This invention relates to the methods for the identification and isolation of cancer stem cells from cultured cancer cell lines. Cell line-derived cancer stem cells isolated using the present methods may be useful, for example, in assays to screen compounds for anti-cancer stem cell activity and in target discovery methods for identifying novel expressed genes and druggable targets. The invention also relates to the screening of compounds for activity against cell line-derived cancer stem cells.

A system and method for installing devices on a user can include an indicator set comprising a marker to place markings on the user, and a set of adhesive pads to be placed on the user. A knee pivot anchor can be attached to the user. A template having a proximal portion can be pivotally mounted to the knee pivot anchor. A distal portion of the template can be positioned at different locations on the user. The template also can have an aperture. A set of pods can be interchangeably located in the aperture of the template. Each pod can be secured to respective locations on the user. The template and the knee pivot anchor can be removed from the user with the pods remaining in place on the user to support a goniometer.

A sensing device including a sensor, a triggering mechanism is provided. The sensing device is attachable to a covering positioned in contact with a body such that the triggering mechanism extends between first and second segments of the body. Movement of at least one of the first and second segments activates the triggering mechanism to provide an input to the sensor, actuating the sensor to generate an output defining at least one measurement of the movement. The measurement may be one or more of rotation, translation, velocity, acceleration, and joint angle. An intermediate mechanism may be interposed between the triggering mechanism and the sensor. The sensing device may include a means to process or record measurements corresponding to movement. A system and method of measuring the movement is also provided.

An image acquisition unit configured to acquire an image representing a three-dimensional shape of a surface of a human body, a spinal-column arrangement estimation-unit configured to estimate spinal-column arrangement of the human body using accumulated data, and an angle calculation unit configured to calculate at least one of a Cobb angle and a rotation angle from the estimated spinal-column arrangement are included.

A system for detecting human motion and body balance includes a flexible substrate configured to be positioned in a shoe of a user, a sensor array comprising one or more force sensors positioned on the flexible substrate, and a controller communicably coupled to the sensor array. The controller is configured to receive force data from the sensor array, determine biomechanical characteristics for the user based on the force data, the biomechanical characteristics including at least one of a center-of-pressure, a center-of-mass, or lower extremity angles for the user, and provide an indication of the biomechanical characteristics to the user.

A system and method for human motion detection and tracking are disclosed. In one embodiment, a smart device having an optical sensing instrument monitors a stage. Memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures an image frame from the optical sensing instrument. The image frame is then converted into a designated image frame format, which is provided to a pose estimator. A two-dimensional dataset is received from the pose estimator. The system then converts, using inverse kinematics, the two-dimensional dataset into a three-dimensional dataset, which includes time-independent static joint positions, and then calculates, using the three-dimensional dataset, the position of each of the respective plurality of body parts in the image frame.

A system and method for eye tracking includes receiving an input image including at least a portion of a person's retina, finding a spatial transformation between the input image and a reference image, the reference image including at least a portion of the person's retina and calculating a change in orientation of an eye of the person corresponding to the spatial transformation. A processor may calculate, from the change in orientation an orientation of the person's eye associated with the input image, a direction of gaze associated with the input image, a gaze target associated with the input image and/or a ray of gaze associated with the input image.

This invention discloses a semi-active rigid-flexible coupling exoskeleton based on a single-loop bidirectional damping regulator and relates to a power assisting mechanism in the field of robots, the exoskeleton including a waist assembly, a leg assembly, and a hydraulic damping regulator; the hydraulic damping regulator includes a cylinder body, a titanium alloy sleeve, a cylinder head, a piston, an extension assisting spring, an oil injection port plug, a staggered channel-type valve body, a valve body sealing seat, a valve body-end bevel gear, an angle sensor, a motor fixing seat, a DC servo motor, a coupler, and a motor-end bevel gear. According to the invention, two modes of power assistance or damping regulation, i.e., a heavy-object-carrying mode and a walking-with-load mode, can be enabled; the heavy-object-carrying mode supports carrying from a higher to a lower position and the other way around, characterized by good applicability; moreover, the knee joint can be assisted when naturally bending in a stooping state; a semi-active torque adjusting system is formed with a hydraulic damper and a spring, with the magnitude of assistance and damping force adjustable; also, this invention features a light weight and good man-machine coupling.

A method can include receiving (1) images of at least one subject and (2) at least one total mass value for the at least one subject. The method can further include executing a first machine learning model to identify joints of the at least one subject. The method can further include executing a second machine learning model to determine limbs of the at least one subject based on the joints and the images. The method can further include generating three-dimensional (3D) representations of a skeleton based on the joints and the limbs. The method can further include determining a torque value for each limb, based on at least one of a mass value and a linear acceleration value, or a torque inertia and an angular acceleration value. The method can further include generating a risk assessment report based on at least one torque value being above a predetermined threshold.

A system and method may be used to evaluate soft tissue. A knee arthroplasty soft tissue evaluation may use an adjustable spacer, such as varying sized physical spacers or an inflatable bladder, along with a sensor to measure force, pressure, gap distance, or the like during a range of motion test. A method may include maintaining an equal pressure or gap distance for a medial component and a lateral component of an adjustable spacer during a range of motion test. Information, including, for example a maximum or minimum gap distance or pressure may be determined during the range of motion test. The determined information may be output for display or used to update a surgical plan.