Precision medicine tailors disease prevention or treatment to patient-specific information, including genetics, environment, lifestyle, and clinical history. section 4.4
A practical precision-medicine pipeline integrates:
- Patient data from electronic health records with genomics, proteomics, transcriptomics, and other multi-omics datasets. section 4.4
- Biomedical knowledge graphs whose nodes represent patients, drugs, and diseases and whose edges encode diagnoses, treatments, and associations. section 4.1 section 4.4
- Queries and analyses that support diagnosis, treatment selection, drug repurposing, and safer-drug recommendations. section 4.1
Figure 4.1 The primary types of biomedical applications for KGs, grouped by business goal. They have many data sources in common.
Use the application map to relate precision medicine to shared biomedical data sources, graph entities, and other knowledge-graph goals. section 4.1
