treating cancer in a subject in need thereof includes administering in situ to the cancer a therapeutically effective amount of a virus or virus-like particle.

Abstract: An organogold nonlinear optical chromophore includes gold(I) complexed with a benzothiazolyl-substituted fluorophore and optionally an organophosphine ligand or an N-heterocyclic carbene ligand.

Abstract: An insulin composition comprises an insulin analogue and polymer blend. The insulin analogue contains cysteine substitutions at positions B4 and A10 (to form cystine B4-A10), and one or more additional substitutions selected from the group consisting of: a connecting domain of 5-11 amino acids between insulin A- and B domains; a non-beta-branched amino-acid substitution at position A8; a non-beta-branched acidic or polar side chain at position A14; a halogenic modification of PheB24 at the ortho position; and substitution of lysine at position B29 by Glu, Ala, Val, Ile, Leu, amino-propionic acid, amino-butryic acid, or Norleucine. The insulin analogue is compatible with a process of manufacture that includes one or more steps within the temperature range 90-120° C. The encapsulated insulin analogue may optionally contain free PEG or be PEGylated. The insulin analogue-encapsulated polymer blend may be cast as a microneedle patch for topical administration or as micropellets for subcutaneous injection.

Abstract: Systems, methods, and media for displaying interactive augmented reality presentations are provided. In some embodiments, a system comprises: a plurality of head mounted displays, a first head mounted display comprising a transparent display; and at least one processor, wherein the at least one processor is programmed to: determine that a first physical location of a plurality of physical locations in a physical environment of the head mounted display is located closest to the head mounted display; receive first content comprising a first three dimensional model; receive second content comprising a second three dimensional model; present, using the transparent display, a first view of the first three dimensional model at a first time; and present, using the transparent display, a first view of the second three dimensional model at a second time subsequent to the first time based one or more instructions received from a server.

Abstract: A sensor apparatus includes at least one substrate layer of an elastically deformable material, the substrate layer extending longitudinally between spaced apart ends thereof. A conductive layer is attached to and extends longitudinally between the spaced apart ends of the at least one substrate layer. The conductive layer includes an electrically conductive material adapted to form a strain gauge having an electrical resistance that varies based on deformation of the conductive layer in at least one direction.

Abstract: Devices for delivering a controlled concentration of an agent are provided. The device includes a reservoir for the agent and a flow control portion operably connected to the reservoir. The device also includes a valve for releasing the agent from the flow control portion and a pump for flowing air to mix with the agent released by the valve and for flowing the agent and air mixture out of the device. Methods of delivering a vaporized agent to a subject are also provided. The methods include storing a liquid agent in a reservoir of a device and flowing the agent into a flow control chamber to change the agent to a gas. The methods also include mixing the agent in gas form with air and flowing the agent and air mixture out of the device to be delivered to a subject.

Abstract: A zinc-iron chloride flow battery relies on mixed, equimolar electrolytes to maintain a consistent open-circuit voltage of about 1.5 V and stable performance during continuous charge-discharge. Considering the good performance relative to the low-cost materials, zinc-iron chloride flow batteries represent a promising new approach in grid-scale and other energy storage applications.

Abstract: A method of lowering cholesterol and/or PCSK9 levels in a subject in need thereof includes administering to the subject an ADH inhibitor, AKR inhibitor, and/or SNO-CoAR inhibitor at an amount(s) effective to reduce serum cholesterol and/or PCSK9 levels.

Abstract: Embodiments discussed herein facilitate determination of risk of recurrence of atrial fibrillation (AF) after ablation based on fractal features. One example embodiment is configured to generate a binary mask of at least a portion of a CT scan of a heart of a patient with AF; compute one or more radiomic fractal-based features from at least one of the binary mask or the portion of the CT scan; provide the one or more radiomic fractal-based features to a trained machine learning (ML) classifier; and receive a prediction from the trained ML classifier of whether or not the AF will recur after AF ablation, wherein the prediction is based at least in part on the one or more radiomic fractal-based features.

Abstract: Embodiments include controlling a processor to perform operations, the operations comprising accessing a digitized image of a region of tissue (ROT) demonstrating cancerous pathology; extracting a set of radiomic features from the digitized image, where the set of radiomic features are positively correlated with programmed death-ligand 1 (PD-L1) expression; providing the set of radiomic features to a machine learning classifier; receiving, from the machine learning classifier, a probability that the region of tissue will experience cancer recurrence, where the machine learning classifier computes the probability based, at least in part, on the set of radiomic features; generating a classification of the region of tissue as likely to experience recurrence or non-recurrence based, at least in part, on the probability; and displaying the classification and at least one of the probability, the set of radiomic features, or the digitized image.

Abstract: In an example, a system includes a plurality of acoustically coupled nodes. Each of the nodes includes a transducer, a communication circuit and a controller. The transducer is adapted to be mechanically coupled to a medium. The communication circuit is coupled to the transducer to send and receive acoustic signals via the medium according to at least one communication parameter. The controller is to adaptively configure the at least one communication parameter of the communication circuit based on an acoustic signal received from at least one other of the nodes.

Abstract: Embodiments facilitate generation of a prediction of long-term survival (LTS) or short-term survival (STS) of Glioblastoma (GBM) patients. A first set of embodiments discussed herein relates to training of a machine learning classifier to determine a prediction for LTS or STS based on a radiographic-deformation and textural heterogeneity (r-DepTH) descriptor generated based on radiographic images of tissue demonstrating GBM. A second set of embodiments discussed herein relates to determination of a prediction of disease outcome for a GBM patient of LTS or STS based on an r-DepTH descriptor generated based on radiographic imagery of the patient.

Abstract: A system for displaying and interacting with magnetic resonance imaging (MRI) data acquired using an MRI system includes an image reconstruction module configured to receive the MRI data and to reconstruct a plurality of images using the MRI data, an image rendering module coupled to the image reconstruction module and configured to generate at least one multidimensional image based on the plurality of images and a user interface device coupled to the image rendering module and located proximate to a workstation of the MRI system. The user interface device is configured to display the at least one multidimensional image in real-time and to facilitate interaction by a user with the multidimensional image in a virtual reality or augmented reality environment.

Abstract: An example method includes storing marking data to specify at least one selected marking to apply at a target location along a vehicle path of travel, the marking data including a machine-readable description and a marking reference coordinate frame for the selected marking. The method also includes generating task plan data to apply the selected marking based on the marking data and at least one parameter of an application tool. The method also includes determining a location and orientation of the application tool with respect to the vehicle path of travel based on location data representing a current location of a vehicle carrying the application tool. The method also includes computing a joint-space trajectory to enable the application tool to apply the selected marking at the target location based on the task plan data and the determined location of the application tool.

Abstract: Provided herein are methods and a device for collecting biological samples. In particular, the present disclosure relates to a device designed to specifically capture samples within the target areas of a patient for specific cell collection for particular diagnosis.