Alerta

DEVICE FOR AUTOMATICALLY DISPENSING MEDICATIONS AT PATIENT BEDSIDE IN HOSPITAL CONTEXTS

Resumen de: US20260306364A1

A medication automatic dispensing system in hospital context which allows the preparation of single medication and multi-medication doses for personalized therapies administering, which allows the traceability of the medications contained in the device, together with the therapy administering, and a simple and fast management of the modification of the therapy administered, and allow the traceability of the operations carried out by each health care professional, of the medications loaded and still present in the device and to allow to retrieve all the medications loaded in the device when the patient is discharged.

IMAGE GUIDED PROCEDURES

Resumen de: US20260306178A1

0000 A system includes at least one image data, a viewing device, and a three-dimensionally printed model (“TDPM”). The at least one image data is generated from an imaging device. The viewing device may have extended reality capability. The at least one image data is optionally configured as a virtual three-dimensional object (“VTDO”). The VTDO is optionally configured as an optical three-dimensional object (“OTDO”). The viewing devices provides a visualization of the VTDO or OTDO. A TDPM is generated from a three-dimensional printing apparatus utilizing the at least one data image file (“image data”), by way of a VTDO or optionally a configuration thereof (e.g., a three-dimensional object, “TDO”). The viewing device harmonizes by co-locating the visualization (e.g., VT-DO or OTDO) with the TDPM.

AUTOCLAVE TAG READER FOR ADVANCED HEALTHCARE ARTICLE TRACKING SYSTEM

Resumen de: WO2026213387A1

Various sensing technologies may be used together for an advanced healthcare article tracking system to track items within a hospital (100). Asset tracking may therefore be implemented to provide both humans (118) and robots (114) the ability to track assets (207, 209, 227) as they are stored and moved about within the hospital, with the system also optimizing the scheduling and utilization of operating rooms (102) based on the tracking of the hospital's assets. In one particular instance, an autoclave tag reader (410, 420) may be implemented to sense an autoclave tag (500) and thus track a surgical tool tray (1000) to which the tag is attached from the sterile processing department (104), to the operating room, and back again.

DETECTING AND TRANSMITTING EVENTS ASSOCIATED WITH A SUBJECT

Resumen de: US20260312609A1

0000 Systems and methods for throttling transmitting events associated with a subject are provided. A computer-implemented method can include receiving sensor data collected by one or more sensors associated with a sender device. The computer-implemented method can also include determining an occurrence of an event associated with a subject of the sender device. In some instances, the event is determined based on the sensor data, and the event is associated with a first event type. The computer-implemented method can also include identifying an event-suppression configuration associated with a receiver device, in which the event-suppression configuration identifies a set of event types. The computer-implemented method can also include applying the event-suppression configuration to the event associated with the subject. The computer-implemented method can also include determining that the set of event types includes the first event type.

SYSTEM AND METHOD FOR REAL-TIME MONITORING UTILIZING MACHINE-LEARNING BASED UPON SENSOR DATA

Resumen de: US20260310688A1

System and methods for analyzing data to generate personalized response(s) are disclosed. The method may include, such as by one or more processors, transceivers, and/or sensors: (1) receiving collected sensor data from external data stores; (2) utilizing an NLP model and a computer vision model to categorize the collected data into improvement category, positive category, or neutral category; (3) retrieving policy data corresponding to the user from data store(s); (4) inputting the categorized data and the policy data into a trained machine-learning model to generate personalized responses; (5) generating a presentation of the personalized responses in a device; (6) receiving updated sensor data from the sensor(s) associated with the user; (7) analyzing the updated sensor data to determine a compliance level for the categories to the personalized response(s); (8) comparing the compliance level to a category threshold for the categories; and/or (9) outputting an updated presentation based upon the comparing.

ARTIFICIAL FEMORAL COMPONENT OF KNEE PROSTHESIS AND METHOD OF MANUFACTURING THE SAME

Resumen de: WO2026210502A1

An artificial femoral component of a knee prosthesis, comprising a unitary body formed of cobalt-chromium alloy using Direct Metal Printing (DMP). The unitary body comprises an articulating surface configured to articulate with a tibial component of the knee prosthesis and a bone-interfacing surface comprising a lattice trabecular structure configured to interface with a prepared femoral bone, where the lattice trabecular structure having interconnected pores is formed as an integrated part of the unitary body using the DMP, and where the bone-interfacing surface comprises a Hydroxy Apatite (HA) coating layer applied to the lattice trabecular structure. The polished articulating surface is further enhanced with specialized ceramic coating.

HYBRID THREE-DIMENSIONAL PRINTING AND ELECTROSPINNING PLATFORM FOR MULTI-LAYERED BIOMIMETIC SCAFFOLDS

Resumen de: US20260306705A1

Example embodiments disclose a hybrid three-dimensional (3D) printing and electrospinning system that includes a 3D printer configured to print biomaterial, the 3D printer includes a printer head assembly for extruding a liquid solution that forms the biomaterial via a nozzle, an electrospinning unit for generating electrospin fibers, wherein the printed biomaterials and electrospin fibers are extruded from the same nozzle, and a collection plate for assembling the printed biomaterial and electrospun fibers.

SYSTEMS AND METHODS FOR CUSTOM 3D PRINTING OF PROSTHETIC EYES WITH ENHANCED FUNCTIONAL AND AESTHETIC FEATURES

Resumen de: US20260306247A1

A prosthetic eye or aesthetic contact lens and methods of manufacture of the same using additive manufacturing. Methods may include scanning a functional eye of a user to generate a prosthetic eye model matching the coloring and sizing features of the scanned eye. A substrate is positioned relative to one or more print heads, which deposit polymerizable mixtures as deposited droplets to form the sclera portion, vein pattern, and iris structure. A first polymerizable mixture may replicate a natural sclera, a second polymerizable mixture may form natural features, such as vein patterns, and a third polymerizable mixture may create an iris with a pupil region. The prosthetic eye may include an internal cavity filled with a liquid solution to allow iris movement, liquid pouches for hydration or medication, and integrated electronic components such as cameras, sensors, and wireless communication modules.

XENO-FREE PEPTIDE-BASED BIOINKS AND USES THEREOF

Resumen de: WO2026210487A1

Bioink compositions comprising a plurality of aromatic peptides and a matrix-forming material that is devoid of animal-derived components, such as fibrous nanocellulose (e.g., CNF), additive manufacturing (bioprinting) processes utilizing same and three-dimensional objects obtained thereby, are provided.

SYSTEMS AND METHODS FOR VIDEO-BASED CONE-BEAM COMPUTED TOMOGRAPHY INTEGRATION

Resumen de: WO2026212965A1

Systems and methods for video-based cone-beam computed tomography integration are provided. The method comprises acquiring a sequence of two-dimensional (2D) fluoroscopy image frames that are acquired at various pose angles; processing the sequence of 2D fluoroscopy image frames to extract a joint angle from each 2D fluoroscopy image frame; mapping the joint angle to a pose angle corresponding to each respective 2D fluoroscopy image frame based at least in part on a pre-determined mapping relationship between the joint angle and the pose angle; and reconstructing a three-dimensional (3D) image based on the sequence of 2D fluoroscopy image frames and the associated pose angles.

AUTOCLAVE TAG FOR ADVANCED HEALTHCARE ARTICLE TRACKING SYSTEM

Resumen de: WO2026213383A1

Various sensing technologies may be used together for an advanced healthcare article tracking system to track items within a hospital (100). Asset tracking may therefore be implemented to provide both humans (118) and robots (114) the ability to track assets (207, 209, 227) as they are stored and moved about within the hospital, with the system also optimizing the scheduling and utilization of operating rooms (102) based on the tracking of the hospital's assets. In one particular instance, an autoclave tag (500) may be implemented that is resistant to the heat of the autoclave process to allow the tracking of surgical tool trays (227) from the sterile processing department (104), to the operating room, and back again.

SYSTEMS, DEVICES, COMPOSITIONS, AND METHODS FOR CELLULAR ENCAPSULATION

Resumen de: WO2026213355A1

Provided herein is a temperature-controlled cellular encapsulation system comprising a first container configured to maintain a solution comprising a thermoresponsive polymer below a threshold temperature, an encapsulation assembly fluidically coupled to the first container and comprising a nozzle block received within a thermal block configured to control a temperature of the polymer at or near an outlet of each nozzle, and a second container configured to receive dispensed droplets in a solution maintained above the threshold temperature to form hydrogel capsules. Also provided are three-dimensional thermoresponsive hydrogel capsules comprising a cellular-hydrogel matrix in which less than about 25% of cells have at least one genomic abnormality, assemblies thereof, and methods of forming hydrogel capsules, encapsulating cells, and preparing cellular-hydrogel matrices using the systems described herein.

NON-INVASIVE HUMAN-COMPUTER SYSTEMS BASED ON THE REGISTRATION AND ANALYSIS OF VIBRO-ACOUSTIC OSCILLATIONS OF HUMAN ORGANS AND A HUMAN-COMPUTER INTERFACE BASED ON FIBER-OPTIC SENSORS FOR ITS IMPLEMENTATION

Resumen de: WO2026210005A1

Some aspects include a non-invasive human-computer systems based on registration and analysis of vibro-acoustic oscillations of human organs and a human-computer interface based on fiber-optic sensors for its implementation. One aspect includes a system for interfacing with a user non-invasively. The system can include one or more vibro-acoustic sensors configured to sense vibro-acoustic signals capturing vibrations of at least one organ, a memory unit configured to store the vibro-acoustic signals from the one or more vibro-acoustic sensors, and one or more processing units. The one or more processing units can be configured to detect features in the vibro-acoustic signals, determine a classification of the vibro-acoustic signals based on the detected features in the vibro-acoustic signals, select a command based on the classification of the vibro-acoustic signals, and execute the selected command.

PHYSIOLOGICAL ASSESSMENT USING DOPPLER WAVEFORM ANALYSIS

Resumen de: WO2026213337A2

A system and method for diagnostic and prognostic assessment of physiological conditions using a wireless Doppler probe and a remote detection system. The remote detection system may apply artificial intelligence-based waveform analysis to data received from the wireless Doppler probe to determine physiological classification result associated with an individual. The physiological classification result may include a diagnostic or prognostic assessment related to one or more cardiovascular conditions. The remote detection system can transmit the physiological classification result to a user interface, a clinical data store, or both to aid in further clinical-decision making and thereby enable proactive management of cardiovascular conditions.

SYSTEM AND METHOD FOR DIRECT AUGMENTED REALITY MEDICAL REGISTRATION

Resumen de: US20260306189A1

0000 Systems and methods for augmented reality medical guidance using multi-stage registration, multi-modal visualization, and dynamic compensation are disclosed. A multi-stage registration method establishes coordinate transformations between a tracking system, an augmented reality system, and a patient's anatomy through device-level registration and anatomical registration. Multiple registration approaches are supported including manual, automated, optical, stylus-based, fiducial-based, surface-based, ultrasound-based, and landmark-based registration. A multi-modal visualization method fuses real-time ultrasound imaging with medical imaging data, displaying holographic content including ultrasound flashlight visualization, texture overlays, edge map fusion, and comprehensive guidance information such as holographic light rays and multi-planar reconstruction slices.

AUTOMATIC PREDICTION OF TREATMENT CANDIDATES IN DIGITAL ORAL CARE

Resumen de: WO2026210193A1

Systems and methods are described for automatically determining whether oral care treatment is warranted for a patient, and/or determining whether automated oral care treatment processes are to be executed. The automated oral care treatment processes may be used to generate oral care appliances. When determining whether to perform dental restoration, the techniques may detect restoration indications, which may aid in the determination.

EARLY DETECTION OF NEUROCOGNITIVE DECLINE USING MULTI-MODAL MOBILE-DEVICE BASED ASSESSMENT OF PERSONAL PHOTO INTERACTIONS

Resumen de: US20260311886A1

A method performed by a mobile computing device may comprise accessing, by a mobile computing device, a plurality of personal photographs associated with a user of the mobile computing device. The method further may comprise executing, by the mobile computing device, at least a portion of a multi-activity neurocognitive assessment of a user of the mobile computing device. The multi-activity neurocognitive assessment may include repeatedly collecting multi-modal interaction data by a plurality of sensors of the mobile computing device. The multi-modal interaction data may result from engagement, by the user, with a plurality of personalized neurocognitive activities generated by the mobile computing device using the plurality of personal photographs. The method may further comprise triggering, by the mobile computing device, detection of deviation from a baseline indicative of potential neurocognitive change in the user, the detection being based on evaluation of the collected multi-modal interaction data.

SLEEP SUPPORT SYSTEM

Resumen de: WO2026207591A1

Methods and systems are described for sleep support. In one aspect of the present disclosure, there is provided a sleep support system comprising: a sleep support device comprising a differential temperature sensor and a movement sensor; and a sleep monitoring server, wherein the sleep support device comprises a processor configured to cause transmission of temperature data and movement data of a user to the sleep monitoring server; and wherein the sleep monitoring server is configured to calculate a sleep quality score of the user by combining the temperature data and the movement data and determine aggregated sleep data by combining the sleep quality score of multiple users.

MEDICAL SYSTEM, METHOD FOR OPERATING MEDICAL SYSTEM, AND PROGRAM

Resumen de: WO2026211185A1

Provided are: a medical system that can reduce a burden on a clinical technician and may suppress an increase in examination time; a method for operating the medical system; and a program. The medical system according to the present disclosure: acquires patient identification information on the basis of information obtained from a first sensor and used for identifying a patient entering an imaging room; acquires imaging order information on the basis of the patient identification information; determines whether a setting state of the patient inside the imaging room is appropriate on the basis of the imaging order information and information obtained from a second sensor that acquires information indicating the setting state; and, when a determination result indicates that the setting state is appropriate, displays a start button for receiving an instruction to start imaging.

MACHINE LEARNING MODELS TRAINED WITH NOISE REGULARIZED TEACHER DISTILLATION FOR ANALYSIS OF MULTIMODAL DATA

Resumen de: WO2026213547A1

Presented herein are systems and methods for generating outputs based on biomedical images and associated data. A computing system may obtain (i) a biomedical image of a volume in a subject acquired in accordance with an imaging modality and (ii) a non-imaging dataset associated with the first subject. The computing system may execute a first machine learning (ML) model of an ML architecture using a first plurality of patches from the biomedical image to generate a first plurality of embeddings. The computing system may execute a third ML model of the ML architecture using the non-imaging dataset to generate a third plurality of embeddings. The computing system may execute a third ML model of the ML architecture using the first plurality of embeddings and the third plurality of embeddings. The computing system may generate, based on executing the third ML model, an output.

SYSTEMS AND METHODS FOR PERSONALIZED BREATH BASED GLYCEMIC MONITORING AND PROJECTED A1C TREND ESTIMATION

Resumen de: WO2026213219A1

A non-invasive glycemic monitoring system uses a breath-sensing device to acquire repeated breath sessions from a user and to generate volatile organic compound information together with sample-quality and environmental information. A computing system receives a lab- derived A1C baseline for the user and uses the baseline with the breath-derived information to initialize and update a personalized model. Accepted breath sessions are stored in a rolling history and used to generate a projected A1C trend and a daily progress score or zone output representative of the user's glycemic trajectory. In some embodiments, humidity, temperature, and sample-quality information are used to normalize breath-session data, and optional external inputs including finger-stick data, continuous glucose monitor data, or other external data are fused with the breath-derived information to refine personalization, anomaly handling, reporting, and confirmatory prompts.

ARTIFICIAL INTELLIGENCE BASED METHODS FOR DETERMINING A DISC-AT-RISK AND THE RISK FOR NAION

Resumen de: WO2026213215A1

The present disclosure provides methods for determining whether an eye has a disc-at-risk. The present disclosure provides methods for determining an increased risk of developing NAION in an eye of a patient. The methods use AI models to determine whether an eye has a disc-at-risk, and provide a notification that the eye has a disc-at-risk. The methods use AI models to determine an increased risk of developing NAION in an eye of a patient.

METHODS FOR OPTIMIZING TREATMENT TIME AND PLAN QUALITY FOR RADIOTHERAPY

Resumen de: US20260306875A1

Described herein is a graphical user interface that receives a user-specified treatment time value and displays the resultant dose distributions to a target region and/or organs-at-risk (OARs). The dose distributions are depicted as dose volume histograms (DVHs). The user-specified treatment time value may be adjusted as desired and the DVHs for the target region and/or OARs may be correspondingly updated. In some variations, the graphical user interface may comprise bounded DVHs for the target region and/or OARs, where bounds of the DVH represent the range of dose variability between a short treatment time (e.g., Tmin) and a long treatment time (e.g., Tmax). In some variations, the graphical user interface includes a command button that triggers fluence map optimization using the user-specified treatment time.

MIST INHALER DEVICES

Resumen de: EP4819150A2

0001 A mist inhaler device (200) for generating a mist comprising a therapeutic for inhalation by a user. The device comprises a mist generator device (201) and a driver device (202). The driver device (202) is configured to drive the mist generator device (201) at an optimum frequency to maximise the efficiency of mist generation by the mist generator device (201).

Method and System for Fabricating Dental Prosthetics Based on Data-Driven Precision Color Measurement and Reproduction

Nº publicación: KR20260145254A 07/10/2026

Solicitante:

양정규이진영

Resumen de: KR20260145254A

0001a 데이터 기반 정밀 색상 측정 및 재현을 통한 치과 보철물 제작 방법이 개시되며, 상기 치과 보철물 제작 방법은, 환자의 자연 치아 색상을 측정하는 치아 색상 측정 단계; 측정된 색상 데이터를 처리 및 분석하여 환자의 자연 치아 색상을 재현할 수 있는 색상 또는 색상 조합을 추천하는 색상 데이터 처리 단계; 추천된 색상 또는 색상 조합을 기반으로 보철물을 설계하는 보철물 설계 단계; 및 추천된 색상을 기반으로 보철물을 성형하는 보철물 성형 단계를 포함하며, 상기 치아 색상 측정 단계는, 표준화된 프로토콜에 따른 측정 환경에서, 스펙트럼 카메라와 고분광 센서를 사용하여 치아의 색상을 측정하는 것을 포함한다.