The invention relates to a method to indicate the clinical outcome of a cancer patient by labelling a cancer sample with labelled molecular probes, assaying the expression of a plurality of biomolecules at the resolution of a single cell and assigning a cellular identity (CI) to each single cell in the sample based on their expression pattern; then assigning a single cell pathology (SCP) patient group according to the proportion of each CI the sample contains.

The invention in other aspects relates to methods of treatment of a patient with anticancer drugs according to the patient's assignment to particular SCPs. Alternatively, this aspect may be formulated as the provision of certain drugs for treatment of cancer in patients characterized by tumours assigned to certain SCPs.

The present invention relates to a biomarker composition for predicting the prognosis of a cancer patient, the biomarker composition including a first molecular subtype or a protein transcribed and translated from the first molecular subtype. The present invention also relates to a biomarker composition for predicting the prognosis of a cancer patient, the biomarker composition further including a second molecular subtype or a protein transcribed and translated from the second molecular subtype.

Provided herein are methods and systems for the analysis of biomarkers, and methods of providing diagnoses and/or prognoses therewith. In particular, methods and systems for performing biomarker ratio imaging microscopy (BRIM) are provided, as well as methods of using BRIM for the analysis of biomarker pairs (e.g., CD44/CD24, N-cadherin/E-cadherin, CD74/CD59, etc.) diagnosis and/or prognosis of cancer (e.g., ductal carcinoma in situ).

The application discloses in vitro methods for diagnosing lung cancer in a subject, wherein the method comprises detecting at least one biomarker selected from the group consisting of Rho GDP dissociation inhibitor beta (ARHGDIB), alpha-tubulin 4A (TUBA4A), glutathione S-transferase omega 1 (GSTO1), filamin A (FLNA), peroxiredoxin 6 (PRDX6) and cadherin 13 (CDH13) in a biological sample from the subject, and kits for measuring said at least one biomarker.

Provided are methods of making a SARS-CoV-2 (COVID-19) infection classifier for a platform, and optionally a non-COVID-19 viral infection classifier, a bacterial infection classifier, a non-infectious illness classifier, and/or a healthy subjects classifier for the platform. Methods and systems for determining the presence of SARS-CoV-2 (COVID-19) infection in a subject or for determining the viral stage of infection of a SARS-CoV-2 (COVID-19) illness in a subject suffering therefrom are also provided.

Described herein are methods that use blood biomarkers to identify an increased risk of multiple independent infection episodes (MIIE) before clinical signs of infection appear. Thus, provided herein are methods for detecting or predicting risk of developing multiple independent infection episodes (MIIE) in a subject who has experienced blunt trauma.

The invention relates to a collection of signature peptides representing at least 10 proteins for use in cancer diagnosis and/or prognosis, to an artificial protein comprising signature peptides representing at least 10 proteins and to a nucleic acid construct encoding for such an artificial protein. The invention further relates to a collection of at least 10 proteins for use in cancer diagnosis and/or prognosis. Additionally, the invention relates to a method for cancer diagnosis and/or prognosis comprising the step of analyzing at least 10 proteins in a urine sample of a subject. Finally, the invention relates to an immunoassay product comprising antibodies for detecting at least 10 proteins.

Methods and reagents for diagnosing, prognosing, and treating systemic lupus erythematosus (SLE) are disclosed, involving calculating an SLE risk score for a subject based on a level of each of an erythrocyte C4d (EC4d) marker, a B-cell C4d (BC4d) marker, antinuclear antibodies (ANA), anti-Smith antibodies (anti-Sm) and optional rule-out markers (SS-B/La, Scl-70, Jo-1, CENP, MCV).

The present invention relates to a biomarker for diagnosis of overactive bladder (OAB) disease, and a method for screening a drug using the biomarker. The markers described in the present invention can effectively detect or diagnose the onset of OAB by distinguishing them from normal populations. In particular, OAB-specific protein markers released into urine enable simple and rapid OAB diagnosis in a non-invasive manner. In addition, by selecting an agent that changes, particularly normalizes the expression and activity of the markers selected in the present invention, more effective preventative or therapeutic agents of OAB disease can be screened.

The invention relates to methods and kits for quantitating radiation exposure in a subject exposed to radiation, at risk of exposure to radiation or suspected of having been exposed to radiation. In embodiments, the present disclosure provides multiplexed immunoassays for quantifying amounts of biomarkers for assessing radiation exposure in a sample. Also provided herein are kits for performing the multiplexed assays.