Disclosed embodiments provide a way to perform body measurements. A garment has a sensor module attached. The garment encompasses a body portion. The sensor module is stretchable and provides electrical data. The electrical data is based on an amount that the sensor module is stretched. The electrical data from the sensor module is collected. The collected electrical data is analyzed to determine a measurement for the body portion. A size for the body portion is calculated, based on the measurement. A second sensor module is attached to the garment. Electrical data from the second sensor is also collected and analyzed. A size for the body portion is further calculated based on the electrical data from the sensor module and the second sensor module. The sensor module and the second sensor module transmit data to a computing device using distinct, wireless transmitters.

There is a need for a technique to determine a presence or absence of morbidity of a lifestyle-related disease and a possibility of future morbidity (risk of morbidity) in a non-invasive manner for a subject. The present disclosure provides a blood abnormality prediction device including, a prediction unit configured to predict a presence or absence of a blood abnormality in a subject on the basis of the information of the image that captures a crown portion of a capillary, wherein the prediction unit is configured to measure one or more selected from the group consisting of an entire width, an apex width, a loop diameter, a venous limb width, and an arterial limb width of the crown portion of the capillary on the basis of the information of the image, to predict the presence or absence of the blood abnormality in the subject from a result of the measurement.

Systems and methods of valve quantification are disclosed. In one embodiment, a method of mitral valve quantification is provided. The method includes generating a 3-D heart model, defining a 3-D mitral valve annulus, fitting a plane through the 3-D mitral valve annulus, measuring the distance between at least two papillary muscle heads, defining an average diameter of at least one cross section around the micro valve annulus, and determining a size of an implant to be implanted.

The present invention relates to a device, system and method for less obtrusively determining a tissue characteristic of a subject, the device comprises a first control unit (11) configured to control an electromechanical transducer (31) by a first control signal (21) to transfer mechanical waves varying in a frequency range or with varying frequency content to an exposed tissue area of the subject; a second control unit (12) configured to control an electromagnetic radiation emitter (32) by a second control signal (22) to emit electromagnetic radiation towards the exposed tissue area of the subject; a radiation signal input (13) configured to obtain a radiation signal (23) indicative of electromagnetic radiation reflected from the exposed tissue area of the subject; and a processor (14) configured to determine a tissue characteristic signal (24) indicative of a tissue characteristic of the exposed tissue area of the subject derived from a frequency response or a frequency transfer function obtained from the obtained radiation signal in said frequency range or for said varying frequency content.

Provided is a therapeutic agent targeting and fixation medical device that precisely targets a therapeutic agent including a magnetic substance by using an optimized array of magnets in consideration of an affected area of a patient.

Described herein are systems and methods of processing immobilization molds for application of treatment, A computing system may generate a three-dimensional mold model of immobilization mold within with a subject is to be positioned for application of a treatment. The computing system may subtract a three-dimensional scan of at least a portion of the subject from the three-dimensional mold model to define an opening therein. The computing system may remove, from the three-dimensional mold model, a first portion to define an imprint in the opening from a first axis along which the subject is to enter. The computing system may remove, from a second portion of the three-dimensional mold model remaining with the removal of the first portion, inward protrusions into the imprint of relative to the second axis intersecting the first axis.

In one embodiment, a health-monitoring system may access a waist-hip measurement of a user. The system may determine one or more stress-related parameters of the user using one or more computing devices. The system may determine one or more correlations between the waist-hip measurement and the one or more stress-related parameters of the user. The system may provide feedback to the user based on one or more of the one or more stress-related parameters or the determined correlations between the waist-hip measurement and the one or more stress-related parameters.

A setting device comprising at least one processor, wherein the processor is configured to: acquire imaging part information indicating an imaging part of a subject whose radiographic image is captured by radiation emitted from a radiation emitting device; acquire body thickness information indicating a body thickness of the subject in a direction in which the radiation is transmitted; acquire condition information indicating whether a tube voltage value and a mAs value are each set to variable or fixed; and derive a set value of the tube voltage and a set value of the mAs value of the radiation emitting device for emitting the radiation such that a dose of the radiation transmitted through the imaging part is the same as a dose at a reference body thickness, on the basis of the imaging part information, the body thickness information, and the condition information.

For training for and performance of patient modeling from surface data in a medical system, a progressive multi-task model is used. Different tasks for scanning are provided, such as landmark estimation and patient pose estimation. One or more features learned for one task are used as fixed or constant features in the other task. This progressive approach based on shared features increases efficiency while avoiding reductions in accuracy for any given task.

Some methods of analyzing one or more brain lesions of a patient comprise, for each of the lesion(s), calculating one or more lesion characteristics from a first 3-dimensional (3D) representation of the lesion obtained from data taken at a first time and a second 3D representation of the lesion obtained from data taken at a second time that is after the first time. The characteristic(s) can include a change, form the first time to the second time, in the lesion's volume and/or surface area, the lesion's displacement from the first time to the second time, and/or the lesion's theoretical radius ratio at each of the first and second times. Some methods comprise characterizing whether the patient has multiple sclerosis and/or the progression of multiple sclerosis in the patient based at least in part on the calculation of the lesion characteristic(s) of each of the lesion(s).