The invention relates to a method of differential diagnosis of schizophrenia or other psychotic disorder from a further psychiatric disorder.

The present invention concerns machine learning based methods and systems for diagnosing and treating genetic diseases characterized by mitochondrial dysfunctions. A library of reference learning models is developed based on in vitro reference samples obtained from cell-cultures exposed to specific mitochondrial inhibitors. Each model is able to predict a specific labeled mitochondrial dysfunction induced in the cell-culture by the inhibitor/stressor. The reference models are then applied to target samples drawn in vivo from target subjects who are known to have specific genetic mitochondrial diseases. A mapping is developed between mitochondrial dysfunctions predicted in the subjects and their known mitochondrial diseases. This mapping and the reference models are then applied to a clinical sample of an undiagnosed patient in whom a diagnosis of a mitochondrial dysfunction and an associated mitochondrial disease is made. If there is a known rescuer for the mitochondrial dysfunction, it may be recommended in a personalized, targeted therapy.

Provided are methods and compositions for detecting cognitive disorders such as Schizophrenia. Demonstrated herein is collapsing response mediator protein-2 (CRMP2) as a biomarker for detecting Schizophrenia in peripheral blood sample.

The present invention provides, inter alia, methods for treating or ameliorating the effects of a disorder, such as schizophrenia or bipolar disorder, by increasing or decreasing proline levels. Further provided are methods of predicting and monitoring the clinical response in a patient, and diagnostic systems for identifying a patient likely to benefit from proline modulation.

The present disclosure provides a basal ganglia-on-a-chip for screening therapeutic agents for brain and nervous system diseases and a method for fabricating the same. The present invention provides a method for screening therapeutic agents for dopamine-dependent brain and nervous system diseases by using a basal ganglia-on-a-chip. When the basal ganglia-on-a-chip of the present invention is used in the effect evaluation of therapeutic agents for brain and nervous system diseases, the effect evaluation of therapeutic candidate substances can be economically and promptly carried out compared with an existing technique.

Disclosed is an antibody which binds to aripiprazole, which can be used to detect aripiprazole in a sample such as in a competitive immunoassay method. The antibody can be used in a lateral flow assay device for point-of-care detection of aripiprazole, including multiplex detection of aripiprazole, olanzapine, quetiapine, and risperidone in a single lateral flow assay device.

Methods are provided that allow global access to redox-based molecular information by coupling electrochemical measurements with signal processing approaches. More specifically, the disclosure provides methods that rely on the use of redox probes to assay samples for redox activities that act to exchange electrons with the probe thereby generating detectable optical and electrochemical signature signals that can then be assigned to a sample feature of interest. In particular embodiments, the disclosed assay methods are useful for diagnosis and prognosis of disorders, such as schizophrenia, that are found to be associated with a specific redox-based signature within a subject sample.

The present disclosure provides a basal ganglia-on-a-chip for screening therapeutic agents for brain and nervous system diseases and a method for fabricating the same. The present invention provides a method for screening therapeutic agents for dopamine-dependent brain and nervous system diseases by using a basal ganglia-on-a-chip. When the basal ganglia-on-a-chip of the present invention is used in the effect evaluation of therapeutic agents for brain and nervous system diseases, the effect evaluation of therapeutic candidate substances can be economically and promptly carried out compared with an existing technique.

Disclosed is an antibody which binds to aripiprazole, which can be used to detect aripiprazole in a sample such as in a competitive immunoassay method. The antibody can be used in a lateral flow assay device for point-of-care detection of aripiprazole, including multiplex detection of aripiprazole, olanzapine, quetiapine, and risperidone in a single lateral flow assay device.

Disclosed is an antibody which binds to olanzapine, which can be used to detect olanzapine in a sample such as in a competitive immunoassay method. The antibody can be used in a lateral flow assay device for point-of-care detection of olanzapine, including multiplex detection of aripiprazole, olanzapine, quetiapine, and risperidone in a single lateral flow assay device.