Systems and methods for health analysis based on pharmacological genomics and / or microbiome

Abstract

The health analysis method comprises obtaining test data from a patient sample, cleaning the test data by removing data items irrelevant to the health analysis, obtaining statistics from the cleaned test data, and obtaining analysis results for one or more genes and / or species of the patient sample using one or more artificial intelligence (AI) methods based on the obtained statistics from the cleaned test data and the statistics from the health data.

Claims

1. A method for analyzing health, Obtaining test data from patient samples, The aforementioned test data is cleaned by removing data items unrelated to the aforementioned health analysis, To obtain statistics on the cleaned inspection data, Based on the statistics obtained from the cleaned test data and the statistics from the health data, one or more artificial intelligence (AI) methods are used to obtain the results of an analysis of one or more genes and / or species of the patient's sample. A health analysis method that includes this.

2. The health analysis method according to claim 1, further comprising collecting the inspection data using one or more sensors.

3. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A health analysis method according to claim 1 or 2, comprising using a machine learning method to identify the characteristics of one or more genes and / or to analyze the genetic data of the test data to identify patterns or relationships between different gene markers.

4. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A method for analyzing health according to any one of claims 1 to 3, comprising using a random forest method which involves constructing multiple decision trees and taking a majority vote of them for classification.

5. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A health analysis method according to any one of claims 1 to 4, comprising using a regression method to predict the expression of one or more genes.

6. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A method for analyzing health according to any one of claims 1 to 5, comprising using a clustering method for grouping individuals based on their genetic similarities.

7. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A health analysis method according to any one of claims 1 to 6, comprising using the Maximum Relevance Minimum Redundancy (MRMR) method to select a set of features for minimum redundancy and maximum relevance with respect to a target variable.

8. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A health analysis method according to any one of claims 1 to 7, comprising using a deep learning method to analyze the dataset of the aforementioned test data and identify features and / or patterns.

9. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A health analysis method according to any one of claims 1 to 7, comprising using a convolutional neural network (CNN) to recognize a pattern in gene expression data of the test data in order to identify one of the one or more genes related to environmental conditions.

10. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A health analysis method according to any one of claims 1 to 9, comprising using a reinforcement learning method to optimize a gene dataset by identifying beneficial genetic features.

11. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A health analysis method according to any one of claims 1 to 9, comprising using a reinforcement learning method to select gene markers that are beneficial to a population while minimizing the number of gene markers required for prediction.

12. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A health analysis method according to any one of claims 1 to 11, comprising using genetic techniques to optimize a gene dataset by iteratively testing and refining different combinations of gene markers.

13. Obtaining the results of the analysis of one or more genes and / or species of the patient's sample is, A health analysis method according to any one of claims 1 to 11, comprising using a genetic technique to identify an optimal set of gene markers for predicting the risk of a particular disease or symptom.

14. Cleaning the aforementioned test data is A health analysis method according to any one of claims 1 to 13, comprising cleaning the test data using one or more gene panels related to the health analysis.

15. Obtaining the statistics of the cleaned inspection data is, A health analysis method according to any one of claims 1 to 14, comprising obtaining the standard deviation and / or variance of the cleaned test data.

16. Obtaining the standard deviation and / or variance of the cleaned test data for the health data is, A health analysis method according to any one of claims 1 to 15, comprising obtaining the actual reads, estimated reads, and standard deviations and / or variances of the abundance of one or more genes from the cleaned test data.

17. Obtaining the results of the analysis of one or more genes and / or species mentioned above is, A health analysis method according to any one of claims 1 to 16, comprising using one or more AI models to obtain an analysis result regarding the similarity between the cleaned test data and health data, and / or a ranking of one or more genes or bacteria based on the obtained statistics.

18. Automatically monitoring development in one or more research areas, Automatically notifying patients and / or healthcare professionals of changes in the function of one or more of the aforementioned genes and / or changes in the ranking of one or more of the aforementioned genes, A method for analyzing health according to any one of claims 1 to 17, further comprising:

19. A health analysis method according to any one of claims 1 to 18, further comprising using the results of the analysis of one or more genes and / or species of the acquired patient sample to determine one or more diseases of the patient.

20. A health analysis method according to any one of claims 1 to 19, further comprising using the results of the analysis of one or more genes and / or species of the acquired patient sample to analyze and / or monitor the patient's response to a drug.

21. One or more non-temporary computer-readable storage devices, each equipped with a computer-executable instruction, wherein, when the instruction is executed, it causes a processing structure to carry out the method described in any one of claims 1 to 20.

22. One or more processors functionally coupled to one or more non-temporary computer-readable storage devices, wherein the one or more non-temporary computer-readable storage devices include computer-executable instructions, and when executed, the instructions cause the one or more processors to perform the method according to any one of claims 1 to 20.

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