Absstract of: WO2026170304A1
A whole breast 3D ultrasound imaging system has a base configured to be worn by a subject. The base has an annular wall for containing an ultrasound transmission fluid around a breast of a subject, and an edge configured to conform to a body surface around the breast of the subject to reduce leakage of the ultrasound fluid between the edge and the body of the subject. The base has an opposed pair of spaced apart needle guide paddles movable to increase or decrease a distance between the needle guide paddles. At least one of the needle guide paddles has a plurality of through-apertures through each of which a biopsy needle is insertable. An ultrasound compression plate is situated between the needle guide paddles. A motor plate subassembly is releasably mounted on the base, and has an ultrasound transducer movable in a plane parallel to the ultrasound compression plate.
Absstract of: WO2026174314A1
Systems and methods are disclosed for automated C-arm guidance that convert image-level understanding into actionable gantry positioning. A keypoint detector trained on rotation-frame-aligned data identifies anatomical keypoints used to compute a gantry pose satisfying geometric view primitives. From an intra-operative fluoroscopic image and associated calibration data, a diffusion model determines three-dimensional geometry, seeds an archetype search, and emits error bounds that trigger intermediate fluoroscopic images when thresholds are exceeded. When no pre-operative three-dimensional imaging is available, population-based models refined by patient input parameters constrain geometry. A six-degree-of-freedom user interface renders sliders and proximity indicators using a sensor stack to converge on the computed pose. Non-rigid keypoint analysis with Random Sample Consensus detects discontinuities, while alignment characteristics derived from vertebra and orthopedic standardized rotation frames provide spinopelvic metrics and distal-to-distal relationships.
Absstract of: US20260245000A1
An apparatus comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to obtain resource usage tracking data from one or more sensing devices associated with a subject, the resource usage tracking data characterizing availability of one or more resources utilized by the subject. The at least one processing device is also configured to determine, based at least in part on the received resource usage tracking data, one or more resource usage metrics for the one or more resources, and to generate, based at least in part on the determined one or more resource usage metrics, one or more feedback signals. The at least one processing device is further configured to transmit the generated one or more feedback signals to at least one additional processing device.
Absstract of: US20260245680A1
Disclosed herein are systems, methods, and computer-program products for automatically detecting the presence of neural responses and incomplete masking in recordings of the electrically evoked compound action potential (eCAP).
Absstract of: WO2026171880A1
Automatic dental implant planning A computer-implemented method for virtually planning a position and orientation of a dental implant model in a jawbone region of an augmented maxillofacial model, including volumetric image data representing a portion of the maxillofacial anatomy and a virtual crown contour. The model is generated with volumetric image data, by identifying in the image data at least a portion of said jawbone region, and providing a shape, position and orientation of the virtual crown contour for a possible crown surface of a dental restoration for replacing a missing or to be extracted tooth. An initial positioning for said dental implant model is estimated, indicating a buccal, crestal and lingual surface of said identified jawbone portion. The distances between a top position of the dental implant model and the crestal bone surface are optimized, also between the dental implant model surface and the buccal and lingual surfaces of the jawbone portion.
Absstract of: WO2026174166A1
Provided herein is a medication and health environmental interactive device (EID), functional through its interactions with external environments and internal environments as a singular and/or part of a comprehensive medication management system, wherein it contains a medication and health EID and/or functions with provisioned network communication systems and cloud servers housing a health portal with electronic applications, which manages health and medication-related conditions as an agentic artificial intelligence health and medication management system. Additionally, the device consists of a medication enclosure for receiving medications within a medication inner-container and/or medication bottle, connects to a multifunctional cap for removal, dispensing, and preserving medications, and wherein the outer- container is a SMART medication container functioning as a personalized health and medication management system through power and electronics systems, integrative taxonomy classification systems, compliance and behavioral modification systems. Also provided are coding systems for quality of care and utilization of care of patients.
Absstract of: WO2026171827A1
There is described a computer-implemented method for assessing the cognitive function of a subject. The method comprises: obtaining subject data that has been collected by carrying out a digital cognitive function test method. The digital cognitive function test method comprises: providing a user interface to the subject; presenting the subject, via the user interface, with a first sequence of images and a sequence of spatial direction indicators, wherein each image of the first sequence of images depicts a respective object and is presented together with a corresponding one of the spatial direction indicators of the sequence of spatial direction indicators; presenting the subject, via the user interface, with a second sequence of images, wherein the second sequence of images comprises a plurality of images that were previously presented to the subject in the first sequence of images, and wherein the images of the second sequence of images are ordered differently to the images of the first sequence of images; and receiving, from the subject via the user interface, image-direction data indicative, for each image of the second sequence of images, of a spatial direction indicator recalled by the subject as having been previously presented together with said image. The subject data comprises the image-direction data. The method further comprises determining, from the subject data, the value of one or more digital biomarkers, the one or more digital biomarkers being indicative of
Absstract of: WO2026171925A1
The present invention relates to a method for self-monitoring a woman being at risk of developing or having preeclampsia, an electronic consumer device configured for use in the method, a computer program and a medical test-kit adapted for the use in the method.
Absstract of: US20260242426A1
0000 Recombinant bacterial collagen-like protein, preferably with an amino acid sequence that is at least ≥60% identical to the amino acid sequence of SEQ ID NO:1 wherein the amino acid sequence comprises a deletion of at least 38 amino acids at the N-terminus of the amino acid sequence of SEQ ID NO:1, wherein the recombinant collagen-like protein is functionalized with at least one thiol group. A bioink comprising the functionalized recombinant bacterial collagen-like protein, at least one solvent and optionally at least one photoinitiator, a process for producing a hydrogel by crosslinking the functionalized recombinant bacterial protein or the bioink as well as the hydrogel obtained therefrom. Furthermore, a scaffold for tissue engineering comprising the hydrogel.
Absstract of: US20260242710A1
A method of manufacturing a patient-specific microfluidic device and a patient-specific microfluidic device are provided. The method includes obtaining three-dimensional (3D) information associated with vascular geometry in a region of interest from one or more clinical images associated with a patient, and fabricating the patient-specific microfluidic device using said 3D information. The patient-specific microfluidic device includes a flow channel having a geometry that substantially corresponds to the vascular geometry in the region of interest.
Absstract of: US20260243768A1
A wearable sensing system converts a home body-fluid sampling event into a clinically usable triage signal. A disposable wearable sensing article includes a directed microfluidic funnel, metering channel, conditioning layer, and biochemical assay core. A mobile module performs optical calibration, executes a stabilization protocol to generate a stability metric, and applies a multi-level quality gate before generating a cryptographically signed Trusted Event Package bound to a decentralized identity. The system routes verified triage outputs to medical endpoints and, when indicated, transmits a Minimum Necessary Emergency Bundle for emergency escalation. First and second embodiments include a nipple-discharge bra-liner and a cervicovaginal pad using consistent terminology and lock points. Exemplary network endpoints include medicalcenter.us, 120.us, bei.app, healthspac.com, medprc.com, beisignal.com, beipanel.com, and beiprint.com.
Absstract of: US20260240516A1
Proposed concepts aim to provide schemes, solutions, concepts, designs, methods, and systems pertaining to cardiac monitoring of a subject which involves obtaining both echocardiogram data and a cardiac activity signal. In particular, embodiments aim to provide a method of cardiac monitoring in which a cardiac rhythm abnormality value is determined and used to generate supplementary data which can accompany the echocardiogram data to provide a comprehensive view of the cardiac behaviour of the subject during a monitoring time period.
Absstract of: WO2026173966A1
Systems and methods may provide orthopedic surgical planning for autonomous robotic surgery. For example, a method can include displaying a user interface including a surgical planning program. The method can include receiving patient information at the surgical planning program, the patient information indicating that a patient has a sagittal plane knee malalignment. The method can include generating, using a machine learning trained model of the surgical planning program, a sagittal plane knee surgical plan based on the patient information, the sagittal plane knee surgical plan being specific to the sagittal plane knee malalignment and including a resection recommendation. The method can include displaying the sagittal plane knee surgical plan on the user interface for use with a robotic arm.
Absstract of: WO2026171828A1
A computer-implemented method of assessing the cognitive function of a subject is described. The method comprises: obtaining subject data that has been collected by carrying out a digital cognitive function test method. The digital cognitive function test method comprises: providing a user interface to the subject; presenting the subject, via the user interface, with a first sequence of images, each image of the first sequence depicting a respective object; receiving, from the subject via the user interface, naming data comprising data indicative of a name attributed by the subject to respective objects in each image of the first sequence; presenting the subject, via the user interface, with a second sequence of images, each image of the second sequence depicting a respective object, wherein the second sequence of images comprises a plurality of images that were previously presented to the subject in the first sequence and a plurality of images that were not previously presented to the subject; and receiving, from the subject via the user interface, image recognition data comprising data indicative of whether the subject identified respective images of the second sequence as being previously presented in the first sequence. Receiving the image recognition data comprises receiving, for each image of the second sequence, a subject selection of one of a plurality of discrete choice indicators including at least one indicator corresponding to the image being an image previously p
Absstract of: US20260241178A1
Systems for programming a neurostimulator for providing electrical neurostimulation to treat a patient are described. The systems are configured to allow a user, typically a clinician, to configure a source stimulation program. The system then uses the source program and/or other inputs to suggest additional stimulation programs (i.e., derivative stimulation programs) that may be created and used to program the patient’s neurostimulator. The other inputs may specify information about the patient, the patient's or clinician’s goals and priorities during the programming session, and/or information about the patient's neurostimulator, such as whether the neurostimulator uses a primary cell or rechargeable battery. The system can execute algorithms to use the source program and/or the other inputs to automatically create the derivative stimulation programs and to program the neurostimulator with those programs.
Absstract of: WO2026173885A1
A process to facilitate conformance between planned and actual use of surgical instrumentation includes obtaining a fluoroscopic image of patient anatomy, the fluoroscopic image being captured based on a current placement of physical instrumentation relative to the patient anatomy, the physical instrumentation including at least one fiducial, wherein the fluoroscopic image depicts the patient anatomy and a projection of the at least one fiducial relative to the patient anatomy, importing an instrumentation model that models the physical instrumentation and an anatomy model that models the patient anatomy, registering the instrumentation model and the anatomy model to the fluoroscopic image, and determining, based on the registering, a deviation of the current placement of the physical instrumentation from a planned placement of the physical instrumentation.
Absstract of: US20260241169A1
0000 Embodiments of an implantable system and apparatus for providing electrical and optical deep brain stimulation are disclosed. Through the biological introduction of light-responsive opsins to neurons, the system is operable to transform neurons into optogenetically programmable state and history-dependent logical transformers. Embedded processors of the system are operable to stimulate individual neurons using phase-shifted electrical and/or optical signals through a neural interface comprising a plurality of carbon nanotubes, then electrically and/or optically measure the neurons. Due to the parallelism and chemical superposition of the human brain, the implantable system is operable to establish a quantum-like processing ability using its neural interface.
Absstract of: WO2026172387A1
Embodiments herein disclose methods and systems for screening and monitoring of neurodegenerative diseases, which consolidates multiple diagnostic functions into a single user-friendly, interactive and personalized platform. Embodiments herein disclose an autonomous interactive gaming system, wherein the systems can capture multi-parameter data, including sensory, cognitive, motor, and posture information, and predict, classify, and identify various neurodegenerative conditions using a multi-variate equation, and machine learning models without clinician intervention. Embodiments herein disclose telemonitoring capabilities that enable clinicians to remotely access and review participant scores and results in real-time.
Absstract of: US20260240434A1
A system for monitoring at least one parameter representative of an episode of decompensation, the monitoring system comprising at least one subcutaneous implant, the subcutaneous implant comprising at least one electrocardiograph and one accelerometer configured to collect information relating at least to the functioning of the heart of the living being, the monitoring system also comprising a computer server and a communication relay configured to allow at least the exchange of information collected by the subcutaneous implant with the computer server, the computer server being configured to calculate changes in at least one parameter, from among hemodynamic and/or respiratory and/or electrophysiological parameters, on the basis of the data collected by at least the accelerometer and the electrocardiograph.
Absstract of: WO2026172388A1
The present invention discloses a system and a method for closed-loop bimodal neuromodulation based on a plurality of physiological parameters The system comprises a wearable device (100) to be worn on a head. The wearable device (100) integrates electrodes (102) positioned at predefined anatomical landmarks to deliver electrical stimulation, audio transducers (104) aligned with ears to deliver auditory stimulation, physiological sensing elements (106) to acquire physiological signals, detection units (108) to capture motion data, and control units (110) to execute signal conditioning, motion artifact suppression, signal quality evaluation using machine learning, and feature extraction to compute the plurality of physiological parameters. The system performs temporal–spatial feature modelling, cognitive state estimation using machine learning, user feedback integration, and adaptive modulation of electrical and auditory stimulation parameters. The system continuously monitors physiological responses and dynamically adjusts stimulation to guide a user toward a selected cognitive state.
Absstract of: WO2026174243A1
Provided herein are systems and methods for predicting glioma distant recurrences along white matter tracts based on probabilistic diffusion tractography. A computing system may identify, for a subject diagnosed with glioma in a brain, an MRI image of a volume including a primary site corresponding to the glioma in a structure of the brain and a plurality of parameters defining the diffusion of water molecules. The computing system may receive data for defining a region of interest (ROI) in the MRI image corresponding to the primary site associated with the first tumor in the brain. The computing system may generate, by applying a function to the plurality of parameters and the ROI, a map for the volume of the brain of the subject. The map may identify a plurality of streamlines through the structure of the brain and a plurality of values corresponding to the plurality of streamlines.
Absstract of: JP7909089B1
【課題】補綴物を適切に作ることを可能にする歯科支援装置及びそのためのプログラムを提供する。【解決手段】患者の歯の画像データを取得し、当該画像データに基づいて歯を複数の領域に分割し、各領域ごとの代表色を算出し、予め定められた基準色体系を細分化して得られた基準色候補との色差を算出し、算出された色差に基づいて該患者に適合する補綴物又は矯正シミュレーションのための色を特定する処理を実行する。【選択図】図1
Absstract of: US20260244472A1
0000 A system and method for resolving an error condition of a medical device includes the medical device, a mobile device, and a host computer. The medical device generates a machine readable code, the machine readable code is read by the mobile device, and the remote computer hosts a uniform resource locator (URL) associated with the machine readable code such that the mobile device can access the URL.
Absstract of: US20260241188A1
A method includes generating, from an electronic 3-dimensional map indicating placement locations of a plurality of electrode arrays, an electronic 2-dimensional map indicating placement locations of the plurality of electrode arrays relative to each other in 2-dimensional space. The electronic 3-dimensional map is associated with a surface area of at least a portion of a body of a patient. The electronic 3-dimensional map indicating the placement locations of the plurality of electrode arrays can be generated based on at least one medical image.
Nº publicación: WO2026171821A1 20/08/2026
Applicant:
FRITSCH TILMAN [DE]
FRITSCH, Tilman
Absstract of: WO2026171821A1
The invention relates to software for a diagnostic method, comprising the following steps: - an item of oral-condition information is captured; - the item of oral-condition information is entered into a central data pool; - an artificial intelligence (AI) operates on the central data pool, wherein the AI has been trained, and is continuously further trained, using correlation data relating items of oral-condition information to items of non-oral health information, - wherein, from the correlation data, the AI calculates and displays a probability of co-occurrence of the item of oral-condition information with a plurality of items of non-oral health information, wherein the AI lists the items of non-oral health information in an order of priority on the basis of the probability of co-occurrence, wherein the prioritisation is performed according to an urgency predefined in the AI.