Abstract: Described herein is a method for mixing unequal amounts of two reagents to produce a detectable reaction in a microfluidic chip. In one example, there is a fluorescent microfluidic urinary albumin chip (UAL-Chip) that exploits the nonimmunological fluorescent assay. In this chip, we constructed a passive and continuous mixing module, in which the loading process requires only an inexpensive dropper, and the signal is stable over time, as discussed below. We applied a pressure-balancing strategy based on the immiscible oil coverage which highly improves the precision in controlling the mixing ratio of sample and dye. The UAL-Chip has achieved an estimated limit of detection (LOD) of 8.4 ?g/ml using albumin standards, which is below the 30 ?g albumin per ml urine level considered to be indicative of kidney damage.

Abstract: A method for generating a prediction of chronic kidney disease (CKD) progression includes accessing a machine learning model trained on a training dataset comprising (i) a first set of medical laboratory data associated with a plurality of patients, (ii) an age of each patient included in the plurality of patients, and (iii) a sex of each patient included in the plurality of patients. The first set of medical laboratory data indicates 20 medical measurements for at least a combination of patients included in the plurality of patients. The method further includes generating a prediction of CKD progression for a new patient by applying an input dataset associated with the new patient to the machine learning model. The input dataset includes an age and sex of the new patient and a second set of medical laboratory data indicating at least some of the 20 medical measurements for the new patient.

Abstract: Described herein is a method for mixing unequal amounts of two reagents to produce a detectable reaction in a microfluidic chip. In one example, there is a fluorescent microfluidic urinary albumin chip (UAL-Chip) that exploits the nonimmunological fluorescent assay. In this chip, we constructed a passive and continuous mixing module, in which the loading process requires only an inexpensive dropper, and the signal is stable over time, as discussed below. We applied a pressure-balancing strategy based on the immiscible oil coverage which highly improves the precision in controlling the mixing ratio of sample and dye. The UAL-Chip has achieved an estimated limit of detection (LOD) of 8.4 ?g/ml using albumin standards, which is below the 30 ?g albumin per ml urine level considered to be indicative of kidney damage.