AI POLICY
Clinical Genomics
Uncover hidden patterns to benefit disease research and CRISPR genomic tools
With increasing complexity in genomic data, we help identify meaningful patterns for healthcare and research
Why the need for AI/ML in genomics?
The Human Genome Project, completed in 2003, covered about 92% of the total human genome sequence. The final, complete human genome sequence was described in a set of six papers in the April 1, 2022, issue of Science. Companion papers were also published in several other journals.
This milestone has led to the generation of an extraordinary amount of genomic data. Estimates predict that genomics research will generate between 2 and 40 exabytes of data within the next decade. DNA sequencing and other biological techniques will continue to increase the number and complexity of such data sets. This is why genomics researchers need AI/ML-based computational tools that can handle, extract and interpret the valuable information hidden within this large trove of data.