Increased levels of soluble urokinase-type plasminogen activator receptor (suPAR), particularly a plasma level of over 4.75 ng/ml or 6 ng/nl, have been found to be a predictor of whether a subject with COVID-19 symptoms and/or SARS-CoV-2 infection will require oxygen supplementation.

The invention relates to a new non-invasive test making it possible to detect infection by the SARS-CoV-2 virus in a patient, using values of Apolipoprotein A1 alone or in combination with other markers.

The present invention is related to short-term renal injury models and methods for creating these models. The models and methods can be used for identifying, testing or characterizing candidate molecules with respect to their suitability to treat renal injury. The methods comprise a step of inducing, in a test subject, renal injury by administering subcutaneously a bolus of a renal injury inducer, in a dosage sufficiently high to induce renal injury. Different types of readout for renal injury are provided such as albumin creatinine ratio (ACR) determined in a urine sample taken from the subject, or the development of transcutaneous fluorescence after injection of a fluorescent molecule. Based on the readout the degree of renal injury and/or alteration of GFR can be determined.

The present disclosure pertains to predicting an onset of a cerebral hemorrhagic event in a subject by testing a blood sample of the subject for the presence or absence of one or more indicators; and correlating the presence or absence of the one or more indicators to the subjects risk for suffering from the cerebral hemorrhagic event, where the presence of the one or more indicators is correlated to an increased risk in the subject for suffering from the cerebral hemorrhagic event and where the absence of the one or more indicators is correlated to a decreased risk in the subject for suffering from the cerebral hemorrhagic event. The methods of the present disclosure may also include implementing a therapeutic decision in order to prevent the cerebral hemorrhagic event. The present disclosure also pertains to kits for use in predicting an onset of a cerebral hemorrhagic event in a subject.

The biometric system comprises: a measurement cartridge; and a meter, equipped with the measurement cartridge, for measuring an analyte present in a sample of the measurement cartridge. The measurement cartridge comprises a reagent container, a capillary module, and a reagent rod. The reagent container receives a liquid reagent and has a top sealed with a sealing film. The capillary module comprises a capillary tube which is located on an upper side of the reagent container and collects the sample by a capillary phenomenon, and the capillary tube is introduced into the reagent container by rupturing a contact portion to the sealing film by an applied pressure.

The disclosure directed to methods for measuring an analyte alone or in combination with total protein in biological samples. More particularly, the disclosure relates to methods for measuring an analyte and/or total protein using one or more colorimetric reagents alone or in combination with protein precipitation reagents.

An exemplary urinalysis device for non-clinical use is described as having: a housing; a touchscreen on the housing; a test strip holder, which is removably, slidably engaged with the housing; at least two light emitting diode (LED) light sources, housed in the housing and including a white LED and a red-blue-green (RBG) LED; a camera module housed in the housing, both the plurality of LEDs and the camera module directed to an illumination and detection zone; a timer system; and/or a computational system in electronic communication with the plurality of LEDs, the camera module and the timer system, the computational system including a processor and a memory. Related methods and systems also are described.

The present invention provides a method, wherein the method classifies a subject as suffering from dry eye, the method consisting of: a. obtaining demographic data, consisting of the age and gender of the subject; b. obtaining a tear sample from the patient, and determining the level of human serum albumin; c. from the determined level of human serum albumin, assigning a score for the determined amount of human serum albumin; and d. from the assigned score, calculating a cutoff probability score, according to the following equation: $\frac{\exp \left(-0.6491-1.1142*\mathrm{Albumin}\right)}{1+\exp \left(-0.6491-1.1142*\mathrm{Albumin}\right)}$
wherein the subject has dry eye, if the calculated cutoff probability score is from 50% to 60%.

A functional unit for a toilet system includes: a discharge section discharging, into a toilet bowl, a test agent that allows for determination of a health condition of a human body through a reaction with urine; an input device configured to allow a user to perform an operation for discharging the test agent from the discharge section; and a control section controlling the discharge section based on the operation of the input device by the user. A functional unit for a toilet system includes: a discharge section discharging, into a toilet bowl, a test agent that allows for determination of a health condition of a human body through a reaction with urine; a control section controlling the discharge section; and a sensor, in which the control section performs control to discharge at least one of foam or the test agent based on a detection by the sensor.

The present invention provides a method, wherein the method classifies a subject as suffering from dry eye, the method consisting of: a. obtaining demographic data, consisting of the age and gender of the subject; b. obtaining a tear sample from the patient, and determining the level of human serum albumin; c. from the determined level of human serum albumin, assigning a score for the determined amount of human serum albumin; and d. from the assigned score, calculating a cutoff probability score, according to the following equation:

[00001]$\frac{\exp \left(-0.6491-1.1142*\mathrm{Albumin}\right)}{1+\exp \left(-0.6491-1.1142*\mathrm{Albumin}\right)}$

wherein the subject has dry eye, if the calculated cutoff probability score is from 50% to 60%.