Abstract: A system (100) includes a controller (130) with a memory (131) that stores instructions, and a processor (132) that executes the instructions. When executed by the processor (132), the instructions cause the system (100) to: automatically gather patient information of a patient; rank clinically validated tests for fluid responsiveness based on the automatically gathered patient information; identify a clinically validated test ranked highest; repeatedly perform the clinically validated test ranked highest to monitor fluid responsiveness of the patient; determine whether to continue performing the clinically validated test ranked highest; and output guidance for performing an alternative clinically validated test based on determining not to continue performing the clinically validated test ranked highest.

Abstract: An ultrasound transducer unit (12), e.g. probe, is configured with a friction guiding function. The transducer unit (12) comprises a vibration generating means (20) at a tissue contact area, and has means for sensing a sliding direction of the transducer unit across a tissue surface (42) at which the contact area is incident. The tissue surface may be an external skin surface or an internal tissue surface, e.g. in case of a catheter. A control means is operable to control the vibration of the vibration generator to adjust a level of friction at the tissue contact area. This is used by the control means to implement a friction guiding function for guiding a user in sliding the unit across the incident surface, e.g. toward a target location (44), based on controlling the friction level responsive to sensed sliding direction, for instance providing lower friction when sliding is in a target direction, while leaving other directions with relative higher frictional resistance.

Abstract: A computer implemented method for use in monitoring a first entity in a medical facility comprises: i) obtaining an image of the medical facility, ii) using a machine learning process to fit a first articulated model to the first entity in the image, wherein the first articulated model comprises keypoints corresponding to joints and affinity fields that indicate links between the keypoints. The method further comprises iii) determining a location or posture of the first entity in the medical facility from relative locations of fitted keypoints of the first articulated model in the image.

Abstract: A method for ventilation liberation is provided, including: (1) generating readiness statuses for each of a plurality of patients; (2) generating a risk score for each of the plurality of patients; and (3) generating patient planning data, such as patient assignments for staff members and/or a suggested treatment schedule. The readiness statuses may include SAT, SBT and/or extubation readiness statuses. The readiness statuses are based on patient characteristics such as vital sign measurements, ventilator settings, laboratory data, primary diagnosis data, sedation status, and/or patient medication data. The risk score is based on patient risk factors such as vital sign measurements, primary diagnosis data, patient comorbidity data, and/or reintubation risk data. The patient assignments and/or the suggested treatment schedule are based on the readiness statuses of each of the patients, the risk score of each of the patients, and/or staffing data corresponding to each of the staff members.

Abstract: A display panel includes a display area and a frame area adjacent to the display area. The frame area includes a substrate, and a signal wiring, a planarization layer, a leading wiring, and an encapsulation layer sequentially disposed on the substrate, and the encapsulation layer includes a first inorganic layer disposed on the leading wiring. The display area includes the substrate, the planarization layer, and an anode disposed on a side of the planarization layer away from the substrate, and the leading wiring extends from the side of the anode to the frame area and is connected to the signal wiring. The display panel further includes a barrier layer disposed between the leading wiring and the first inorganic layer, and an orthographic projection of the barrier layer on the substrate covers an orthographic projection of the leading wiring on the substrate.

Abstract: Currently, there is interest in applying machine learning techniques to analyse digital pathology images automatically. Machine learning techniques often rely on training with a ground-truth image input. The quality and amount of training data determines the quality of the detector, as expressed in the rate of true and false positives, and robustness against variations in the appearance of the input images. The present application proposes to obtain image data of the same sample before and after at least one re-staining step (firstly with a structure-revealing stain, and secondly with a bio marker revealing stain). Sections of the first and second image data having a good registration relationship are chosen, along with the probability of detecting a desired candidate object (such as nucleus) and the probability of the bio marker revealing stain being present annotation data suitable for training a machine learning algorithm on the first and/or the second image data is provided.

Abstract: A device (20) and method for controlling a camera (10) are provided. The device comprises an input unit (21) configured to obtain video data from the camera; an image processing unit (22) configured to determine from the obtained video data if a particular person is present alone in a first area monitored by the camera; a control unit (23) configured to generate a control signal for controlling the camera to operate in a first monitoring mode or a second monitoring mode based on the determination by the image processing unit if the particular person is present alone in the first area monitored by the camera; and an output unit (24) configured to output the control signal to the camera.

Abstract: A computer-implemented method is provided for computer intrusion detection. The method includes establishing a mapping from low-level system calls to user functions in computer programs. The user functions run in a user space of an operating system. The method further includes identifying, using a search algorithm inputting the mapping and a system-call trace captured at runtime, any of the user functions that trigger the low-level system calls in the system-call trace. The method further includes performing, by a processor device, intrusion detection responsive to a provenance graph with program contexts. The provenance graph has nodes formed from the user functions that trigger the low-level system calls in the system-call trace. Edges in the provenance graph have edge labels describing high-level system operations for low-level system call to high-level system operation correlation-based intrusion detection.

Abstract: A system (10) is for performing ECG measurements and comprises a probe (12) with an integrated one or more ECG electrodes (22) and an ultrasound sensing means (18), such as a transducer arrangement. The probe thus provides a mobile ECG electrode which can be sequentially moved between a set of different locations on the body for acquiring ECG measurements from different angles relative to the heart (i.e. different ‘leads’). Positioning of the probe in each required location is guided by a position guidance function which uses ultrasound data acquired by the ultrasound sensing means to locate the probe (with reference to an ultrasound body atlas (28) or map), and uses a stored set of reference body locations to guide a user with guidance information as to how to move the probe to arrive at a next target electrode location. In examples, the user may be guided through a sequence of electrode locations, with ECG data acquired at each one, thereby sequentially building up a set of standard ECG lead measurements.

Abstract: An ultrasound transducer unit (12), e.g. probe, is configured with a friction guiding function. The transducer unit (12) comprises a vibration generating means (20) at a tissue contact area, and has means for sensing a sliding direction of the transducer unit across a tissue surface (42) at which the contact area is incident. The tissue surface may be an external skin surface or an internal tissue surface, e.g. in case of a catheter. A control means is operable to control the vibration of the vibration generator to adjust a level of friction at the tissue contact area. This is used by the control means to implement a friction guiding function for guiding a user in sliding the unit across the incident surface, e.g. toward a target location (44), based on controlling the friction level responsive to sensed sliding direction, for instance providing lower friction when sliding is in a target direction, while leaving other directions with relative higher frictional resistance.

Abstract: A computer-implemented method is provided for computer intrusion detection. The method includes establishing a mapping from low-level system calls to user functions in computer programs. The user functions run in a user space of an operating system. The method further includes identifying, using a search algorithm inputting the mapping and a system-call trace captured at runtime, any of the user functions that trigger the low-level system calls in the system-call trace. The method further includes performing, by a processor device, intrusion detection responsive to a provenance graph with program contexts. The provenance graph has nodes formed from the user functions that trigger the low-level system calls in the system-call trace. Edges in the provenance graph have edge labels describing high-level system operations for low-level system call to high-level system operation correlation-based intrusion detection.

Abstract: Currently, there is interest in applying machine learning techniques to analyse digital pathology images automatically. Machine learning techniques often rely on training with a ground-truth image input. The quality and amount of training data determines the quality of the detector, as expressed in the rate of true and false positives, and robustness against variations in the appearance of the input images. The present application proposes to obtain image data of the same sample before and after at least one re-staining step (firstly with a structure-revealing stain, and secondly with a bio marker revealing stain). Sections of the first and second image data having a good registration relationship are chosen, along with the probability of detecting a desired candidate object (such as nucleus) and the probability of the bio marker revealing stain being present annotation data suitable for training a machine learning algorithm on the first and/or the second image data is provided.

Abstract: The invention relates to a printing control device (10) to control printing of a cover layer on a tissue or cell sample to be examined, a system (1) for printing of a cover layer (1) on a tissue or cell sample to be examined, a method to control printing of a cover layer on a tissue or cell sample to be sample to be examined, a computer program element for controlling such device or system for performing such method and a computer readable medium having stored such computer program element. The printing control device (10) comprises an imaging unit (11) and a printing control unit (12). The imaging unit (11) is configured to provide image data of the sample, and to determine a local image parameter from the image data. The local image parameter relates to local tissue porosity and/or a local capillary force of the sample. The printing control unit (12) is configured to control a printing parameter for printing the cover layer on the sample based on the local image parameter.

Abstract: The present application provides a cover plate for a flexible display screen and a flexible display screen, the cover plate comprises deformable regions and non-deformable regions spaced apart along a first direction, the deformable regions comprising memory metal for connecting the non-deformable regions, the number of the non-deformable regions is not less than four; wherein, when the memory metal of the deformable regions is in a low temperature phase shape, the projections of the non-deformable regions at least partially overlaps in a direction perpendicular to the display screen; when the memory metal of the deformable regions is in a high temperature phase shape, the deformable regions and the non-deformable regions are on a same horizontal plane.