In today’s show, we talk with Kyle Fahr, the VP and Distinguished Scientist leading Illumina’s Artificial Intelligence Lab.

"We lack a way of training genomics AI as readily as you would for natural language processing, says Fahr.  "There are vast amounts of data, but there are no labels, no supervision.  One of the most powerful tools that we’ve found is using clues from natural selection.

Fahr says the company began the AI lab seven years ago when deep learning took off. Two of the team’s AI algorithms, PrimateAI-3D and SpliceAI, published in Cell and Nature Genetics, were among the first examples of deep learning algorithms in genomics to become widely used by clinical labs and researchers in interpreting variants of unknown significance.  

We take a close look at Illumina’s work in AI and delve into the long-term impact of AI on genomics.

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