Abstract: An example of a digital artery blood pressure monitor may include a tactile sensor array disposed on an inner surface of a cuff, the tactile sensor array including a plurality of capacitive sensors to detect pressure changes within a digital artery of a finger due to blood flow, where the pressure changes cause changes to capacitance values of one or more capacitive sensors of the tactile sensor array, and control circuitry coupled to the tactile sensor array to receive the capacitance values from the tactile sensor array, and determine a blood pressure based on the capacitance values.

Abstract: A method for detecting false positive variant calls in a next generation sequencing analysis pipeline involves obtaining a plurality of read pileup windows associated with a first sample genome. The method also involves obtaining, for each reference nucleotide position represented in the plurality of read pileup windows, a label indicating that the reference nucleotide position is either (i) a known variant or (ii) a non-variant. The method further involves training a neural network based on data indicative of the plurality of read pileup windows and the labels. Additionally, the method involves receiving a read pileup window associated with a second sample genome. Further, the method involves determining, using the trained neural network, a likelihood that the read pileup window associated with the second sample genome represents a variant.

Abstract: A microscope can be focused to capture sharp images of different portions of a slide including a tissue sample. A focal position of the microscope objective to capture a sharp image for a portion of the slide can be determined based on multiple tissue autofluorescence images pre-captured corresponding to different focal positions. The pre-captured tissue autofluorescence images can be divided into multiple columns of image patches. The focal position for the portion of the slide can be determined based on sharpness metrics of the multiple columns of image patches.

Abstract: One disclosed example method for simulated medical images using GANs includes receiving, by a generative adversarial network (“GAN”), a plurality of training images, the training images associated with an affliction and depicting different stages of progression for the affliction; generating, using the GAN, a latent space based on the training images, the latent space comprising a first set of data points indicating parameters associated with the training images; generating, using the GAN, a second set of data points in the latent space based on simulated images generated from the latent space, the simulated images based at least in part on the first set of data points; after generating the second set of data points: receiving a request for a first simulated image associated with the affliction; and generating and outputting, by the GAN, the first simulated image based on the latent space.

Abstract: One example device includes a first housing portion defining a first coupling surface; a second housing portion defining a second coupling surface, the first housing portion coupled to the second housing portion to form a housing, the first housing portion and the second housing portion defining an opening, the opening intersecting the first coupling surface and the second coupling surface; a first gasket positioned between the first coupling surface and the second coupling surface, the first gasket providing a first seal between the first housing portion and the second housing portion, a printed circuit board (“PCB”) disposed within the housing and coupled to at least one of the first or second housing portions; an electrical connector electrically coupled to the printed circuit board and positioned within the opening; and a second gasket positioned between the electrical connector and the housing, the second gasket providing a second seal between the electrical connector and the housing, wherein the first g

Abstract: A sieving device is described. The sieving device includes an adjustable sieve surface that includes a first sieve surface and a second sieve surface. Openings are formed in each of the first sieve surface and the second sieve surface so as to define a shared pathways extending through the adjustable sieve surface. The shared pathways are defined by a length dimension that is greater than a width dimension. The width dimension can correspond to a cephalothorax width of an insect.

Abstract: Systems and methods for transporting live insects in a secure and environmentally controlled manner. The systems include containers and packaging for transporting the live insects at a controlled temperature and pressure.

Abstract: The present disclosure is related to a sensing device. The sensing device includes a sensor, a memory, a processor, and two radio units. A first radio unit of the two radio units is configured for bidirectional communication with an external device using a first radio communication protocol. The bidirectional communication comprises receiving configuration data from the external device via a first radio signal from the external device. The second radio unit of the two radio units is configured for unidirectional communication with the external device using a second radio communication protocol. The unidirectional communication comprises the second radio unit transmitting a second radio signal to the external device. The second radio signal communicates data including one or more measurements obtained by the sensor.

Abstract: Embodiments relate to an implantable device. Specifically, a device includes a flexible connection component that includes a set of conductive filaments that connect a set of electrodes (or traces connected to the electrodes) and circuitry that receives and/or transmits electronic signals from and/or to the electrodes.

Abstract: In one aspect, a gas chromatography-ion mobility spectrometry (GC-IMS) system is disclosed herein. In some embodiments, the GC-IMS system includes a GC column comprising an inlet and an outlet, and a sample delivery system in fluid connection with the inlet of the GC column and configured to provide a sample to the GC column. The GC column is configured to process the sample and produce a processed sample at the outlet. The GC-IMS system may also include an IMS tube. In some embodiments, the IMS tube includes a sample inlet in fluid communication with the outlet of the GC column, a wall that includes an orifice, and an outlet. The sample inlet may be configured to receive a portion of the processed sample. The IMS tube may be configured to analyze a second portion of pressurized gas.

Abstract: A system for imaging a retina of an eye includes a first lens for positioning proximate to the eye; a light source positioned to illuminate the eye when the system is aligned with the eye; an image sensor adapted to capture a retinal image of the retina through the first lens; an aperture disposed along an optical path extending from the image sensor and passing through the first lens; and a processing apparatus communicatively coupled to the image sensor and the light source, wherein the processing apparatus includes logic that when executed by the processing apparatus causes the system to perform operations including: illuminating the eye with the light source and capturing the retinal image with the image sensor.

Abstract: Systems and methods for depth detection and virtual modeling using surgical robots during a surgical procedure are described. The robotic surgical systems include robotic arms with interchangeable surgical tools. An endoscope at the end of one of the robotic arms includes a depth sensor for detecting a distance from the camera to patient anatomy. The depth data and image data are used to generate a feature model of the patient anatomy for reference by a surgeon. The feature model is displayed to the surgeon in an augmented reality view with preoperative and intraoperative images mapped thereon for reference and guidance of a surgical procedure.

Abstract: A method of compressing insects includes loading an insect container into a retainer. The method further includes adding a population of insects to an interior volume of a compression device. The method further includes adding a foam section to the interior volume of the compression device. The method further includes compressing the interior volume of the compression device and transferring the population of insects and the foam section from the interior volume of the compression device to the insect container.

Abstract: The present disclosure relates to mapping catheters, and in particular to mapping catheters having thin film electrodes used in sensing electrical activity within a patient. Particularly, aspects of the present disclosure are directed to a medical device having a hollow core, a balloon disposed over at least a portion of the hollow core, and a flexible framework having one or more thin film elements formed on at least a portion of the balloon. The one or more thin film elements comprise a plurality of mapping electrodes.

Abstract: Introduced here is an attachable unit that connects to a base unit through a snap-fitting mechanism. The attachable unit can include a top housing structure and a bottom housing structure that are ultrasonically welded together. The top housing structure can include the toe portion that is integral with remaining portions of the top housing structure, where the toe portion is configured to provide the snap-fit with the base unit.

Abstract: One example method includes receiving an image of a tissue sample stained with a stain; determining, by a first trained machine learning (“ML”) model using the image, a first set of abnormal cells in the tissue sample; receiving an autofluorescence image of the unstained tissue sample; determining, by a second trained ML model using the autofluorescence image and the first set of cells, a second set of abnormal cells, the second set of abnormal cells being a subset of the first set of abnormal cells; and identifying the abnormal cells of the second set of abnormal cells.

Abstract: The present disclosure is related to an apparatus and system for synthesizing and administering particle-based therapeutics at the point-of-care. The apparatus includes a first chamber for receiving a first solution including lipids in a first solvent, a second chamber for receiving a second solution including nucleic acids in a second solvent, a mixing channel in communication with the first chamber and the second chamber, and a delivery system in communication with the to the mixing channel. The first solution in the first chamber and the second solution in the second chamber can be introduced into the mixing channel. The particle-based delivery system form in the mixing channel and the nucleic acids adhere to the particles. The formulated particle-based therapeutics are passed through a delivery system to a subject for administration.

Abstract: Embodiments of a system, a machine-accessible storage medium, and a computer-implemented method are described in which operations are performed. The operations comprising receiving a plurality of image frames associated with a video of an endoscopy procedure, generating a probability estimate for one or more image frames included in the plurality of image frames, and identifying a transition in the video when the endoscopy procedure transitions from a first phase to a second phase based, at least in part, on the probability estimate for the one or more image frames. The probability estimate includes a first probability that one or more image frames are associated with a first phase of the endoscopy procedure.

Abstract: The present disclosure provides systems and methods for improving detection and location determination accuracy of abnormalities during a gastroenterological procedure. One example method includes obtaining a video data stream generated by an endoscopic device during a gastroenterological procedure for a patient. The method includes generating a three-dimensional model of at least a portion of an anatomical structure viewed by the endoscopic device based at least in part on the video data stream. The method includes obtaining location data associated with one or more detected abnormalities based on localization data generated from the video data stream of the endoscopic device. The method includes generating a visual presentation of the three-dimensional model and the location data associated with the one or more detected abnormalities; and providing the visual presentation of the three-dimensional model and the location data associated with the detected abnormality for use in diagnosis of the patient.

Abstract: Examples of systems and methods for detecting delays during a surgical procedure are disclosed. For example, one disclosed method includes receiving, a computing device, video of a robotic surgical procedure; determining, by the computing device, an estimated time-to-complete (“TTC”) the robotic surgical procedure based on the video; and in response to determining a deviation between the estimated TTC and an expected duration of the robotic surgical procedure exceeds a threshold, outputting an indication that the robotic surgical procedure is deviating from the expected duration.