Abstract: The present disclosure relates to a camera module (400). The camera module comprises a 3D modelling device (302) for obtaining respective distances to a plurality of adjacent parts of a surface of a body. The camera module also comprises a camera arrangement for acquiring images of the parts of the surface, wherein the camera arrangement comprises at least one camera (306; 310). Said camera comprises a camera sensor for producing said images, a focusing lens for focusing light reflected on the surface of the body onto the camera sensor, and a movable mirror for sequentially directing light from each of said parts of the surface into the focusing lens. The camera module also comprises a housing (401) enclosing both the 3D modelling device and the camera arrangement. The focusing lens is automatically controllable to set a focus of the camera based on the obtained distances.

Abstract: A paper bag and at least one stack of absorbent pads arranged in the bag has a sealed bottom, a sealed top, and a peripheral wall including a front wall, an opposite rear wall, and first and second side walls. The top is formed by adhering: a first top portion of the front wall to an adjacent first top portion of the second side wall, a second top portion of the front wall to an adjacent first top portion of the first side wall, a first top portion of the rear wall to an adjacent second top portion of the second side wall, a second top portion of the rear wall to an adjacent second top portion of the first side wall, and a third top portion of the front wall to a third top portion of the rear wall.

Abstract: The present invention provides protein-based biomarkers and biomarker combinations that are useful in qualifying ovarian cancer status in a patient. In particular, the biomarkers of this invention are useful to classify a subject sample as ovarian cancer, ovarian cancer of low malignant potential, benign ovarian disease or other malignant condition. The biomarkers can be detected by SELDI mass spectrometry.

Abstract: The invention is related to a dengue virus or chimeric dengue virus that contains a mutation in the 3? untranslated region (3?-UTR) comprising a ?30 mutation that removes the TL-2 homologous structure in each of the dengue virus serotypes 1, 2, 3, and 4, and nucleotides additional to the ?30 mutation deleted from the 3?-UTR that removes sequence in the 5? direction as far as the 5? boundary of the TL-3 homologous structure in each of the dengue serotypes 1, 2, 3, and 4, or a replacement of the 3?-UTR of a dengue virus of a first serotype with the 3?-UTR of a dengue virus of a second serotype, optionally containing the ?30 mutation and nucleotides additional to the ?30 mutation deleted from the 3?-UTR; and immunogenic compositions, methods of inducing an immune response, and methods of producing a dengue virus or chimeric dengue virus.

Abstract: A patient introducer for use with a surgical robotic system is disclosed. In one aspect, the patient introducer may include an introducer tube extending between (i) a distal end connectable to a port and (ii) a proximal end configured to receive a surgical tool. The introducer tube may be configured to guide the surgical tool into the port. The patient introducer may also include an alignment member connected to the introducer tube and including a first shape and a first alignment marking. The alignment member may be configured to interface with a manipulator assembly of a robotic system. The manipulator assembly may include a second shape and a second alignment marking, the first shape being complementary to the second shape. The first alignment marking of the alignment member may facilitate rotational alignment of the alignment member and the manipulator assembly.

Abstract: Provided herein are methods and compositions related to inhibiting cancer growth and to treating cancer in a subject. Further provided herein are methods and compositions related to reducing viral load and to inhibiting attachment of enveloped viruses in an individual. In some embodiments, compositions describe herein include an effective amount of one or more of Laminaria japonica, Undaria pinnatifida, Palmaria palmata, Fucus vesiculosus, Grifola frondosa, Ganoderma lucidum, Hericium erinaceus, Cordyceps sinensis, and Euterpe oleracea.

Abstract: The present invention relates to monoclonal antibodies to angiotensin-(1-12) as well as compositions comprising the same and methods of using the same.

Abstract: The present invention relates to a multi-modal sensor module, comprising an electrode base, an insulating film sheet, a functional layer and a protective film; the protective film is used for isolating external environment with a side away from the functional layer for use in contacting surface of biological tissues; the functional layer comprises a substrate and at least one sensor module provided in isolation in the substrate; a side of the electrode base away from the insulating film sheet is used for contacting surface of the biological tissues; the multi-modal sensor module is in a state of collecting electrocardiogram (ECG) signal, a side of the protective film away from the functional layer and a side of the electrode base away from the insulating film sheet are both for contacting surface of the biological tissues, so that the protective film, the biological tissues and the electrode base form an ECG signal collection path.

Abstract: In an example system, multi-sensor motion data that reflects the motion of a user over a period of time is received as recorded by a plurality of motion sensors on wearable devices, specific changes are determined in the data by, firstly, quantifying it using a two-dimensional data transform; secondly, extracting an anomalous area; and thirdly, calculating a number of the anomaly's properties, and the results are input into a machine learning model to detect that the user fell. The machine learning model processes the anomaly's properties and evaluates the current state of the user's activity by classifying the properties against a state space previously calculated by analyzing historical activities of daily living. Depending on a two-dimensional transform implemented, the machine learning model detects when the user falls, as well as potentially allows predicting that the user will suffer a fall in advance of the actual event, aiming at solving the stroke prediction problem.

Abstract: Provided are systems for performing a medical procedure in the intestine of a patient. The system comprises an elongate device and a console. The elongate device comprises a proximal portion, a middle portion, and a distal portion. The elongate device further comprises a functional assembly positioned on the distal portion, the functional assembly being configured to treat and/or diagnose target tissue. The console comprises a human interface device and a controller. The console is configured to robotically manipulate one or more portions of the elongate device, and/or the functional assembly.

Abstract: A system (100) for storing, identifying and localizing supports (20, 21) for tissue samples embedded in paraffin, comprising—a plurality of supports (20, 21), wherein each one is provided with a respective RFID tag (201), said supports (20, 21) being each a histology cassette (20) configured to contain a tissue sample embedded in paraffin, or a slide (21); —a plurality of trays (1), wherein each tray (1) is provided with a respective RFID tag (101), and is configured to contain a plurality of said supports (20, 21), ach tray (1) being provided with a plurality of seats (11), each seat (11) being configured to receive a respective support (20, 21) and each support (20, 21) being adapted to be arranged at a respective seat (11); —at least one component (3) provided with a plurality of RFID antennas (10, 31), said plurality of RFID antennas (10, 31) comprising an RFID antenna (10) for reading the RFID tag (101) of a tray (1) of said plurality of trays, and RFID antennas (31) for reading the RFID tags (201) of th

Abstract: The present invention provides a method capable of detecting single or multiple fetal chromosomal aneuploidies in a maternal sample comprising fetal and maternal nucleic acids, and verifying that the correct determination has been made. The method is applicable to determining copy number variations (CNV) of any sequence of interest in samples comprising mixtures of genomic nucleic acids derived from two different genomes, and which are known or are suspected to differ in the amount of one or more sequence of interest. The method is applicable at least to the practice of noninvasive prenatal diagnostics, and to the diagnosis and monitoring of conditions associated with a difference in sequence representation in healthy versus diseased individuals.

Abstract: A medical instrument can include alignment and attachment mechanisms for aligning and attaching the medical instrument to another device, such as an adapter on an instrument drive mechanism. For example, a medical system can include a medical instrument having an instrument handle and an elongated body. The system can include an alignment mechanism configured to provide rotational alignment between the medical instrument and an adapter. The system can also include an attachment mechanism configured to secure the medical instrument to the adapter. The attachment mechanism can include at least three locking elements positioned circumferentially about the axis.

Abstract: A system and method of using machine learning to predict the pharmacokinetics of a therapeutic radiopharmaceutical on a subject patient using the biodistribution data of the patient in order to dynamically treat the patient using the radiopharmaceutical.

Abstract: Embodiments described herein relate to a support device configured to provide tissue support, during implant-based breast surgery. Embodiments described herein include a matrix sheet disposed in a foldable sheet including one or more templates including at least one of a partial support template and a full support template. The partial support template is configured for use in shaping the matrix sheet into a support device for partial coverage for a breast prosthesis. The full support template is configured for use in shaping the matrix sheet into a support device for full coverage for a breast prosthesis. In some embodiments, the support device is a bioabsorbable mesh substrate, a bioabsorbable polymer coating, and one or more active pharmaceutical agents for delivery at the surgical site. The support device may be provided in various shapes for coverage of the breast prosthesis or provided with templates for various coverage of the breast prosthesis.

Abstract: The present invention is directed to depilatory compositions comprising a depilatory active, alkali metal hydroxide and an aminoalkylpropanol. The compositions have a pH in the range of from 10 to 12.5. The depilatory active preferably contains a thiol group, the alkali metal hydroxide preferably comprises potassium hydroxide and the aminoalkylpropanol preferably comprises aminomethylpropanol. The composition is preferably a gel, mousse, foam, cream, lotion or peelable film, especially a translucent or transparent gel. The depilatory compositions provide effective hair removal yet are well tolerated by the skin and allow for acceptable application times of the composition. The present invention further provides a depilatory composition comprising urea, a carbomer, and a gum; these compositions may or may not comprise aminoalkylpropanol.

Abstract: An apparatus for vital sign extraction. The apparatus may receive a vital signal of a subject from a sensing device. The apparatus may also perform a preprocessing procedure on the vital signal via bandpass filtering and normalization to obtain a preprocessed signal. The apparatus may also perform a time-frequency analysis of the preprocessed signal, and estimate a heart rate of the subject from a dominant component of the preprocessed signal by finding location of a maximum spectral energy of the time-frequency analysis. In addition, the apparatus may identify guard components in the preprocessed signal in view of the dominant component, and derive a respiratory rate of the subject from a length of an interval between the dominant component and each of the guard components.

Abstract: A method for positioning one or both of a gate and a color box on an ultrasound image generated during scanning of an anatomical feature using an ultrasound scanner comprises deploying an artificial intelligence (AI) model to execute on a computing device communicably connected to the ultrasound scanner, wherein the AI model is trained so that when the AI model is deployed, the computing device generates a prediction of at least one of an optimal position, size, or angle for the gate and/or an optimal location/size of the color box on the ultrasound image generated during ultrasound scanning of the anatomical feature, thereafter enabling the acquisition of corresponding Doppler mode signals.