A method for training a baseline risk model, including: pre-processing input data by normalizing continuous variable inputs and producing one-hot input features for categorical variables; providing definitions for clean input data and dirty input data based upon various input data related to a patient condition; segmenting the input data into clean input data and dirty input data, wherein the clean input data includes a first subset and a second subset, where the first subset and the second subset include all of the clean input data and are disjoint; training a machine learning model using the first subset of the clean data; and evaluating the performance of the trained machine learning model using the second subset of the clean input data and the dirty input data.

In one example in accordance with the present disclosure, an electronic device is described. The example electronic device includes a microphone device to record a tracheal sound. The example electronic device also includes an oral expiratory flow sensor to measure oral expiratory flow contents. The example electronic device further includes a processor to determine a health condition based on the tracheal sound and the oral expiratory flow contents.

Systems, methods, and computer-readable media are provided for identification of patients having an elevated near-term risk of chronic kidney disease progression, including quantitatively predicting whether or not an elevated risk of progression of Stage 3 or Stage 4 chronic kidney disease is likely within a time interval of up to 36 months subsequent to computing the prediction. Based on the prediction, appropriate care providers may be notified so that the risk of CKD progression may be mitigated. In some embodiments, serial measurements are obtained of urine osmolality, and a challenge with an AVP V2 antagonist and serum sodium concentration is provided. From a time series based on the serial measurements, estimates of each variable's velocity and/or doubling-time may be determined. These values then may be combined via a multivariable mathematical model for providing a leading indicator of near-term future abnormalities in kidney function.

An oxygen-sensing assembly for attachment to a urinary catheter may include a housing having a flow pathway extending between an inlet end and an outlet end thereof, an oxygen sensor in operable communication with the flow pathway of the housing, the oxygen sensor configured to detect oxygen levels of a fluid flowing through the flow pathway and a flowrate sensor configured to detect a flowrate of the fluid flowing through the flow pathway. A risk of acute kidney injury may be determined based on the mass flowrate of oxygen through the flow pathway, determined based on the detected oxygen levels and the flowrate of the fluid through the flow pathway. Related catheter assemblies and methods are also disclosed.

A method for determining a glomerular filtration rate (GFR) in a patient includes administering to said patient a compound of Formula I and transdermally measuring spectral energy emitted by the compound of Formula I over a measurement time window. The spectral energy is emitted by the compound of Formula I in response to electromagnetic radiation delivered to the compound of Formula I. The method also includes determining the GFR in said patient based on the measured spectral energy emitted by the compound of Formula I over the measurement time window by fitting an exponential function to the spectral energy as a function of time or a linear function to the log of the spectral energy as a function of time to calculate a rate constant associated with renal clearance over the measurement time window and directly related to the GFR normalized to a body size metric of the patient.

A non-invasive detection device for uric acid includes a waterproof casing, a monitor, a detection part, and a processor. The waterproof casing includes an internal space and a detection end. The monitor is mounted on the waterproof casing. The detection part includes a detection passage, a light source module, and at least one sensor. The detection passage is configured for urine to pass through. The light source module emits a detection beam with a first wavelength to the detection passage. The at least one sensor is mounted in the internal space, receives the detection beam penetrating the urine, and generates a light intensity signal according to the detection beam. The processor electrically connects to the monitor, the light source module, and the at least one sensor. The processor receives the light intensity signal, and calculates the uric acid content in the urine to generate a detection result.

By employing a pharmacodynamic dosing regimen, the effectiveness of a protocol for treatment of a proteinuric kidney disease with voclosporin can be maximized while minimizing undesirable side effects.

An intravascular catheter for nerve activity ablation and/or sensing includes one or more needles advanced through supported guide tubes (needle guiding elements) which expand to contact the interior surface of the wall of the renal artery or other vessel of a human body allowing the needles to be advanced though the vessel wall into the extra-luminal tissue including the media, adventitia and periadvential space. The catheter also includes structures which provide radial and lateral support to the guide tubes so that the guide tubes open uniformly and maintain their position against the interior surface of the vessel wall as the sharpened needles are advanced to penetrate into the vessel wall. Electrodes at the distal ends of the guide tubes allow sensing of nerve activity before and after attempted renal denervation. In a combination embodiment ablative energy or fluid is delivered to ablate nerves outside of the media.

Systems, devices, and methods for delivering laser energy to a target in an endoscopic procedure are disclosed. An exemplary method comprises providing a first laser pulse train and a different second laser pulse train emitting from a distal end of an endoscope and incident on a target. The first laser pulse train has a first laser energy level, and the second laser pulse train has a second laser energy level higher than the first laser energy level. In an example, the first laser pulse train is used to form cracks on a surface of a calculi structure, and the second laser pulse train causes fragmentation of the calculi structure after the cracks are formed.

An intraluminal microneurography probe has a probe body configured to be introduced into an artery near an organ of a body without preventing the flow of blood through the artery. An expandable sense electrode and an expandable stimulation electrode are fixed to the probe body at one end of each electrode such that movement of the other end toward the fixed end causes the sense electrode to expand from the probe body toward a wall of the artery. A ground electrode is configured to couple to the body, and a plurality of electrical connections are operable to electrically couple the electrodes to electrical circuitry. The sense electrode is operable to measure sympathetic nerve activity in response to excitation of the stimulation electrode. A radio frequency ablation element is located between the expandable sense electrode and expandable stimulation electrode, and is operable to ablate nerves proximate to the artery.