Disclosed is a bioparticle measuring method including: detecting signal from a first measurement sample and signal from a second measurement sample, wherein the first measurement sample is prepared by mixing: a first sample containing a bioparticle sampled from a specimen; and a detector capable of binding to the bioparticle and containing a labeled substance, in the presence of an inhibitor capable of binding to the bioparticle and containing none of the labeled substance, and the second measurement sample is prepared by mixing: a second sample sampled from the same specimen independently from the first sample; and the detector, under a condition that the inhibitor is substantially absent; and calculating a measurement result of the bioparticle from a detection result of the signals from the first measurement sample and a detection result of the signals from the second measurement sample.

This disclosure provides kits and methods for detecting markers in a sample from a subject with unknown status and generating a risk assessment of the presence or absence of cancer, such as colorectal cancer. In embodiments, a kit comprises at least four reagents, each specifically binding to one of at least four polypeptides in a sample from the subject. The polypeptides include GDF15, keratin 1-10, and two or more of hepsin, IL-8, CEA, L1CAM, MCP-1, and OPG. The kit further includes at least one standard comprising a known amount of at least one of the polypeptides. The kit can also include computer readable media comprising instructions to analyze the detected amounts of the at least four polypeptides using a machine learning algorithm to determine whether a subject has an increased risk of the presence of colorectal cancer.

This disclosure provides kits and methods for detecting markers in a sample from a subject with unknown status and generating a risk assessment of the presence or absence of cancer, such as colorectal cancer. In embodiments, a kit comprises at least four reagents, each specifically binding to one of at least four polypeptides in a sample from the subject. The polypeptides include GDF15, keratin 1-10, and two or more of hepsin, IL-8, CEA, L1CAM, MCP-1, and OPG. The kit further includes at least one standard comprising a known amount of at least one of the polypeptides. The kit can also include computer readable media comprising instructions to analyze the detected amounts of the at least four polypeptides using a machine learning algorithm to determine whether a subject has an increased risk of the presence of colorectal cancer.

The present invention relates to methods for quantifying subpopulations of exosomes and diagnostic and prognostic methods for neurodegenerative disorders (e.g., Alzheimer's disease). The invention also provides compositions for quantifying subpopulations of exosomes as well as compositions and methods useful for treating Alzheimer's disease and other neurodegenerative disorders.

The present disclosure relates to lateral flow methods and apparatuses for detecting one or more analytes. Certain embodiments provide a lateral flow device, kit and method of using the same, comprising: a flow path defined by a permeable sub-assembly of the lateral flow device, a release zone comprising a plurality of peptide-tagged agents, and a detection zone comprising a plurality of anti-peptide agents present in the flow path at a ratio of at least 100:1, on a weight:weight basis, relative to the plurality of peptide-tagged agents.

The present disclosure relates to lateral flow methods and apparatuses for detecting one or more analytes. Certain embodiments provide a lateral flow device, kit and method of using the same, comprising: a flow path defined by a permeable sub-assembly of the lateral flow device, a release zone comprising a plurality of peptide-tagged agents, and a detection zone comprising a plurality of anti-peptide agents present in the flow path at a ratio of at least 100:1, on a weight:weight basis, relative to the plurality of peptide-tagged agents.

Devices, methods, and kits for detecting at least two analytes present within a small volume single fluid sample obtained from patient for the creation of a multiplexed panel of the various analytes present within the single fluid sample are disclosed.

Devices, methods, and kits for detecting at least two analytes present within a small volume single fluid sample obtained from patient for the creation of a multiplexed panel of the various analytes present within the single fluid sample are disclosed.

An analytical process for detecting antibody in human blood serum, which antibody is directed against blood group antigen, wherein the serum contains an additional antibody directed against a surface antigen, by contacting the serum to be analysed with blood cell membranes, which naturally bear surface blood group antigens, followed by detection of agglutination which indicated the presence of antibody directed against at least one surface antigen of the blood cell membranes. The agglutination reaction caused by the additional antibody is prevented, allowing the detection of anti-blood group antibody.

A biosensor includes a solution chamber containing primary antibodies, secondary antibodies, and measuring substances, an injection fluid transfer unit for connection the solution chamber to an injection port, and a discharging transfer unit for connecting the solution chamber to a discharging port.