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487
results.
Updated on
13/11/2026 [07:35:00]
Results 300 to 325 of 487
Absstract of: WO2026222501A1
A system for determining an optimal configuration for a medication storage cabinet, the system comprising: one or more processors; and a memory storing instructions that, when executed by the one or more processors, cause the system to perform operations comprising: collecting cabinet data and medication data, preprocessing the collected data, wherein the preprocessing includes cleaning, normalizing, and transforming the collected data, performing feature engineering on the preprocessed data to generate engineered features, selecting relevant features, performing dimensionality reduction on the preprocessed data, and training a machine learning model using the selected features, wherein the machine learning model includes a random forest model for generating an initial cabinet configuration and a reinforcement learning model for continuous real-time optimization; generating an optimal configuration for the medication storage cabinet based on the trained machine learning model; and receiving real-time updates and incorporating feedback to refine the generated optimal configuration.
Absstract of: US20260326367A1
0000 Described herein is a printed universal gradient interface (UGI) for stretchable and strain-insensitive bioelectronics. The UGI comprises a multi-polymer gradient extending between a first polymer end and a second polymer end with a graded weight ratio from 1:0 to 0:1. The UGI may connect a biological surface to an electrically conductive material, enabling improved strain insensitivity and electrical stability under high stretch ratios. Methods of making the UGI via aerosol jet printing techniques and bioelectronic devices incorporating the UGI with electrically conductive material are also described.
Absstract of: WO2026222344A1
Described herein is a nerve coaptation device. The nerve coaptation device includes a nerve sheath defining an opening and a plurality of burrs or hooks coupled to an inner surface of the nerve sheath. A first portion of the nerve sheath is configured to receive a first nerve through the opening. A second portion of the nerve sheath is configured to receive a second nerve through the opening. The plurality of burrs or hooks are configured to couple to the first nerve and the second nerve.
Absstract of: US20260325451A1
0000 A delayed-release oral dosage form comprising a container structure defining an internal cavity, a swellable composition disposed within the internal cavity, and an active pharmaceutical ingredient. The container structure includes one or more ingress openings configured to permit entry of external fluid into the internal cavity while substantially preventing release of the active pharmaceutical ingredient prior to rupture of the container structure. Upon exposure to fluid, the swellable composition hydrates and expands within the confined cavity, generating internal pressure. The pressure increases until rupture of at least a portion of the container structure occurs, thereby releasing the active pharmaceutical ingredient after a delay period following administration.
Absstract of: KR20260153464A
본 발명은 청진 시스템에 관한 것으로, 사용자의 신체에서 발생하는 심음(heart sound)을 집속하는 청진 장치; 및 상기 청진 장치와 인접하게 배치되는 마이크로폰을 포함하며, 상기 마이크로폰을 통해 상기 심음을 획득하고, 기 학습된 인공신경망을 이용하여 상기 심음으로부터 심음 데이터를 제공하는 심음 데이터 제공 장치;를 포함하되, 상기 심음 데이터 제공 장치는 상기 인공신경망을 이용하여 상기 심음 데이터, 가속도계 데이터 및 자이로스코프 데이터를 분류하고, 상기 분류에 의한 결과를 기초로 상기 청진 장치의 심음 청진 위치를 가이드하기 위한 정보를 사용자에게 제공할 수 있다.
Absstract of: US20260325219A1
Described herein is an apparatus and method for determining a cardiac implant size. In some embodiments, an apparatus may include an ultrasonic imaging device, at least a processor, and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to, using the ultrasonic imaging device, collect a plurality of ultrasonic images, using a 3D cardiac model generation machine learning model trained on a training dataset comprising example ultrasonic images correlated with example 3D cardiac models, generate a 3D cardiac model based on the plurality of ultrasonic images, generate at least a cardiac measurement based on the 3D cardiac model, determine a cardiac implant size based on the at least a cardiac measurement, and display to a user the cardiac implant size.
Absstract of: WO2026221588A2
The invention relates to an automated processing of 3D dental models to create restoration molds in the field of digital dentistry.
Absstract of: US20260327564A1
A method for generating three-dimensional (3D) cartilage organoids through bioprinting, the method comprising: expanding mesenchymal stem cells (MSCs); preparing a composite bioink; and, bioprinting a cell-laden scaffold to generate the 3D cartilage organoids. Also disclosed is a three-dimensional (3D) cartilage organoid for use in disease modeling and screening, the organoid comprising: human multipotent mesenchymal stem cells (MSCs) and a composite bioink.
Absstract of: WO2026222455A1
A system includes a processor and a storage medium having encoded thereon executable instructions that, when executed by the processor, cause the processor to carry out a method. The method includes receiving surface electrocardiogram (ECG) data of a patient, translating the surface ECG data into 3D spatial coordinates on a right ventricle (RV) anatomical model, and predicting an origin of a ventricular arrhythmia (VA), based on the translated ECG data, on the RV anatomical model.
Absstract of: WO2026221909A1
A method for designing a photon beam bolus for use in photon beam radiation therapy includes receiving three-dimensional imaging data of a patient and delineations of anatomic regions including an external patient contour and an internal target volume. A bolus design algorithm is used to generate a bolus geometry that includes an inner surface conforming to the external patient contour, and an outer surface determined based on the internal target volume and megavoltage photon beam dose deposition characteristics to be applied to the internal target volume. A profile of the photon beam bolus defines a spatially-varying thickness between the inner surface and the outer surface.
Absstract of: US20260325214A1
A system and method for transseptal puncture site selection are disclosed. The system includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive a 3D organ model pertaining to an organ of a subject, receive a treatment plan pertaining to the subject, wherein the treatment plan includes at least an area of interest, and a procedure type, generate treatment guidance as a function of the treatment plan, and generate an overlay for the 3D organ model as a function of a puncture site and an optimized access route.
Absstract of: US20260326376A1
0000 A hybrid printhead apparatus and method for additive manufacturing that integrates Melt Electrowriting, Fused Deposition Modeling, and Electrospinning into a single device is provided. The disclosed embodiments utilize parallel, independently controlled linear guides to deposit delicate, high precision polymer fibers, and subsequently reinforcing them with thicker macroscale fibers. This hybrid method preserves the structural integrity of the delicate underlying meshes despite varying processing temperatures. Furthermore, the disclosed embodiments enable the incorporation of bioactive compounds, such as those derived from Opuntia ficus-indica. By altering the physical pore size of the underlying framework, the disclosed embodiments provide tunable, sustained release kinetics for advanced tissue engineering and chronic wound care.
Absstract of: US20260330798A1
Systems and methods for real time three-dimensional left atrial appendage (LAA) quantification. Deep learning is used to perform LAA segmentation, tracking and live quantification on critical measurement in 4D ultrasound sequences. The collected information may be used for device selection and anomaly detection to assist early-phase disease finding.
Absstract of: US20260325741A1
A system and method for detecting failure of an infusion pump is disclosed. The system includes a communication module that is separate and independent of a pump operating system of the pump. The communication module periodically monitors the pump operating system to determine the operational status of the pump operating system, and establishes a failure of the pump operating system when signals are no longer detected from the pump operating system within a specific predetermined timeout interval. The communication module then communicates with a remote computing device regarding a failure to determine the operational status of the pump operating system. According to various examples, the timeout interval is determined based on predetermined technical factors associated with the infusion pump and/or clinical factors associated with a patient receiving a therapy from the infusion pump, the therapy, or a care area associated with the patient.
Absstract of: WO2026220200A1
This invention relates to a routine management system. In particular, the present invention relates to a routine management system for supporting daily scheduling and self-regulation in children with ADHD. A routine management system according to the invention is provided which comprises a physical routine planner including generally, a plurality of variable activity elements that represent discrete tasks forming part of a varying routine, a user‑wearable reminder device configured to deliver sensory‑regulating feedback to prompt a user regarding the status of tasks, while also logging compliance data, and a mobile application, in electronic communication with both the physical planner and the user-wearable reminder device, which enables the authoring, synchronization, and dynamic updating of the routine based on pre‑determined cycles to facilitate unified tangible task interaction, multisensory prompting, adaptive feedback, and multi‑party communication into a cohesive framework for enhancing self‑regulation and adherence to a routine by a user.
Absstract of: US20260331285A1
0000 Embodiments described relate to techniques for identifying and characterizing biological structures using machine learning techniques. These techniques may be employed to enable a device to identify the particular type of tissue and/or cells (e.g., platelets, smooth muscle cells, or endothelial cells) in, for example, a biological structure, which may be a tissue or a lesion of a duct (e.g., vasculature) in an animal (e.g., a human or non-human animal), among other structures. The machine learning techniques may use raw impedance spectroscopy measurement data in addition to values derived from that raw data. In addition, the machine learning techniques may be used to select frequencies at which to measure impedance and select features to extract from the measured impedance at the selected frequencies to arrive at a small set of frequencies that allow for reliable differentiation.
Absstract of: WO2026222296A1
A system for assessing breastfeeding performance may include a detection unit that may include at least one motion detection sensor, wherein the motion detection sensor may be configured to acquire motion data from a subject. The system may include a processing unit storing instructions that, when executed by the processing unit, may cause the system to acquire, from the detection unit, the motion data. The instructions may further cause the system to determine a facial deformation metric from the motion data, and to determine, based on the deformation metric and based on one or more control datum, an intraoral pressure metric. The instructions may further cause the system to convert the intraoral pressure metric into a pressure quality result. In the event the pressure quality result corresponds to a deficit associated with a breastfeeding abnormality, the instructions may cause the system to generate a deficit-responsive protocol.
Absstract of: US20260325751A1
0000 A medical timer device has processors and memory including instructions that, when executed by the processors, cause timer logic to set a timer for a delivery of a medication by intravenous infusion, to obtain an infusion variable, to calculate a time period for an operational parameter of the infusion based on the infusion variable and to generate an indicator about the operational parameter. An infusion pump and a method of using a medical timer device are also provided.
Absstract of: WO2026222080A1
Systems, devices, and methods for pain management and wellness are disclosed. Some methods described herein include correlating various user and sensor data to improve treatment outcomes. Devices for user treatment are also disclosed.
Absstract of: WO2026222275A1
The disclosure relates to a melanin-detecting pulse oximetry system and a method of calibrating a pulse oximetry measurement. A pulse oximeter sensor obtains an oxygen saturation measurement from a patient, and a reflectance sensor positioned on a finger of the patient by a finger clamp obtains skin reflectance data at wavelengths of about 415 nm, about 515 nm, and about 630 nm. A processor receives the oxygen saturation measurement and the skin reflectance data and generates a calibrated oxygen saturation value based on the oxygen saturation measurement and the skin reflectance data. The reflectance sensor may comprise a spectrometer, and a computing device may apply a regression model and output the calibrated oxygen saturation value through a graphical user interface.
Absstract of: WO2026220883A1
A medical image processing device according to an embodiment comprises: an observation image generation unit that generates a medical observation image from a medical captured image; a depth estimation processing unit that generates depth information related to a depth in the medical captured image so that the depth resolution of a site of interest in the medical captured image is higher than that of a region other than the site of interest; and a display image generation unit that generates a display image including the medical observation image and the depth information.
Absstract of: US20260325040A1
0000 An example method includes continuously recording high-fidelity data at a medical device in a circular buffer. The high-fidelity data can include physiological parameter data, user operational data, and medical device data. The method also includes detecting a trigger event. In response to detecting the trigger event, the medical device can store, in a memory associated with the medical device, a portion of the high-fidelity data corresponding to a period of time after the trigger event. The method further includes transmitting the portion of the high-fidelity data to an external device.
Absstract of: US20260325720A1
0000 Compositions and methods of making of piezoelectric polymer scaffolds and a plurality of charged nanoparticles and methods of use thereof.
Absstract of: WO2026222281A1
An exemplary system for detecting the presence, absence, or risk of cardiotoxicity in a subject can include one or more sensors, a hub device, a cardiotoxicity detection system, and a notification system. The one or more sensors may be worn on the subject's body and can sense one or more physiological parameter signals related to cardiovascular health. The hub device can wirelessly receive the one or more physiological parameter signals from the one or more sensors and transmit the physiological parameter signals to the cardiotoxicity detection system. The hub device and the one or more sensors may communicate through resonant body communication. The cardiotoxicity detection system can determine a cardiotoxicity score based on the physiological parameter signals using a cardiotoxicity machine learning model trained to determine a cardiotoxicity score based on the one or more physiological parameter signals.
Nº publicación: US20260325873A1 22/10/2026
Applicant:
SIEMENS HEALTHINEERS INT AG [CH]
Siemens Healthineers International AG
Absstract of: US20260325873A1
0000 A control circuit accesses information regarding a time-based physiological limit for the particular patient and uses that time-based physiological limit as an optimization objective. The control circuit can then automatically split a treatment trajectory for the radiation treatment plan as a function of that time-based physiological limit.
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