Methods, systems, and apparatus for assessing a state of an epilepsy disease or a comorbidity thereof are provided. The methods comprise receiving at least one autonomic index, neurologic index, stress marker index, psychiatric index, endocrine index, adverse effect of therapy index, physical fitness index, or quality of life index of a patient; comparing the at least one index to at least one reference value; and assessing a state of an epilepsy disease or a body system of the patient based on the comparison. A computer readable program storage device encoded with instructions that, when executed by a computer, perform the method described above is also provided. A medical device system capable of implementing the method described above is also provided.

This disclosure describes devices, systems, and methods related to therapy devices that are operable in multiple operating modes. An exemplary therapy device is configured to be coupled to a patient and includes a stimulation generator and a controller coupled to the stimulation generator. The controller is configured to transition the stimulation generator from operating in a first operating mode to operating in a second operating mode responsive to determining activity of the patient.

Disclosed in the present disclosure is a method, system and apparatus for prediction, estimation and prevention of occurrence of agitation episode in a subject predisposed to agitation. The method comprises receiving, from a first monitoring device attached to a subject, physiological data of sympathetic nervous system activity in the subject and activity data of the subject; receiving, from a computing device, a plurality of indications associated with a plurality of agitation episodes of the subject; analyzing, using at least one machine learning model, the physiological data, the activity data, and the plurality of indications to determine a probability of an occurrence of an agitation episode of the subject; and sending a signal to a second monitoring device to notify the second monitoring device of the probability of the occurrence of the agitation episode of the subject such that treatment can be provided to the subject to decrease sympathetic nervous system activity in the subject.

A wearable treatment and analysis module is provided. The module is positioned on or near a body surface region of interest. The module provides remote access to sensor data, treatment administration, and/or other health care regimens via a network connection with a user device and/or management system.

To automatically model oncology treatment severity levels for a particular patient, a plurality of independently generated and potentially inconsistent observation data records are received for a patient. A condition-specific plurality of observation data records each having a common cancer type identifier are selected, and those condition-specific observation records are filtered to potentially eliminate one or more observation data records failing to satisfy one or more preliminary filter criteria. A specific pre-processing process for the remaining observation data records is executed to generate one or more output data records having at least one shared identifier, and the output data records are provided as model input to a machine-learning based severity model to generate a severity score for the patient.

A system for monitoring and measuring itch of a patient includes a wearable device including an actigraph sensor; and a controller electrically connected to the wearable device and including a processor and a memory. The wearable device is configured to measure, via the actigraph sensor, a movement of the patient; and send data indicative of the measured movement of the patient to the controller. The controller is configured to receive, via the processor, the data indicative of the measured movement; and determine, via the processor, a scratching movement of the patient based on the data indicative of the measured movement.

Device and methods for detection and classification of pathogens have an imaging module, an image processing module, and a display module. The imaging module has a plurality of light sources to expose a sample to excitation radiation at various wavelengths. A detector in the imaging module synchronously captures time-resolved fluorescence emission spectra, time-resolved reflectance, and transmittance spectra at multiple spectral bands from the sample. The image processing module resolves the spectra and compares obtained spectral parameters to set of standard parameters provided in a library database to determine a match to detect and classify pathogens.

The present disclosure provides methods for diagnosing and determining the disease progression of neurodegenerative disorders in patients using neurophysiological biomarkers.

A method of determining if a subject has a mild cognitive impairment (MCI) or Alzheimer's Disease, the method comprising measuring the concentration of one or more VOCs in an exhaled sample from a subject, and comparing the concentration with a reference concentration, I.

Systems and methods are provided for performing a medical procedure within a patient's body that involves a thoracic duct including an ostium communicating with the patient's venous system. A distal end of a catheter is introduced through the patient's venous system into a body lumen adjacent the ostium of the thoracic duct. An expandable member on the distal end of the tubular member may be expanded adjacent the ostium, e.g., within the body lumen or the thoracic duct itself, and used to isolate the thoracic duct from the body lumen, whereupon a medical procedure may be performed via the thoracic duct. For example, lymphatic fluid may be removed from the thoracic duct through a lumen of the tubular member and/or one or more agents may be introduced into the thoracic duct through the tubular member.