Absstract of: US20260335191A1
Print head assembly for an additive manufacturing device for forming a drug delivery device, the print head assembly comprising:—a print head, comprising a print head housing with a receptacle for receiving at least part of a cartridge therein; and—a cartridge having an internal volume for holding a volume of drug delivery material; wherein the cartridge is provided with a level indicator providing a level signal indicative of a level of drug delivery material inside the internal volume, and wherein the print head is provided with a level signal sensor arranged for receiving the level signal of the level indicator of the cartridge.
Absstract of: US20260334872A1
0000 An intelligent control device provides an option to select a medical procedure and receives a selection of the medical procedure. The intelligent control device also operates an infusion device to administer a medication at a first rate. Further, the intelligent control device identifies a set of events associated with the selected medical procedure, including a procedural event expected to cause a physiological change for which an administration of the medication is prescribed. Moreover, the intelligent control device determines that the procedural event is about to occur based on the infusion information, the physiological information, or the selected medical procedure. After determining that the procedural event is about to occur, and before the procedural event occurs, the intelligent control device prompts an operator to cause an adjustment of the infusion device to administer the medication at a second rate; or the intelligent control device causes the adjustment of the infusion device.
Absstract of: US20260334811A1
Provided herein is a method for evaluating infant suckling behavior, comprising: collecting suckling data from an infant using a vacuum measurement device, transmitting the collected suckling data to a processor, processing the collected suckling data by the processor using a pre-trained Machine Learning (ML) algorithm to identify one or more abnormalities in the infant's suckling behavior, wherein the ML algorithm has been trained on a set of training data comprising a plurality of dimensions associated with the training data, and wherein the identified one or more abnormalities are corresponding to one or more of the plurality of dimensions.
Absstract of: US20260335503A1
Three-dimensional (3D) bioprinting has tremendous potential to aid in the creation of engineered tissues and organs that are so desperately in need. In this disclosure, a new type of bio-ink for 3D bioprinting made of sheared slurries of biomaterial hydrogel, in particular alginate hydrogel having micro-capillary structure (Capgel), in particular Capgel having increased stackability and thus self-assembly capability through the formation of a polyelectrolyte complex “skin” on the outer surfaces of the Capgel block with poly-L-lysine (PLL) coating prior to printing needle extrusion is provided as injectable biomaterial tissue scaffolding system, so that such stackable structure as weave patterns and cylindrical structures can be successfully printed with the new Capgel bio-ink. Further, the micro-capillary structure inherent in the original Capgel blocks is retained in the printed bio-ink making up the larger 3D structures and allows for cell culture in it.
Absstract of: US20260335013A1
0000 A tool (538) is advanced along an insertion path (542) into a skeletal portion within a body of a subject. 3D image data of the skeletal portion is acquired using a 3D imaging device. The tool is positioned at a location along the insertion path and a 2D x-ray of the at least a portion of the tool and the skeletal portion is acquired using a 2D x-ray imaging device. Using at least one computer processor (22), the single 2D x-ray is registered to the 3D image data. The computer processor reconstructs a 3D location of the tool with respect to the skeletal portion based on the at least a portion of the tool in the single 2D x-ray that is registered to the 3D image data, and generates an output, at least partially in response thereto. Other applications are also described.
Absstract of: WO2026226690A1
A system for transseptal puncture site selection, comprising a processor and a memory communicatively connected to the processor, the processor configured to receive a 3D organ model pertaining to an organ of a subject, receive a treatment plan pertaining to the subject, generate treatment guidance as a function of the treatment plan, wherein generating the treatment guidance comprises determining an optimized access route of the treatment guidance to the area of interest, wherein the optimized access route is optimized for the procedure type, and locating a puncture site of the treatment guidance as a function of the treatment plan, wherein locating the puncture site comprises determining the puncture site using a puncture machine-learning model, wherein the puncture machine-learning model is configured to receive the treatment plan as input and output a puncture site, and generate an overlay for the 3D organ model.
Absstract of: US20260335510A1
The Cartilage Restoration System is an injectable hydrogel platform designed to permanently restore, reinforce, and replace fibrocartilaginous and cartilaginous tissues, including intervertebral discs, knee menisci, labra, and articular cartilage, for human and veterinary orthopedic applications, with potential non-orthopedic uses. The system comprises a biocompatible hydrogel precursor with synthetic or natural polymers, natural additives, crosslinking agents activated by thermal, chemical, photochemical, enzymatic, or ionic triggers, and reinforcing agents. Delivered minimally invasively via dual-chamber syringe, catheter, robotic-assisted system, or 3D-printed applicator, the hydrogel polymerizes in situ to form a non-degradable implant with a compressive strength of at least 3-5 MPa, three times that of native tissue. The implant resists degradation, ensures fatigue resistance, and integrates with native tissue through adhesive and bioactive components, sealing defects and supporting lifelong functionality. Modular configurations address disc regeneration, spinal fusion, cartilage repair, and osteochondral defects, with species-specific formulations for veterinary use.
Absstract of: US20260334912A1
An apparatus and method for controlling a robotic framework to perform imaging modalities. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a target region, receive, from a localization system, the at least a position signal of the catheter, generate, using at least a reinforcement-learning model, a movement vector as a function of the at least a position signal, control, using the at least a processor, the robotic framework, as a function of the movement vector, and generate, as a function of the plurality of ultrasonic signals, a three-dimensional (3D) model of the target region.
Absstract of: US20260341496A1
0000 There is provided a system, a patient support apparatus, and a location tag assembly for locating mobile tags in real-time in a medical facility using a plurality of wireless signal modalities where the tags could be worn by patients or attached to equipment. The location tag assembly can be secured to a patient support apparatus which could be located precisely with respect to a wireless locating node. The wireless locating nodes may be used to locate a first type of mobile tag. The location tag assembly may be used to locate a second type of mobile tag. The location information may be transmitted to a server to precisely locate patient support apparatuses, medical equipment, patients and staff in real-time.
Absstract of: WO2026226845A1
In some embodiments, a method for detecting an abnormality in a conduction system of a patient includes receiving one or more cardiac activity signals associated with a heart of the patient, analyzing the one or more cardiac activity signals with a machine learning model to predict presence of a conduction system abnormality in the patient, and generating instructions to display an indication of the presence of the conduction system abnormality. For example, rather than a full 12-lead ECG set, one or two ECG leads and/or one or two EGM sensing vectors can be used, in combination with a machine learning algorithm, to classify the ECG signals indicative of a conduction system abnormality or not. Such diagnostic functionality can, for example, be advantageous in determining whether the patient needs a device upgrade or therapy adjustment.
Absstract of: WO2026226625A1
Provided herein is a computer-implemented method for predicting risks of vertebrae fracture in a patient. A computer-implemented method may include obtaining image data of a patient. A computer-implemented method may include identifying one or more vertebrae of the image data. A computer-implemented method may include analyzing, by a machine learning model, the one or more vertebrae to predict a future risk of vertebrae fracture of the one or more vertebrae for the patient, wherein the machine learning model is trained on a cohort of a population comprising at least one radiation naïve patient and wherein the analysis comprises processing features of the one or more images, the features comprising radiomic features, wherein the radiomic features correlate to a structural integrity of one or more segments of the one or more vertebrae.
Absstract of: US20260335546A1
Certain aspects of the disclosure provide infusion systems and methods for generating an infusion plan for a set of infusion devices. For example, the method may include receiving an infusion order for a patient, determining the infusion order exceeds a bolus threshold, and identifying a set of infusion devices associated with the patient. The method may further include generating an infusion plan for the set of infusion devices based on the infusion order and adjusting one or more operational parameters of the set of infusion devices according to the infusion plan.
Absstract of: US20260334885A1
An apparatus and method for subject monitoring and diagnosing with non-invasive measures are disclosed. The apparatus includes a memory contains instructions configuring at least a processor to receive non-invasive measurement data associated with a subject, wherein the non-invasive measurement data comprises electrocardiogram (ECG) data received from an ECG machine and echocardiogram (echo) data received from an echocardiogram device, and extract at least an ECG feature of the ECG data and at least an echo feature of the echo data, generate a synthetic computed tomography (CT) image of the subject as a function of the fused non-invasive measurement datum, wherein the synthetic CT image is generated without using CT imaging data or magnetic resonance imaging (MRI) imaging data of the subject as an input, and transmit the synthetic CT image to a remote device.
Absstract of: WO2026226504A1
Described herein are methods of administering small molecules to reduce the proliferation or expansion of cancer educated or tumor educated immune cells. The small molecules may be administered alone or in combination and include, but are not limited to, gilteritinib, abemaciclib, crizotinib, brigatinib, dasatinib, SGI-7079, LDN193189, X-376, bortezomib, fedratinib, sorafenib, bosutinib, enasidenib, entrectinib, dubermatinib, vorinostat, STAT3-IN-7, and STAT3-IN-12.
Absstract of: WO2026224675A1
Clinical laboratories face a growing mismatch between rising cytological smear volumes and limited specialist capacity. Methods and systems are disclosed for managing the human review workload associated with cytological smear analysis. An automatic cell classifier determines, from images of cytological smears obtained from multiple patients, hematological cell or cell type quantification metrics (HCQMs) for multiple abnormal cell types. The metrics are compared against respective predetermined thresholds, and samples are selectively presented or not presented as part of a default human review workflow based on the resulting pattern of threshold crossings, so that samples sharing the same count of crossings can be routed differently according to which abnormal cell types are involved. Performance of the automatic cell classifier may be monitored over time by comparison with human review results, and one or more thresholds are increased when performance improves beyond a predetermined level, reducing review volume while maintaining analysis quality.
Absstract of: WO2026222918A1
The present invention relates to the field of surgical plan effect prediction, and in particular, to a method and apparatus for simulating a rib contour and predicting a rib orthopedic surgery result. A method for predicting a thoracic surgery result is characterized by comprising the following steps: constructing or simulating a rib contour to obtain a first contour line; on the basis of a segmentation point on the first contour line, segmenting the first contour line into a first line segment and a second line segment; the first line segment and the second line segment respectively rotating around ends thereof away from the segmentation point, the first line segment and the second line segment intersecting to form an intersection point, and the end of the first line segment away from the segmentation point to the intersection point, and the intersection point to the end of the second line segment away from the segmentation point, collectively forming a second contour line; and on the basis of the second contour line as a postoperative rib contour, determining a postoperative effect prediction result, wherein the positions of the intersection point on the first line segment and the second line segment are used as two cutting points for rib cutting in the thoracic surgery, and the rotation angles of the first line segment and the second line segment are used as the angles at which two segments of ribs need to be rotated in the thoracic surgery. The present invention further c
Absstract of: JP2026173765A
0001 【課題】効率的に目標データを生成できる目標データ生成方法、情報処理装置、プログラム及び頭蓋形状矯正ヘルメットの製造方法を提供すること。 【解決手段】目標データ生成方法は、対象者4の頭蓋形状を矯正するための治療目標となる頭部の3次元形状を示す目標データを生成する目標データ生成方法であって、対象者4の頭部41の3次元形状を示す形状データを取得する形状データ取得工程と、取得した形状データとその形状データを左右反転させた反転形状データとを重ね合わせた合成データを生成する合成データ生成工程と、合成データに基づいて、目標データを生成する生成工程と、を含む。 【選択図】図10
Absstract of: JP2026173631A
0001 【課題】各種の生体情報が計測できないために未知である将来の時点での運動耐容能基礎数値を予測する運動耐容能予測方法、運動耐容能予測装置及びプログラムを提供する。 【解決手段】運動耐容能予測方法は、対象者に関する対象者情報を取得し、対象者について予測する将来の運動耐容能の予測条件を取得し、対象者以外の対象者情報、および、対象者以外の運動耐容能の時系列情報に基づいて生成される予測モデルを蓄積し、取得した対象者に関する対象者情報と、取得した予測条件と、蓄積された予測モデルとに基づいて、対象者の将来の運動耐容能を予測し、予測した将来の運動耐容能を出力する。 【選択図】図2
Absstract of: US20260335096A1
A snap-off hammertoe device is disclosed, comprising a body component engaged with a shaft extension. The body component comprises a first end which engages the shaft extension and a second end with a penetrating tip. The shaft extension is a snap-off barrel component which is used to insert the hammertoe device and is broken off by means of torsion or bending torque after the body component is inserted. The snap-off barrel component or shaft extension and the body are both cannulated, such that a guidewire can be inserted. Further, the snap-off barrel component or shaft extension and the body are additively manufactured and grown as a single part.
Absstract of: WO2026224669A1
A device (e.g., a micromechanical resonator) can include an elongated housing having a first end, a second end, and a sidewall extending from the first end to the second end. A longitudinal opening can extend through the sidewall and extend from an axial center at the first end to the second end. The device can include a filament with a first end of the filament attached to the first end at the axial center. The device can include a first magnetic object with a second end of the filament attached to the first magnetic object. The device can include a second magnetic object and being spaced apart from the first magnet. The filament is configured to allow the first magnetic object to oscillate about a longitudinal axis of the elongated housing relative to the second magnetic object in response to a magnetic or electromagnetic field.
Absstract of: US20260341456A1
A medication delivery system, including a wearable device configured to automatically deliver medication based on food order information received from a user computing device. The medication is delivered via a pump, and the medication may be insulin. The food order information includes timing information and/or information about the food ordered necessary to change a medication delivery. A controller determines a medication adjustment based on an estimated physiological response to the food order information. A delivery pump automatically delivers the medication, e.g., an insulin bolus, prior to or in anticipation of food consumption.
Absstract of: WO2026224693A1
The present disclosure relates to a composition, a method for preparing the composition, and a system for implementing the composition for craniomaxillofacial and orthopaedic reconstruction. The composition comprises silk fibroin microfibres; a polymer matrix including polycaprolactone (PCL), and poly(lactide-co-glycolide) (PLGA) or poly(L- lactide-co-D, L-lactide) (PLDLA); a calcium phosphate ceramic phase comprising hydroxyapatite (HA), tricalcium phosphate (TCP), biphasic calcium phosphate (BCP), borate glass, bioactive glass; and a bioactive agent. The method for preparing the composition comprises the steps of raw silk processing, preparation of the composite filament, 3D printing and injection moulding of composite filament to obtain bone scaffolds, screws and plates. The system comprises a material processing assembly, a filament extrusion unit, a 3D printing apparatus, a moulding apparatus and a control unit. The said composition is intended for fabrication into craniomaxillofacial reconstruction plates, resorbable screws, interference screws, meshes, grafts, segmental defect scaffolds, and orthopaedic load-sharing implants.
Absstract of: US20260335016A1
A system and method for generating a patient-specific implant is described herein. The system includes a processor configured to receive, from an imaging device, patient-specific image data of a patient's joint; create a 3D model of the patient's joint based on the received patient-specific image data; obtain normative values of joint parameters for a joint type that matches the joint of the received patient-specific image data; modify the 3D model of the patient's joint based on the normative values of joint parameters for said joint type to create a normalized 3D model of the patient's joint; and modify a 3D model of a joint implant based on the normalized 3D model of the patient's joint.
Absstract of: WO2026226928A2
Systems and methods for sweep trajectory simulation and sweep trajectory guidance are disclosed. One system includes a processor and a memory containing instructions that configure the processor to receive 3D imaging data, generate ultrasound simulation data, and create 3D models. The system trains a sweep trajectory simulation model using reinforcement learning, with the model being trained on the 3D imaging data, probe position data, and 3D models. The sweep trajectory simulation model is configured to output a time-step vector related to the movement of a catheter, enabling simulation of catheter movement trajectories.
Nº publicación: US20260341516A1 29/10/2026
Applicant:
OURA HEALTH OY [FI]
Oura Health Oy
Absstract of: US20260341516A1
Methods, systems, and devices for biofeedback are described. A user device may acquire physiological data associated with a user from a wearable device. The user device may select a feedback response that may include one or more of audio, haptic, or visible light feedback. The user device may determine parameters for the feedback response. The parameters may include one or more of a magnitude, a duration, or a frequency, associated with one or more of the audio, haptic, or visible light feedback. The user device or the wearable device may output the feedback response indicative for regulating the physiological data associated with the user.