The present invention relates to a system for providing genetic information-based personalized social content information, and a method thereof. Disclosed, according to one embodiment, is a system for providing genetic information-based personalized social content information, the system comprising: a genetic testing device unit which performs genetic testing for genetic physical characteristics and genetic disorders of a user; a solution management item provision unit which is installed in a management server, receives a genetic testing result as input from the genetic testing device unit, and, according to the inputted genetic testing result, provides solution management items including improvement methods for and worsening factors of the genetic physical characteristics and genetic disorders of the user; a solution performance checking unit which is installed in a communication terminal of the user, receives, from the user, inputs on whether each of the solution management items, provided by the solution management item provision unit, have been performed, and transmits same to the outside at every predetermined time period; and a user management state analysis and management unit which is installed in the management server, and analyzes and manages the degree of improvement and worsening of the genetic physical characteristics and genetic disorders of the user, according to results on whether the solution management items have been performed, which are received from the solution performance checking unit.

The present invention relates to a system for providing genetic information-based personalized social content information, and a method thereof. Disclosed, according to one embodiment, is a system for providing genetic information-based personalized social content information, the system comprising: a genetic testing device unit which performs genetic testing for genetic physical characteristics and genetic disorders of a user; a solution management item provision unit which is installed in a management server, receives a genetic testing result as input from the genetic testing device unit, and, according to the inputted genetic testing result, provides solution management items including improvement methods for and worsening factors of the genetic physical characteristics and genetic disorders of the user; a solution performance checking unit which is installed in a communication terminal of the user, receives, from the user, inputs on whether each of the solution management items, provided by the solution management item provision unit, have been performed, and transmits same to the outside at every predetermined time period; and a user management state analysis and management unit which is installed in the management server, and analyzes and manages the degree of improvement and worsening of the genetic physical characteristics and genetic disorders of the user, according to results on whether the solution management items have been performed, which are received from the solution performance checking unit.

Methods and arrays for identifying the cell or tissue origin of DNA are provided. Accordingly there is provided a method of identifying DNA having a methylation pattern distinctive of a cell or tissue type or state comprising: labeling an epigenetic modification of interest in a DNA sample with a label; contacting said sample on an array comprising a plurality of probes for said DNA under conditions which allow specific hybridization between said plurality of probes and said DNA; and detecting said hybridization, wherein an amount of said label is indicative of the cell or tissue type or state, wherein the method is effected in the absence of amplification of said DNA.

Methods for generating a composite biomarker that identifies a predicted level of responsiveness of a subject to a particular type of an immunotherapy treatment is provided. The method can include generating genomic metrics that represent one or more characteristics corresponding to one or more DNA sequences. The method can also include generating transcriptomic metrics represent one or more characteristics corresponding to a set of peptides that are translated from a corresponding RNA sequence of the one or more RNA sequences. The method can also include generating a composite biomarker score derived from the set of genomic metrics and the set of transcriptomic metrics. The method can also include determining, based on the composite biomarker score, a predicted level of responsiveness of the subject to a particular type of an immunotherapy treatment.

Methods for generating a composite biomarker that identifies a predicted level of responsiveness of a subject to a particular type of an immunotherapy treatment is provided. The method can include generating genomic metrics that represent one or more characteristics corresponding to one or more DNA sequences. The method can also include generating transcriptomic metrics represent one or more characteristics corresponding to a set of peptides that are translated from a corresponding RNA sequence of the one or more RNA sequences. The method can also include generating a composite biomarker score derived from the set of genomic metrics and the set of transcriptomic metrics. The method can also include determining, based on the composite biomarker score, a predicted level of responsiveness of the subject to a particular type of an immunotherapy treatment.

A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

A method for application of a deep learning neural network (NN) for predicting the probability distribution of a biological phenotype does not require any assumption or prior knowledge of the probability distributions. The NN may be a recurrent neural network (RNN) or a long short-term memory (LSTM) network. The NN includes a loss function, which is trained on limited observations, as low as one observation, which is obtained from a large data set related to a biological system. The NN with the trained loss function is capable of calculating if readings that are outside of the mean for the data set are inherent to the biological system or are outlier readings. The output of the method is a continuous probability distribution of the biological phenotypes for each input parameter or set of parameters from the biological data set.

A method for application of a deep learning neural network (NN) for predicting the probability distribution of a biological phenotype does not require any assumption or prior knowledge of the probability distributions. The NN may be a recurrent neural network (RNN) or a long short-term memory (LSTM) network. The NN includes a loss function, which is trained on limited observations, as low as one observation, which is obtained from a large data set related to a biological system. The NN with the trained loss function is capable of calculating if readings that are outside of the mean for the data set are inherent to the biological system or are outlier readings. The output of the method is a continuous probability distribution of the biological phenotypes for each input parameter or set of parameters from the biological data set.

A system and method are presented in which known genetic attributes associated with a condition are used to seed the determination of additional attributes which are associated with the condition. Based on the learning, the additional attributes (genetic, behavioral, or both) provide for an increased correlation between the combined attributes and the condition. For behavioral attributes, a measure of the impact of the behavioral attribute on the risk of the condition can be transmitted to another device or system.

A system and method are presented in which known genetic attributes associated with a condition are used to seed the determination of additional attributes which are associated with the condition. Based on the learning, the additional attributes (genetic, behavioral, or both) provide for an increased correlation between the combined attributes and the condition. For behavioral attributes, a measure of the impact of the behavioral attribute on the risk of the condition can be transmitted to another device or system.