Systems and methods are provided for non-invasive measurement of endogenous S-nitrosothiols and related measurements thereof. One or more sensors non-invasively measures a set of one or more biometric parameters within a region of interest of a subject to provide a time series of measurements for each of the set of biometric parameters. A medium stores machine-readable instructions that are executable by an associated processor to perform processing comprising receiving the time series of measurements of the biometric parameter, generating, using a predictive model, a value representing an endogenous S-nitrosothiol content of tissue within the region of interest from the time series of measurements of the biometric parameter, and providing, by a user interface, the value representing the endogenous S-nitrosothiol content of tissue within the region of interest to a user.

The present disclosure relates generally to devices, systems, and methods for diagnosis and treatment via laser-treated skin and, more particularly, to devices, systems, and methods for inducing leakage or rupture of one or more blood vessels comprising the dermis for various diagnostic and therapeutic applications. Other aspects of the present disclosure can include methods for detecting one or more target analytes in a dermis of a subject, methods for facilitating skin-to-blood delivery of agent in a subject, and methods for collecting a fluid sample from the dermis of a subject.

The invention provides systems for characterizing a biological sample by analyzing emission of fluorescent light from the biological sample upon excitation and methods for using the same. The system includes a laser source, collection fibers, a demultiplexer and an optical delay device. All references cited herein are incorporated by reference in their entirety as though fully set forth. Unless defined otherwise, technical and scientific terms used herein have the same meaning as commonly understood by one of-ordinary skill in the art in which this invention belongs.

A probe for real-time sensing of a target biomarker the includes a needle, a luminescent probe within the opening of the needle, a coating comprising a biomarker luminescent material in contact with biological tissue, and an ion-consuming coating within the needle and adjacent to the coating. The disclosed probe is useful for real-time sensing of blood during medical procedures. Additionally, a biomarker detection system is disclosed that includes a biomarker luminescent material at the tip of or inside of the tip of a needle and an optical coupler.

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.

A sensor, system, and method for detecting and correcting for changes to an analyte indicator of an analyte sensor. The analyte indicator may be configured to exhibit a first detectable property that varies in accordance with an analyte concentration and an extent to which the analyte indicator has degraded. The analyte sensor may also include a degradation indicator configured to exhibit a second detectable property that varies in accordance with an extent to which the degradation indicator has degraded. The analyte sensor may generate (i) an analyte measurement based on the first detectable property exhibited by the analyte indicator and (ii) a degradation measurement based on the second detectable property exhibited by the degradation indicator. The analyte sensor may be part of a system that also includes a transceiver. The transceiver may use the analyte and degradation measurements to calculate an analyte level.

An imaging system, such as a surgical microscope, laparoscope, or endoscope or integrated with these devices, includes an illuminator providing patterned white light and/or fluorescent stimulus light. The system receives and images light hyperspectrally, in embodiments using a hyperspectral imaging array, and/or using narrowband tunable filters for passing filtered received light to an imager. Embodiments may construct a 3-D surface model from stereo images, and will estimate optical properties of the target using images taken in patterned light or using other approximations obtained from white light exposures. Hyperspectral images taken under stimulus light are displayed as fluorescent images, and corrected for optical properties of tissue to provide quantitative maps of fluorophore concentration. Spectral information from hyperspectral images is processed to provide depth of fluorophore below the tissue surface. Quantitative images of fluorescence at depth are also prepared. The images are displayed to a surgeon for use in surgery.

A probe for insertion into an organ of a patient includes a medical device and an optical sensor. The medical device is fitted at a distal end of the probe and configured to perform one or both of electrophysiological (EP) sensing and ablation of tissue inside the organ. The optical sensor is configured to locally acquire an optical signal indicative of a concentration of at least one gas in blood in the organ.

This disclosure is directed to systems and techniques for detecting change in patient health based upon patient data. In one example, a medical system comprising processing circuitry communicably coupled to a glucose sensor and configured to generate continuous glucose sensor measurements of a patient. The processing circuitry is further configured to: extract at least one feature from the continuous glucose sensor measurements over at least one time period, wherein the at least one feature comprises one or more of an amount of time within a pre-determined glucose level range, a number of hypoglycemia events, a number of hyperglycemia events, or one or more statistical metrics corresponding to the continuous glucose sensor measurements; apply a machine learning model to the at least one extracted feature to produce data indicative of a risk of a cardiovascular event; and generate output data based on the risk of the cardiovascular event.

The present invention is directed to an apparatus (10) for reliable quantitative measurement of a fluorescent blood analyte in tissue (12) comprising: at least one light source (14), the light source (14) emitting excitation light at least at a first wavelength range between 350 nm and 450 nm to the tissue (12); a detection unit (16), the detection unit (16) measuring: a) a portion of the fluorescent light emitted by the fluorescent blood analyte excited at the first wavelength range; and b) a portion of the auto fluorescence emitted by the tissue (12); and/or c1) a portion of the remitted excitation light at the first wavelength range, and c2) a portion of the remitted light at a second wavelength range; and a control unit (18), the control unit (18) operating the light source (14) and detection unit (16). The present invention is further directed to a method for quantitative measurement of a fluorescent blood analyte in tissue (12).