Resumen de: US20260182952A1
0000 Proposed concepts aim to provide schemes, solutions, concepts, designs, methods and systems pertaining to predicting a remaining duration of a cardiotocograph (CTG) scanning session of a subject. In particular, CTG data and movement data of the subject during the scanning session are obtained. This data is then analysed to identify artifacts in the CTG data associated with movement of the subject. From the CTG data, movement data and artifacts, a remaining duration of the CTG scanning session can be predicted. In this way, despite the potential for signal drop-outs during the scanning session, acquisition of a sufficient amount of CTG data during the scanning session may be assured.
Resumen de: US20260183035A1
0000 An energy module is disclosed that includes a housing, a port mounted to the housing, a first emitter and a first receiver aligned with the first emitter, a second emitter and a second receiver aligned with the second emitter, and a control circuit in operable communication with the first emitter, the first receiver, the second emitter, and the second receiver. The control circuit is operable to emit a first beam from the first emitter toward the first receiver, emit a second beam from the second emitter toward the second receiver, and determine a type of surgical instrument coupled to the port based on the first receiver receiving or failing to receive the first beam and the second receiver receiving or failing to receive the second beam.
Resumen de: US20260182947A1
0000 A method of controlling an X-ray system can include placing a breast of a patient into a breast compression assembly including a breast positioning area. Denseness of tissue of the breast is measured using an absorption contrast imaging apparatus, and the results are transmitted to a work-station. The absorption contrast imaging measurement results are processed using the work-station to determine coordinates of potential cancer sites in the tissue. The absorption contrast imaging apparatus is moved away from the breast positioning area, and a diffractometer is moved into the breast positioning. Measurements are performed at the coordinates of the potential cancer sites using a diffractometer, and the results are transmitted to the work-station. The obtained diffractometer measurement results are processed using the work-station to perform analysis of the diffractometer measurement results, and to perform diagnostics using the analyzed diffractometer measurement results.
Resumen de: WO2024015911A1
In one aspect, build materials for use with a three-dimensional (3D) printing system are described herein. In some embodiments, a build material described herein comprises an acrylate component, a photoinitiator component, a non-curable absorber component, and water. The photoinitiator component of the build material is operable to initiate curing of the acrylate component and/or other curable materials that may optionally be present when the photoinitiator is exposed to incident curing radiation having a Gaussian distribution of wavelengths and a peak wavelength λ. The build material has a penetration depth (Dp) and a critical energy (Ec) at the wavelength λ. In some embodiments, the Dp is greater than 200 μm and less than 300 μm, and the Ec is 3-1 2 mj/cm2. In other embodiments, the Dp is greater than 10 μm and less than 50 μm, and the Ec is 5-40 mj/cm2.
Resumen de: US20260182938A1
0000 A breast rest for a mammography device includes a front panel on a patient-facing side of the breast rest and a top panel having a concavity configured to accommodate a breast of a patient. A transition from the front panel to the top panel can be curved. The breast rest can be included in the mammography device. The breast rest can further include side panels. The breast rest can further include an open end to receive a breast test instrument. Multiple sizes and/or shapes of the breast rest can be provided and selected from based on patient data. Breast rests can be manufactured for particular patients having sizes and/or shapes determined from patient data.
Resumen de: US20260182911A1
0000 The present application provides embodiments of exoskeletons, methods of controlling thereof, and tremor simulator devices. According to an embodiment, there is provided an exoskeleton. The exoskeleton comprises a first support; a second support; a joint structure rotatably connecting the first support and the second support; and a controller. The second support comprises: a first anchor component connecting to the joint structure, a second anchor component, and a sensor coupled to the controller, wherein the first anchor component and the second anchor component are connected by a variable stiffness unit coupled to the controller, and wherein the variable stiffness unit is configured to provide a variable damping force determined by the controller to reduce an amplitude of a tremor sensed by the sensor.
Resumen de: US20260182870A1
0000 Techniques disclosed herein relate to food analysis and glucose level management. In some examples, the techniques involve determining a consumption of a food item by a user, receiving data indicative of a glucose level of the user, determining an effect of the food item on the glucose level of the user based on a change of the glucose level of the user, and storing the effect of the food item on the glucose level of the user that includes data associated with one or more effects of the food item on the glucose level of the user.
Resumen de: AU2024389410A1
A continuous analyte monitoring system includes first and second analyte sensors configured to sense analytes such as lactate and glucose in the tissue of a user. A controller Is coupled to the analyte sensors and configured evaluate first samples of outputs of the first analyte sensor and second samples of outputs of the second analyte sensor with respect to one another to determine whether the first samples and the second samples indicate compression of the tissue. If the first samples and the second samples indicate compression of the tissue, compensate for the compression of the tissue with respect to the first samples. The controller may evaluate the machine learning models using a machine learning model or a filter.
Resumen de: AU2026204455A1
Methods for selecting a cancer patient for immunotherapy comprise establishing a total passenger gene mutation burden from a tumor of a cancer patient, generating a background distribution for the mutational burden of the tumor, normalizing the total passenger gene mutation burden against the background distribution, and categorizing the cancer patient as an immunotherapy responder when the total passenger gene mutation burden is greater than the mean of the background distribution. When the cancer patient is an immunotherapy responder, the patient may be administered an immunotherapy regimen that comprises activation/inhibition of T cell receptors that promote T cell activation and/or prolong immune cytolytic activities. un u n e t h o d s f o r s e l e c t i n g a c a n c e r p a t i e n t f o r i m m u n o t h e r a p y c o m p r i s e e s t a b l i s h i n g a t o t a l p a s s e n g e r g e n e m u t a t i o n b u r d e n f r o m a t u m o r o f a c a n c e r p a t i e n t , g e n e r a t i n g a b a c k g r o u n d d i s t r i b u t i o n f o r t h e m u t a t i o n a l b u r d e n o f t h e t u m o r , n o r m a l i z i n g t h e t o t a l p a s s e n g e r g e n e m u t a t i o n b u r d e n a g a i n s t t h e b a c k g r o u n d d i s t r i b u t i o n , a n d c a t e g o r i z i n g t h e c a n c e r p a t i e n t a s a n i m m u n o t h e r a p y r e s p o n d e r w h e n t h e t o t a l p a s s e n g e r g e n e m u t a t i o n b u r d e n i s g r e a t e r t h a
Resumen de: US20260182868A1
Embodiments that compensate for changes to sensor response characteristics (e.g., sensitivity) due to time durations are disclosed. The time durations can be the amount of time the sensor is in a post-manufacture packaged state prior to use, or the amount of time the sensor is in use. Sensor response changes due to other variables can also be compensated for.
Resumen de: US20260182928A1
0000 The present disclosure relates to a method of evaluating a neuromuscular system, the method comprising: obtaining a neuromuscular system signal; dividing the neuromuscular system signal into a plurality of segment units based on frequency; extracting a feature vector for each of the divided plurality of segments; and performing neuromuscular system condition evaluation by inputting the extracted feature vector into an artificial intelligence model trained through artificial intelligence-based model training.
Resumen de: US20260183092A1
Embodiments relate to a systems and methods for preventative irradiative dental treatment. In accordance with one embodiment, a system and method include using a radiation source to generate a radiation; using an optic disposed to accept the radiation to internally reflect he radiation at a first end; using at least one side of the optic to contact a dental hard tissue; using the optic to couple some of the radiation into the dental hard tissue; and, using a controller to control a parameter of the radiation to heat a surface of the dental hard tissue.
Resumen de: US20260188486A1
0000 According to an embodiment of the present disclosure, disclosed is a method for evaluating qualities of electrocardiogram data and diagnosing a disease only with a signal having an excellent quality. Specifically, according to the present disclosure, a computing device evaluates qualities of electrocardiogram data obtained from a plurality of leads, excludes electrocardiogram data obtained from at least one lead among the plurality of leads based on the evaluation of the qualities of the electrocardiogram data, and performs electrocardiogram analysis based on remaining electrocardiogram data by using a pre-learned electrocardiogram analysis model.
Resumen de: US20260182894A1
0000 Methods of generating a graphical representation of cardiac information on a display screen are provided. The method comprises: electronically creating or acquiring an anatomical model of the heart including multiple cardiac locations; electronically determining a data set of source information corresponding to cardiac activity at the multiple cardiac locations; electronically rendering the data set of source information in relation to the multiple cardiac locations on the display screen. Systems and devices for providing a graphical representation of cardiac information are also provided.
Resumen de: WO2026138305A1
The present application relates to the technical field of 3D printing materials, and discloses a 3D printing resin material and a method for 3D-printing a dental hard occlusal splint by using the 3D printing resin material. The 3D printing resin material comprises the following raw materials in parts by weight: 5-50 parts of multi-curable blocked polyurethane acrylate, 5-50 parts of an acrylate resin, 15-55 parts of an acrylamide monomer and/or an acrylate monomer containing hydroxyl or carboxyl, 1-4 parts of an initiator, 0.01-2 parts of an absorbent, and 0.5-3 parts of nanosilicon dioxide. The dental hard occlusal splint 3D-printed by using the 3D printing resin material of the present application has excellent biocompatibility, high strength, high modulus, excellent tear resistance, excellent abrasion resistance, low water absorption value, and low dissolution value.
Resumen de: US20260182898A1
0000 The present invention discloses an analysis and identification method, system and storage medium for electrocardiograms. The method includes: constructing a concept tree based on definitions in electrocardiogram and arrhythmia knowledge, and establishing an arrhythmia electrocardiogram data set; performing data enhancement processing on the arrhythmia electrocardiogram data set based on the concept tree to construct prior data; constructing an ECG prior model based on the prior data; optimizing the ECG prior model to obtain a target identification model; and analyzing and identifying an electrocardiogram to be analyzed based on the target identification model, and determining an identification result of the electrocardiogram to be analyzed. The present invention has high accuracy and high efficiency, and can be widely used in the field of computer technologies.
Resumen de: US20260183091A1
The invention relates to a computer-implemented method, a system and a computer program product for supporting preoperative planning of placement of a dental implant in a patient's jaw. A dental axis representation, a dental crown representation and/or an implantation axis representation is generated using a provided digital 3D surface visualization, e.g. a digital plaster model, at least part of the existing dental crowns and/or the oral mucosa of the patient and statistical parametric 3D shape models (SSM). This is done based on the digital 3D surface visualization and the corresponding statistical parametric 3D shape model. In addition, the method, system and computer program product can also be used to generate a corresponding statistical parametric 3D shape model. For a plausibility check, the determined representations for the tooth axis, crown and/or implantation axis can be displayed in an additionally recorded 2D X-ray image, e.g. an orthopantomogram.
Resumen de: US20260182908A1
The present disclosure relates to a method and system for acquiring and analyzing physiological signals of a subject to detect risk or occurrence of stroke or brain infarction. A wearable wireless device together with one or more clusters of electrodes can be used to record the physiological signals during the sleep-wake cycle. The physiological signals may be utilized to perform sleep and wake analysis. In some instances, the physiological signals corresponding to each hemisphere of the brain may be compared, for example, using coherence, to quantify asymmetry across hemispheres and to identify possible strokes, silent brain infarcts (SBIs), or aneurysms. Biomarkers may be extracted based on sleep and wake analysis and coherence. The biomarkers may include an indication of obstructive sleep apnea or apnea risk, a reduced duration of slow wave sleep, or a presence of SBIs, or aneurysms. A prediction model may be used to generate a stroke risk score based on the biomarkers for early detection of potential individuals at risk of stroke.
Resumen de: US20260187108A1
0000 A knowledge base is developed by receiving language input from a source, vectorizing it, extracting an incomplete predicate set, querying another source for input regarding the missing part of the predicate set, and storing a complete predicate set.
Resumen de: US20260183065A1
0000 Novel tools and techniques are provided for implementing intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem to placement procedures for cardiac implantable electronic device (“CIED”). In various embodiments, a computing system might analyze received one or more first layer input data (i.e., room content-based data) and received one or more second layer input data (i.e., patient and/or tool-based data), and might generate one or more recommendations for guiding a medical professional in performing a CIED placement procedure in a heart of the patient, based at least in part on the analysis, the generated one or more recommendations comprising 3D or 4D mapped guides toward, in, and around the heart of the patient. The computing system might then generate one or more XR images, based at least in part on the generated one or more recommendations, and might present the generated one or more XR images using a UX device.
Resumen de: US20260189908A1
0000 Systems and methods for continuous measurement of an analyte in a host are provided. The system generally includes a continuous analyte sensor configured to continuously measure a concentration of analyte in a host and a sensor electronics module physically connected to the continuous analyte sensor during sensor use, wherein the sensor electronics module is further configured to directly wirelessly communicate sensor information to one or more display devices. Establishment of communication between devices can involve using a unique identifier associated with the sensor electronics module to authenticate communication. Times tracked at the sensor electronics module and the display module can be at different resolutions, and the different resolutions can be translated to facilitate communication. In addition, the frequency of establishing communication channels between the sensor electronics module and the display devices can vary depending upon whether reference calibration information is being updated.
Resumen de: US20260183475A1
A system for electronic patient care includes a hub. The hub is configured to monitor a patient-care device. The sandbox may be configured to control access to at least one of a hardware resource and a software resource. The hub is further configured to identify the patient-care device and execute an application to monitor the patient-care device. The hub executes the application within the sandbox component such that the application accesses the at least one of the hardware resource and the software resource through the sandbox component. The hub may be further configured to control the patient-care device. The hub may be further configured to receive an identification from the patient-care device and download the application from a server associated with the identification. The hub may be further configured to receive an identification from the patient-care device and update the application from a server associated with the identification.
Resumen de: US20260182920A1
A method for collecting weight data from an infant sleep device includes measuring weight of an infant positioned on a platform of the infant sleep device with one or more weight sensors at multiple collection instances including prior to movement of the platform, when the platform is moving, or after movement of the platform stops for a predetermined period. The method includes calibrating the one or more weight sensors upon startup and re-calibrating at regular intervals or automatically when a system weight changes when the infant is not present on the platform.
Resumen de: US20260183087A1
Determine an amount of movement between an “anterior” updated instant and a “posterior” updated instant after the anterior updated instant. At the anterior updated instant, implementing an analysis method to obtain an anterior updated item of spatial information. Analyze a set of several images to obtain spatial information. Create a historical learning database relating to a dental body and the spatial attribute, with a set of historical images all depicting the dental body and an item of spatial information.Training the neural network, by providing the sets of several historical images as input and with the historical spatial information as output, with the spatial attribute defining an ordered sequence of variables in a three-dimensional reference frame. At the posterior updated instant, implement analysis to obtain a posterior updated item of spatial information. Compare the anterior and posterior updated spatial information, to obtain an amount of movement.
Nº publicación: DE112024003755T5 02/07/2026
Solicitante:
GYRUS ACMI INC DBA OLYMPUS SURGICAL TECHNOLOGIES AMERICA [US]
Gyrus ACMI, Inc. d/b/a Olympus Surgical Technologies America
Resumen de: DE112024003755T5
Es werden Systeme, Vorrichtungen und Verfahren zur Bestimmung oder Anpassung eines Bildgebungsmodus zur Verwendung bei der Untersuchung von Gewebe oder Fremdkörpern während eines endoskopischen Eingriffs offenbart. Ein beispielhaftes Endoskopiesystem umfasst ein Endoskop und eine Steuerschaltung. Das Endoskop umfasst ein Bildgebungssystem zur Erfassung von Bildern oder Videodatenströmen einer Zielanatomie während eines endoskopischen Eingriffs. Die Steuerschaltung kann aus den erfassten Bildern oder Videodatenströmen endoskopische Bild- oder Videomerkmale generieren, die eine Anomalie in der Zielanatomie charakterisieren, und einen personalisierten, pathologiespezifischen Bildgebungsmodus bestimmen, um die Erkennbarkeit der Anomalie anhand der Bilder oder Videodatenströme zu verbessern. Der empfohlene Bildgebungsmodus kann unter Verwendung eines trainierten Maschinenlernmodells bestimmt werden. Der empfohlene Bildgebungsmodus kann einem Benutzer oder einem Prozess bereitgestellt werden, um die manuelle oder automatische Anpassung des endoskopischen Bildgebungsmodus während des endoskopischen Eingriffs zu erleichtern.