The present invention provides compositions and methods for imaging tumor resections.

Disclosed are systems and methods of lymphatic specimen tracking, visualization, and lymph node drainage pathway determination. An exemplary method includes receiving computed tomographic (CT) image data corresponding to a CT scan, generating a three-dimensional (3D) model of at least a portion of a patient's body based on the CT image data, identifying one or more lymph nodes in the 3D model, performing a registration of the 3D model with one or more physical locations in the patient's body, determining an expected lymph node drainage pathway away from a region of interest through one or more lymph nodes, and displaying the 3D model and the expected lymph node drainage pathway.

A device and method of using the device to detect the presence and composition of clots and other target objects in a circulatory vessel of a living subject is described. In particular, devices and methods of detecting the presence and composition of clots and other target objects in a circulatory vessel of a living subject using in vivo photoacoustic flow cytometry techniques is described.

A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

A wearable device includes a housing with a window and an electronic module supported by the housing. The electronic module includes a photoplethysmography sensor, a motion sensor, and a signal processor that processes signals from the motion sensor and signals from the photoplethysmography sensor. The signal processor is configured to remove frequency bands from the photoplethysmography sensor signals that are outside of a range of interest using a band-pass filter to produce pre-conditioned signals, and to further process the pre-conditioned signals using the motion sensor signals to reduce motion artifacts from footsteps during subject running. The device includes non-air light transmissive material in optical communication with the photoplethysmography sensor and the window that serves as a light guide for the photoplethysmography sensor. The window optically exposes the photoplethysmography sensor to a body of a subject wearing the device via the non-air light transmissive material.

One aspect of the invention relates to a method for intraoperative detection of parathyroid gland viability in a surgery, comprising obtaining speckle contrast images of a parathyroid gland of a patent; and displaying the speckle contrast images of the parathyroid gland in real-time.

A device of an embodiment includes: an optical mechanism; a control computation unit that controls driving of the optical mechanism, acquires a tomographic image of skin by processing an optical interference signal from an optical system, and calculates a network of blood vessels on the basis of the tomographic image; and a display device that displays an image of the network of blood vessels. The control computation unit sets a reference profile obtained by function approximation of an intensity profile in a depth direction of the acquired tomographic image, calculates a difference between an intensity value on the reference profile and an actual intensity value as an outlier V, the intensity values being those in the depth direction in the tomographic image, determines, as blood vessels or blood vessel candidates, coordinates with the outliers V within a predetermined blood vessel determination range, and calculates the network of blood vessels.

Disclosed are systems and methods of lymphatic specimen tracking, visualization, and lymph node drainage pathway determination. An exemplary method includes receiving computed tomographic (CT) image data corresponding to a CT scan, generating a three-dimensional (3D) model of at least a portion of a patient's body based on the CT image data, identifying one or more lymph nodes in the 3D model, performing a registration of the 3D model with one or more physical locations in the patient's body, determining an expected lymph node drainage pathway away from a region of interest through one or more lymph nodes, and displaying the 3D model and the expected lymph node drainage pathway.