Resumen de: US20260325874A1
To facilitate optimizing a radiation treatment plan for a particular patient using a particular radiation treatment apparatus, by one approach, a control circuit iteratively accesses a fluence space optimization solution for a radiation treatment plan for the particular patient, generates control point parameters for the particular radiation treatment apparatus as a function of the fluence space optimization solution, determines a treatment delivery time using the control point parameters for the particular radiation treatment apparatus, and, when treatment delivery time is suboptimal, modifies the fluence space optimization solution.
Resumen de: 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.
Resumen de: 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.
Resumen de: 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.
Resumen de: 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.
Resumen de: 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.
Resumen de: 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.
Resumen de: 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.
Resumen de: US20260325224A1
0000 A method and computer programs for guiding an implantable device during a clinical intervention are disclosed. The method comprises a) generating a 3D vasculature model; b) defining a target deployment plan of the device inside the 3D vasculature model; c) obtaining a configuration parameter of the device; d) receiving a live image feed corresponding to a real-time deployment of the device within the 3D vasculature model; e) segmenting the deployed device in the live image feed, and obtaining a point-to-point longitudinal trajectory of the deployed device; f) extracting the same configuration parameter as in step c) from the deployed segmented device; g) determining the trajectory of the deployed segmented device on the generated 3D vasculature model; h) comparing the determined trajectory and configuration parameter of the deployed segmented device with the feasible trajectory and configuration parameter; and i) assessing closeness between the defined target deployment plan and the real-time deployment based on the comparison.
Resumen de: AU2025271814A1
A patient care system for monitoring injections and/or a patient's adherence to a prescribed treatment regimen comprises: an autoinjector for administering a medicament, such as a growth hormone, in particular to a patient, wherein the autoinjector is configured to receive a cartridge, in particular a dual chamber cartridge, with the medicament, wherein a dose of the medicament corresponds to a complete content of the medicament in the cartridge, wherein the cartridge comprises a code which is indicative of the dose, and wherein the autoinjector comprises a code reader for determining the code, wherein the autoinjector is further configured to administer at least approximately the complete content of the medicament in one administration, a computing device, in particular a mobile and/or a handheld computing device, wherein the autoinjector is configured to send the code which is indicative of the dose of the medicament to the computing device via a wireless or wired connection, in particular in response to or prior to the administering of the medicament, wherein the computing device is configured to store the code in conjunction with a time stamp that is either determined by the computing device or sent together with the code by the autoinjector, wherein the time stamp is indicative of the time and/or the date of the administering of the medicament and wherein the computing device is configured to store the code in conjunction with the time stamp on a storage device, which is
Resumen de: AU2025237721A1
A medicinal supply management system manages distribution of medicinal supply. The system may implement a pooling algorithm for pooling studies together, across different countries, with different protocol labeling parameters and/or blinding parameters. The system may allocate unique identifiers for the pooled studies. The system may implement digital display labels on the medicinal product for up-to-date presentation of relevant information to healthcare providers administering the medicinal product. The system may further implement controlled packaging for maintaining proper storage of the medicinal product, e.g., during transport to the treatment site. The controlled packaging may further include sensors for monitoring the internal environment of the controlled packaging, to maintain proper storage of the medicinal product.
Resumen de: US20260331235A1
A patient-specific specimen collection automation system according to an embodiment of the present disclosure includes a management server including specimen information required for respective patients, a tray supply device configured to supply, to a tray, blood collection tubes labeled to correspond to the specimen information, and a tray transport device configured to transport the tray. The tray supply device includes a supply device communication unit configured to communicate with the management server, a blood collection tube supply unit configured to supply the blood collection tubes labeled to correspond to the specimen information, and a tray supply unit configured to classify the labeled blood collection tubes for respective patients into the tray, the tray including identification information. The tray transport device includes a transport device communication unit configured to communicate with the management server, a tray holder configured to receive the tray supplied from the tray supply device, a tray identification unit configured to obtain the identification information of the tray, and an output unit configured to indicate trays matched to respective patients.
Resumen de: US20260324986A1
Presented herein are related to systems and methods of determining likelihood of vascular conditions using acoustic measurements of veins in limbs of subjects. A pressure cuff may be secured about a region of a limb of a subject, and may apply pressure to the region to compress a vein in the limb. A plurality of sensors may be positioned on the region of the limb. Each sensor may acquire a respective acoustic signal in response to the pressure cuff releasing the pressure to the region. A computing system may receive the plurality of acoustic signals from the plurality of sensors. The computing system may generate, according to the plurality of acoustic signals, a plurality of metrics. The computing system may determine, according to the plurality of metrics, a likelihood of a vascular condition in the vein in the limb of the subject.
Resumen de: US20260325718A1
0000 The disclosure relates to an aqueous bioink solution for use in light-based bioprinting applications, comprising: (a) 0.5-95 wt % water-soluble prepolymer; (b) 0.001-5 wt % biocompatible metal acylphosphinate photoinitiator; (c) 0.001-10 wt % biocompatible light absorber; and (d) 5 to 99.5 wt % solvent. The disclosure further relates to a method of using the aqueous bioink solution including living cells and a method of using the aqueous bioink solution without living cells (acellularly).
Resumen de: US20260327455A1
0000 The present invention relates to a method of post-treatment of a 3D-printed silicone article, said method comprising the coating the 3D-printed silicone article with a crosslinkable silicone composition comprising a microfiller. The invention further relates to a crosslinkable silicone composition comprising a microfiller, and its use as post-treatment composition for the post-treatment of a 3D printed silicone article.
Resumen de: CN120056233A
The invention relates to a method, an apparatus and a system for producing dental prostheses by jet printing. The invention provides a method for producing a dental restoration by jet printing, comprising the steps of: jet printing (S101) one or more layers of a dental restoration by means of a ceramic slurry; jet printing (S102) a coloring solution onto the one or more layers; and applying (S103) a fixing solution for fixing the coloring solution.
Resumen de: CN120056234A
The invention relates to a method, an apparatus and a system for producing dental prostheses by jet printing. The invention provides a method for producing a dental restoration by jet printing, comprising the steps of: jet printing (S101) one or more layers of a dental restoration by means of a ceramic slurry; and jet printing (S102) a translucency enhancer and/or an opacity enhancer onto the one or more layers.
Resumen de: US20260325269A1
A system includes an intraoral scanner comprising one or more light projectors, one or more cameras configured to capture intraoral scan data, and a processor configured to process the intraoral scan data. The system further incudes a first computing device configured to receive the intraoral scan data from the intraoral scanner, generate a virtual 3D surface of at least part of the dental site based on the intraoral scan data, generate a plurality of views of the virtual 3D surface, and transmit the plurality of views of the virtual 3D surface to one or more second computing devices. The system further includes the one or more second computing devices, configured to receive the plurality of views of the virtual 3D surface and display the plurality of views of the virtual 3D surface on a display connected to or integrated in the one or more second computing device(s).
Resumen de: US20260331294A1
0000 A method for treating a patient with respiratory illness is described according to one embodiment. The method includes the steps of receiving a set of screening spirometry test data measured by a spirometer, generating a first patient performance score based on the received set of screening spirometry test data, generating one of a first high alert when the first patient performance score crosses a first threshold and a first low alert when the first patient performance score fails to cross the first threshold, receiving a set of at-home physiological test data, generating a second patient performance score based on the received set of at-home physiological test data, generating one of a second high alert when the second patient performance score crosses a second threshold and a second low alert when the second patient performance score fails to cross the second threshold, receiving a set of at-home patient survey data entered by the patient, generating a third patient performance score based on the received set of at-home patient survey data, and generating one of a third high alert when the third patient performance score crosses a third threshold and a third low alert when the third patient performance score fails to cross the third threshold.
Resumen de: US20260325228A1
A needle insertion system includes a console including a processor and non-transitory, computer-readable medium having stored thereon logic that, when executed by the processor, is configured to initiate a target recognition process and a needle guidance process. The target recognition process can be configured to receive user input indicating a desired target by applying a machine learning model to features of candidate targets in ultrasound-imaging data, wherein the desired target is associated with a highest confidence score. The needle guidance process can be configured for guiding insertion of a needle into the desired target by the machine learning model, wherein the machine learning model determines a proximity of a trajectory of the needle to the desired target based on magnetic information about the needle. The system can also include an ultrasound probe configured to provide to the console first electrical signals corresponding to the ultrasound-imaging data.
Resumen de: US20260325267A1
0000 An intraoral scanning device includes a processing unit configured to process intraoral scan data of a patient and provide 2D image data and/or 3D image data; a wireless interface configured to transmit the 2D image data and/or the 3D image data; a battery configured to power at least the processing unit and the wireless interface, and a housing configured to accommodate at least the processing unit, the wireless interface and at least partially the battery. The intraoral scanning device may further include a plurality of LEDs accommodated by the housing. The plurality of LEDs may be configured to emit light through a transparent part of the housing made of a material that is configured emit the light that passes through the material. The emitted light may indicate a status of the battery and/or the wireless interface, and/or indicate a mode of the intraoral scanning device.
Resumen de: US20260330638A1
The present invention is concerned with the acceleration of an MRI examination of the liver by means of a machine learning model. The machine learning model is configured and trained to predict and MRI image of a liver in the hepatobiliary phase after the application of a hepatobiliary contrast agent on the basis of one or more MRI images which were produced at a time in an earlier phase. The present invention relates to a method for training the machine learning model, to a computer-implemented method for predicting the MRI image in the hepatobiliary phase by means of the trained model, and to a computer system and computer program product for carrying out the prediction method.
Resumen de: AU2026242184A1
A medical system useful in the determination of future disease progression in a subject. More specifically the present invention applies machine learning techniques to aid prediction of disease pathology and clinical outcomes in subjects presenting with symptoms of cognitive decline and to expedite clinical development of novel therapeutics. ep e p
Resumen de: US20260325081A1
An example system includes a memory; and processing circuitry coupled to the memory and configured to: receive electrocardiogram (ECG) data of a patient, wherein the ECG data is generated by one or more sensing devices of the patient based on physiological signals of the patient sensed by the one or more sensing devices; obtain a plurality of heartbeat intervals from the ECG data; sample a plurality of points for each respective heartbeat interval of the plurality of intervals; determine a slow-moving average for each sample point parameter of respective heartbeat intervals during a. first period of time; determine a fast-moving average for each sample point parameter of respective heartbeat intervals during a second period of time, determine a difference between the slow-moving average and the fast-moving average for each sample point parameter; and determine a risk level of a health event for the patient based on the determined differences.
Nº publicación: US20260325481A1 22/10/2026
Solicitante:
ANAVEX LIFE SCIENCES CORP [US]
Anavex Life Sciences Corp.
Resumen de: US20260325481A1
The present disclosure provides methods for individualized selection of, and monitoring of treatment using a neurodegenerative therapeutic agent such as Sigma-1 receptor agonist therapy for a subject, based on changes in gene expression pre- and post-treatment. The present disclosure also provides methods to evaluate current status or risk of a subject in developing neurodegenerative disorders. Also provided are kits for practicing the methods.