Abstract: The present disclosure describes significant methylation changes in multiple genes and multiple metabolites in body fluid in response to TBI. Gene pathways affected included several known to be involved in neurological and brain function. A large number of good to excellent biomarkers for the detection of TBI was identified. The combination of epigenomic, clinical and metabolomic markers in different combinations overall were highly accurate for the detection of pediatric concussion using Artificial Intelligence-based techniques.

Abstract: The present disclosure describes a method of detecting, diagnosing, or predicting congenital heart defect (CHD). The method is a primarily minimally invasive method, as it uses a biological sample from a subject for detecting methylation changes in the nucleic acids of the subject. The method also involves the use of artificial intelligence (AI).

Abstract: An Artificial intelligence-based method for diagnosing Alzheimer's Disease or determining susceptibility to Alzheimer's Disease includes a step of obtaining a blood sample from a target subject (e.g., a human). The degree of methylation in one or a plurality of Alzheimer indicators genes is identified for leukocytes in the blood sample. Each Alzheimer indicator gene is identified as being an indicator of the presence of or risk of developing Alzheimer's Disease. Characteristically, the at least one or the plurality of Alzheimer indicators genes have been identified by a machine learning technique or by logistic regression. Finally, the target subject is identified as being at risk for Alzheimer's Disease if the amount of methylation of one or more Alzheimer indicators genes differs from the amount of methylation established in control subjects (for the same genes) not having Alzheimer's Disease by a predetermined amount.

Abstract: The present invention relates to methods for diagnosing and/or treating Alzheimer's Disease (AD) by detecting in a human sample the levels of one or more of the metabolites galactose, imidazole acetone, creatinine, and 5-aminopentanoate; diagnosing the patient with AD when one or more of the metabolites galactose, imidazole acetone, creatinine, and 5-aminopentanoate in the sample is at a different level than a statistically validated threshold for the respective metabolite. In some embodiments, the AD is diagnosed and the patient is treated for AD.

Abstract: The present disclosure describes significant methylation changes in multiple genes and multiple metabolites in body fluid in response to TBI. Gene pathways affected included several known to be involved in neurological and brain function. A large number of good to excellent biomarkers for the detection of TBI was identified. The combination of epigenomic, clinical and metabolomic markers in different combinations overall were highly accurate for the detection of pediatric concussion using Artificial Intelligence-based techniques.

Abstract: The present disclosure describes significant differences in methylation of cytosine bases in many loci throughout the genome in cases of cerebral palsy (CP) compared to unaffected cases (without CP). The present disclosure also describes novel methods for the prediction of CP that can be applied to embryos, fetuses, newborns, and different stages of postnatal life including childhood and any time in later postnatal life. The method is applicable to deoxyribonucleic acid (DNA) found in body fluids of CP subjects. Statistical techniques for estimating a subject's risk of having CP include comparing the degree of methylation of specific cytosine loci throughout the DNA in a subject being tested and comparing this to the percentage of cytosine at said sites in populations of individuals: with CP and/or a reference population of normal cases without CP. Risk for having specific types of CP or CP overall can also be determined based.

Abstract: Systems and methods to predict or diagnose autism are described. Using markers, the systems and methods can predict or diagnose autism based on significant differences in methylation of cytosine bases in many loci throughout the genome. Therapeutic interventions can then be initiated at an earlier time in development, decreasing severity of the disorder.

Abstract: The present invention relates to methods for detecting, diagnosing and/or treating endometrial cancer by detecting in a biological sample from a patient the levels of one or more of the metabolites: C14.2, PC ae C38:1, 3-Hydroxybutyric acid, C18:2, PC ae C40:1, and C6 (C4:1-DC). In some embodiments, the method also includes diagnosing the patient with endometrial cancer when the one or more metabolites in the biological sample is at a different level than a statistically validated threshold for the one or more metabolites, and ultrasound indicates endometrial cancer in the patient. In further embodiments, once endometrial cancer is diagnosed, the patient is treated for the endometrial cancer.

Abstract: The present invention relates to methods for detecting, diagnosing and/or treating traumatic brain injury by detecting in a biological sample from a patient the levels of one or more of the metabolites: methionine sulfoxide, PC aa C 34:4, ATP, AMP, NAD+, ADP, IMP, spermidine, lysoPC a C20:3, C18:1, and proline. In some embodiments, the method also includes diagnosing the patient with traumatic brain injury when the one or more metabolites in the biological sample is at a different level than a statistically validated threshold for the one or more metabolites, and CT, MRI, or PET indicates traumatic brain injury to the brain of the patient. In further embodiments, once traumatic brain injury is diagnosed, the patient is treated for the traumatic brain injury.