Drug discovery and early disease identification platform using electronic health records, genetics and stem cells

A method for identifying an agent that corrects a phenotype associated with a condition, comprising:

• receiving, a set of phenotypic-genomic sub-clusters that were output from a processor that had performed the following steps:
• receiving, at the processor, a set of structured health data comprising electronic health records of a set of patients each comprising at least one diagnostic code associated with the condition;
• processing, by the processor, the set of structured health data using a first algorithm to output a group of phenotypic clusters wherein each of the phenotypic clusters comprises a sub-set of the set of patients;
• receiving, at the processor, genetic data for the set of patients;
• processing, by the processor, the genetic data for a first phenotypic cluster of the group of phenotypic clusters using a second algorithm to output a set of phenotypic-genomic sub-clusters, wherein each of the phenotypic-genetic sub-cluster represents a subset of the patients of the first phenotypic cluster;
• and
• isolating cells from each of the patients in a first phenotypic-genomic sub-cluster of the set of phenotypic-genomic sub-clusters;
• differentiating the cells into one or more disease-affected cell types;
• assaying the disease-affected cells to identify a first disease phenotype associated with the condition;
• contacting the disease-affected cells with a candidate agent;
• assaying the disease-affected cells for the first disease phenotype after contacting the disease-affected cells with the candidate agent to determine whether the candidate agent corrected the phenotype;
• and
• identifying the candidate agent as a treat cluster if the candidate agent corrected the phenotype.

A method of identifying whether a medical record of a patient indicates a patient is likely to develop a genetic disease, the method comprising:

• receiving, at a processor, a set of structured health data comprising an electronic health record of a patient comprising at least one diagnostic code associated with the genetic condition, a set of additional diagnostic codes, and genetic data;
• processing, at the processor, the set of structured health data to determine whether the patient is a match for a phenotypic-genetic sub-cluster;
• and
• flagging, by the process, the patient record to indicate the patient is likely to develop the disease within a certain time window.

A method of preventing the onset of a dicomprising:

• receiving, at a processor, a set of structured health data comprising an electronic health record of a patient comprising at least one diagnostic code associated with the genetic condition, a set of additional diagnostic codes, and genetic data;
• processing, at the processor, the set of structured health data to determine whether the patient is a match for a phenotypic-genetic sub-cluster;
• flagging, by the process, the patient record to indicate the patient is likely to develop the disease within a certain time window;
• isolating cells from the patient;
• differentiating the cells into one or more disease-affected cell types;
• assaying the disease-affected cells to identify a first disease phenotype associated with the condition;
• contacting the disease-affected cells with a candidate agent;
• assaying the disease-affected cells for the first disease phenotype after contacting the disease-affected cells with the candidate agent to determine whether the candidate agent corrected the phenotype;
• identifying the candidate agent as a treatment for the first phenotypic-genomic sub-cluster if the candidate agent corrected the phenotype;
• and
• administering the candidate agent to the subject.