We are now in the 'era of human data,' a transformative opportunity for drug discovery and development. Going well beyond genetics, human data includes significant advances in computational techniques and multi-omics, which includes genomics, transcriptomics, and proteomics, plus a tsunami of real world data and real world evidence from electronic health records, insurance claims data bases and many other sources. Insights from human data will help us improve understanding of disease prediction, identify new targets as well as finding the right patient populations for the next generation of first-in class therapeutics.
How do we use human data when developing drugs?
Human data can help us identify biomarkers to better track disease prediction and progression, as well as improve clinical trials by finding patients who will benefit most from the medicines we are making.