The present invention provides devices and systems for use at the point of care. The methods devices of the invention are directed toward automatic detection of analytes in a bodily fluid. The components of the device are modular to allow for flexibility and robustness of use with the disclosed methods for a variety of medical applications.

The present disclosure is directed to a method of identifying a patient having heart failure as likely to respond to a therapy with a statin. The method is based on measuring the level of at least one marker selected from GDF-15 (Growth Differentiation Factor 15), Urea, SHBG (Sex Hormone-Binding Globulin), Uric acid, PLGF (Placental Growth Factor), IL-6 (Interleukin-6), Transferrin, a cardiac Troponin, sFlt-1 (Soluble fms-like tyrosine kinase-1), Prealbumin, Ferritin, Osteopontin, sST2 (soluble ST2), and hsCRP (high sensitivity C-reactive protein) in a sample from a patient. Further envisaged is a method of predicting the risk of a patient to suffer from death or hospitalization, wherein the patient has heart failure and undergoes a therapy with a statin. The method is also based on the measurement of the level of at least one of the aforementioned markers.

The present invention provides methods for treating metastatic cancer comprising identifying subjects who will respond favorably to anti-VEGF therapy. According to certain aspects of the invention, subjects are identified based on their expression level of one or more predictive biomarkers. Favorable response to anti-VEGF therapy is indicated by high expression levels of certain biomarkers or by low expression levels of certain biomarkers. An exemplary predictive biomarker is VEGF-A. Also disclosed herein are prognostic biomarkers useful for identifying cancer-bearing subjects who are expected to have better relative survival outcomes.

Disclosed herein are methods for detecting whether a subject is at risk of lung cancer based on a blood-based multivariate gene expression classifier. Methods for determining whether to obtain a biopsy in a subject based on a blood-based multivariate gene expression classifier are also disclosed. Further disclosed are methods for treating lung cancer based on a blood-based multivariate gene expression classifier are disclosed. Kits for detecting the expression levels of biomarkers for determining whether a subject is at risk of lung cancer are also disclosed.

The present invention relates to methods for predicting the probability of a treatment response of a human cancer patient to an immune checkpoint blocker treatment e.g. with anti PD-1, and to methods for predicting the probability of survival of a human cancer patient following an immune checkpoint blocker treatment, and to apparatuses and kits which can be used in these methods.

Biomarkers useful for diagnosing and assessing inflammatory disease are provided, along with kits for measuring their expression. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. The biomarkers include at least two biomarkers selected from the DAIMRK group and the score is a disease activity index (DAI).

Antibody molecules, in particular fully human antibodies that bind to human IGF-1 and cross-react with IGF-2 such that binding of IGF-1 and IGF-2 to the IGF-1 receptor is prevented and IGF-1 receptor-mediated signaling is inhibited. The antibodies do not bind to insulin and thus do not affect the mitogenic properties of insulin that are mediated by its binding to the insulin receptors. The antibodies are useful for the treatment of hyperproliferative diseases, in particular cancer.

Methods for identifying a binding site between a protein pharmaceutical product and a host-cell protein (HCP) using hydrogen exchange mass spectrometry are provided. The present application also provides methods to modify protein pharmaceutical products to eliminate the cleavage or modification by HCPs. In addition, the present application provides methods to block the identified binding site in protein pharmaceutical products to eliminate the cleavage or modification by HCPs.

Provided herein are methods and devices related to inducing a population of self-renewing or senescent stem cells, to produce one or more beneficial factors for the treatment of a disease or disorder in an individual. Also provided are compositions and methods for inducing senescence, useful for inducing senescence in a population of stem cells, in order to produce one or more beneficial factors for the treatment of a disease or disorder in an individual. Methods and devices to control and customize the production of the beneficial factors for the requirements of a disease or disorder being treated are described. Also provided are factor production units for the production of the beneficial factors, and devices for the delivery of the beneficial factors to an individual in need.

An in vitro co-culture system comprising cancer-associated fibroblasts (CAFs) and cancer cells for producing and maintaining cancer stem cells and uses thereof for identifying agents capable of reducing cancer cell stemness. Also disclosed herein are a paracrine network through which CAFs facilitate production and/or maintenance of cancer stem cells and the use of components of such a paracrine network for prognosis purposes and for identifying cancer patients who are likely to respond to certain treatment.