Journal
GENES
Volume 10, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/genes10010018
Keywords
artificial intelligence; genotype; phenotype; deep phenotype; data integration; genomics; phenomics; precision medicine informatics
Categories
Funding
- National Institutes of Health (NIH) [U54-MD010706]
- Health Equity and Rural Outreach Innovation Center grant [CIN 13-418]
Ask authors/readers for more resources
The integration of phenotypes and genotypes is at an unprecedented level and offers new opportunities to establish deep phenotypes. There are a number of challenges to overcome, specifically, accelerated growth of data, data silos, incompleteness, inaccuracies, and heterogeneity within and across data sources. This perspective report discusses artificial intelligence (AI) approaches that hold promise in addressing these challenges by automating computable phenotypes and integrating them with genotypes. Collaborations between biomedical and AI researchers will be highlighted in order to describe initial successes with an eye toward the future.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available