The present invention includes methods and kits for the diagnosing a neurological disease within primary care settings comprising: obtaining a blood test sample from a subject, measuring IL-7 and TNFα biomarkers in the blood sample, comparing the level of the one or a combination of biomarkers and neurocognitive screening tests with the level of a corresponding one or combination of biomarkers in a normal blood sample and neurocognitive screening tests, and predicting that an increase in the level of the blood test sample in relation to that of the normal blood sample indicates that the subject is likely to have a neurological disease.

The present disclosure provides methods of determining the susceptibility of a dog to liver copper accumulation, comprising detecting in a biological sample obtained from the dog the presence or absence in the genome of the dog of one or more polymorphisms, and methods of treating or breeding the dog based on such determination.

The present disclosure provides methods of determining the susceptibility of a dog to liver copper accumulation, comprising detecting in a biological sample obtained from the dog the presence or absence in the genome of the dog of one or more polymorphisms, and methods of treating or breeding the dog based on such determination.

The present disclosure provides a method of generating a new trait converted elite cultivar through a method of breeding. For instance, the method involves the use of parent plants, which are respectively the traited variant of the parents of the non-traited elite cultivar and estimating a minimum population size necessary to generate a progeny plant comprising the desired trait and sharing a sufficiently high identity by descent with the non-traited elite cultivar to ensure replication and equivalency of general performance. The present method may be used to generate an elite cultivar in fewer generations, thereby accelerating new line production, and reducing costs. The present method may also be used to generate non-traited variants of traited lines.

The present disclosure provides a method of generating a new trait converted elite cultivar through a method of breeding. For instance, the method involves the use of parent plants, which are respectively the traited variant of the parents of the non-traited elite cultivar and estimating a minimum population size necessary to generate a progeny plant comprising the desired trait and sharing a sufficiently high identity by descent with the non-traited elite cultivar to ensure replication and equivalency of general performance. The present method may be used to generate an elite cultivar in fewer generations, thereby accelerating new line production, and reducing costs. The present method may also be used to generate non-traited variants of traited lines.

The invention relates to a method for a more appropriate thromboembolic event risk assessment based on the presence of different genetic variant. The invention also relates to a method for determining the risk of suffering a thromboembolism disease by combining the absence or presence of one or more polymorphic markers in a sample from the subject with conventional risk factors for thromboembolism as well as computer-implemented means for carrying out said method.

A method for generating an immune score, the method comprising the steps of: (i) determining a qualitative and/or quantitative assessment of tumor infiltrating lymphocytes in a sample; (ii) determining a qualitative and/or quantitative assessment of T-cell receptor signaling in the sample; (iii) determining a qualitative and/or quantitative assessment of mutation burden in the sample; (iv) generating, using a predictive algorithm, an immune score based on the determined qualitative and/or quantitative assessment of tumor infiltrating lymphocytes, the determined qualitative and/or quantitative assessment of T-cell receptor signaling, and the determined qualitative and/or quantitative assessment of mutation burden.

A method for generating an immune score, the method comprising the steps of: (i) determining a qualitative and/or quantitative assessment of tumor infiltrating lymphocytes in a sample; (ii) determining a qualitative and/or quantitative assessment of T-cell receptor signaling in the sample; (iii) determining a qualitative and/or quantitative assessment of mutation burden in the sample; (iv) generating, using a predictive algorithm, an immune score based on the determined qualitative and/or quantitative assessment of tumor infiltrating lymphocytes, the determined qualitative and/or quantitative assessment of T-cell receptor signaling, and the determined qualitative and/or quantitative assessment of mutation burden.

Disclosed herein are classifier models, computer implemented systems, machine learning systems and methods thereof for classifying clinical variants of unknown or uncertain significance into a pathogenicity category using measured phenotype features extracted from phenotype assays of transgenic organism expressing the human clinical variant. Embodiments of the present invention relate generally to methods for generating classifier models using machine learning and use of those classifier models to predict the pathogenicity of a clinical variant for a specific human disease (e.g. genetic disease), assigning a patient clinical variant to a pathogenicity category (e.g. pathogenic or benign) for the specific human disease to determine whether that patient should be followed up with additional, more invasive diagnostic testing, or treatment.

Disclosed herein are classifier models, computer implemented systems, machine learning systems and methods thereof for classifying clinical variants of unknown or uncertain significance into a pathogenicity category using measured phenotype features extracted from phenotype assays of transgenic organism expressing the human clinical variant. Embodiments of the present invention relate generally to methods for generating classifier models using machine learning and use of those classifier models to predict the pathogenicity of a clinical variant for a specific human disease (e.g. genetic disease), assigning a patient clinical variant to a pathogenicity category (e.g. pathogenic or benign) for the specific human disease to determine whether that patient should be followed up with additional, more invasive diagnostic testing, or treatment.