The invention features methods and devices useful for stimulating brain tissue in a subject via electrodes within cranial bone. These methods and devices may be utilized for the detection, prevention, and/or treatment of neurological disorders via electric stimulation. Additionally, the methods and devices disclosed herein may be useful for the treatment, inhibition, and/or arrestment of the growth of tumors.

Systems and methods for measuring short wave infrared fluorescence and autofluorescent signals are disclosed. In some embodiments, for example, a method may include exposing a portion of tissue that does not include a fluorescent probe to an excitation source of the tissue, wherein at least a portion of the tissue has an autofluorescence spectrum which includes wavelengths greater than 900 nm, and imaging the tissue with a detector that is sensitive to electromagnetic radiation with wavelengths greater than or equal to 900 nm. In certain other embodiments, a system comprises a fluorescent probe including a fluorescent component attached to a carrier, an excitation source, and a detector that detects a tail portion of the fluorescence of the fluorescent component. Methods associated with such a system are also disclosed.

Systems and methods for monitoring patients with multiple chronic diseases are described. A system may include a health status monitor that receives diagnostic data including physiological signals sensed from a patient. The system may produce at least a first risk indication of the patient developing a first disease and a second risk indication of the patient developing a different second disease. The system may detect the first and second diseases from the physiological signals, and generate a composite health status indicator using the detections of the first and second diseases and the first and second risk indications. An alert of worsening health status may be generated if the composite detection score exceeds an alert threshold.

Systems and methods are provided for identifying a suitable surgical location and/or trajectory for proceeding with a surgical procedure based on local polarization-sensitive optical coherence tomography imaging (PS-OCT). PS-OCT images are obtained of a tissue region and are processed to provide a spatial map of anisotropic structure within the tissue region. The anisotropic structure is processed to determine one or more suitable surgical locations and/or trajectories for avoiding or reducing damage to local anisotropic tissue structure identified within the tissue region. The spatial map of the anisotropic structure is registered with pre-operative volumetric image data identifying anisotropic tissue structure within a second tissue region that is larger than the tissue region imaged by PS-OCT.

Systems and methods are provided for identifying a suitable surgical location and/or trajectory for proceeding with a surgical procedure based on local polarization-sensitive optical coherence tomography imaging (PS-OCT). PS-OCT images are obtained of a tissue region and are processed to provide a spatial map of anisotropic structure within the tissue region. The anisotropic structure is processed to determine one or more suitable surgical locations and/or trajectories for avoiding or reducing damage to local anisotropic tissue structure identified within the tissue region. The spatial map of the anisotropic structure is registered with pre-operative volumetric image data identifying anisotropic tissue structure within a second tissue region that is larger than the tissue region imaged by PS-OCT.

The present disclosure relates to noninvasive methods for detecting liver fibrosis. Disclosed herein are noninvasive liver fibrosis detection methods that use Doppler Ultrasound devices and a physics-based machine learning method. Further disclosed herein are methods for detecting liver fibrosis in a subject by detecting and measuring the presence of a shift in the frequency of blood flow in the hepatic vein as compared to the frequency of blood flow in the portal vein.

A surgical weight loss procedure to reduce stomach volume is provided. The procedure involves gathering together a quantity of stomach tissue and securing this tissue together in a gathered position, which can reduce the volume of the stomach. This reduced stomach volume allows a patient to feel satiated with a much smaller amount of food, leading to weight loss.

A spirometry system includes an imaging device configured to capture upper body movement images of a subject during inhalation and exhalation of the subject. The system further includes at least one controller configured to receive the captured images from the imaging device and, based upon the received images, determine at least one of an image-based spirometry flow-volume curve for the subject or an image-based spirometry parameter for the subject.

A method for machine learning based artifact rejection is provided. The method may include applying a machine learning model to identify artefactual independent components in transcranial magnetic stimulation electroencephalogram data collected during a transcranial magnetic stimulation procedure. Clean transcranial magnetic stimulation electroencephalogram data is generated by removing, from the transcranial magnetic stimulation electroencephalogram data, the artefactual independent components. Real-time adjustments to parameters of the transcranial magnetic stimulation procedure may be performed based on the clean transcranial magnetic stimulation electroencephalogram data. Related systems and articles of manufacture, including computer program products, are also provided.

The disclosure provides a measurement circuit. The measurement circuit includes a control engine. An excitation source is coupled to the control engine. A first set of electrodes and a second set of electrodes are coupled to the excitation source and receive current from the excitation source. The control engine operates the excitation source in a first mode and a second mode. The control engine, in the first mode, measures a parasitic impedance associated with the first and the second set of electrodes, and the control engine, in the second mode, measures an impedance of the first and the second set of electrodes and of an external object.