Provided is a method for analyzing a tissue specimen, including treating a tissue specimen with an aqueous clearing agent and with at least two fluorescent probes to obtain a cleared and labeled tissue specimen; imaging the cleared and labeled tissue specimen to generate a three-dimensional (3D) image of the tissue specimen; preparing a stained tissue section from the cleared and labeled tissue specimen; capturing a reference two-dimensional (2D) image of the stained tissue section; matching the reference 2D image with the 3D image to extract from the 3D image a series of 2D image slices including a corresponding 2D image slice that corresponds to the reference 2D image; and determining at least one pathological score for each of the series of 2D image slices and reporting the presence or absence and the extent of the disease based on the pathological scores. The method can improve the accuracy of histopathologic diagnosis.

This invention provides methods, reagents, and diagnostic and prognostic markers useful for minimally invasive identification, diagnosis, and therapeutic intervention in individuals with colorectal cancers, or individuals who may be susceptible to developing colorectal cancers.

Embodiments of the invention relate to a computer-implemented method for quantifying a biomarker in a tissue sample of an organism. An image analysis system receives images of a stained tissue sample. Each received digital image depicts the tissue sample region at the end of an exposure interval. The system analyzes the intensity values and exposure intervals of the received digital images for determining the time when the intensity values corresponding to the plurality of exposure intervals ordered according to ascending exposure interval lengths reach a plateau (saturation residence time—SRT). The system determines the amount of a biomarker in the tissue sample and/or predicts a tumor stage and/or a treatment recommendation as a function of the SRT.

The present invention relates to detecting serum anti-FadA antibodies in test samples from a patient. Additionally, aspects of the present invention provide the basis for detection of serum anti-FadA antibody levels from test samples and correlation with various conditions of clinical relevance.

The invention provides methods and systems for detecting a biomarker in a synovial fluid wherein the system also includes a control to ensure that the test sample is indeed synovial fluid. The biomarkers and the control for synovial fluid can be identified using proteomic methods, including but not limited to antibody based methods, such as an enzyme-linked immunosorbant assay (ELISA), a radioimmunoassay (RIA), or a lateral flow immunoassay.

The invention provides methods and systems for detecting a biomarker in a synovial fluid wherein the system also includes a control to ensure that the test sample is indeed synovial fluid. The biomarkers and the control for synovial fluid can be identified using proteomic methods, including but not limited to antibody based methods, such as an enzyme-linked immunosorbant assay (ELISA), a radioimmunoassay (RIA), or a lateral flow immunoassay.

The present invention relates to an in vitro method for identifying a skin wound in an individual as being a non-healing skin wound or healing skin wound, in vitro methods for monitoring the healing of a skin wound in an individual, methods for screening for compounds suitable for modulating skin wound healing, as well as kits related thereto.

The present invention includes a method for identifying an Alzheimer's disease (AD) patient prior to reaching clinical disease classification, comprising: obtaining a dataset associated with a blood, serum, or plasma sample from the patient, wherein the dataset comprises data representing the level of one or more microRNA biomarkers in the blood, serum, or plasma sample; assessing the dataset for a presence or an increase in an amount of miRNA-455-3p; determining the likelihood that the patient will develop AD patient prior to reaching clinical disease classification by detecting the presence or the increase in miRNA-455-3p to produce a score that is indicative of a likelihood of developing AD, wherein a higher score relative to a healthy control indicates that the patient is likely to have the prognosis for transitioning to classified AD, wherein the healthy control is derived from a non-AD patient with no clinical evidence of AD.

This disclosure generally relates to a molecular classification of cancer and particularly to molecular markers for predicting response to cancer therapy, including cancer immune therapy, and methods of use thereof.

The present invention relates to a method for predicting and monitoring the severity of COVID-19 disease following infection of a subject with the SARS-CoV-2 virus. It also relates to a method for the treatment of a subject with COVID-19 disease. It also relates to kits for use in the methods of the invention.