Artificial intelligence is another way of saying “really advanced computing”.
There are advanced computational tools that can help individuals in all phases of our lives. With your Siri assistant or your Google Assistant, you can do things by talking that you previously would have had to spend a lot longer time typing or entering on the phone.
It's the same in the case of rare diseases. These artificial intelligence methods can help patients undergoing therapies who need help with day-to-day tasks, which they can get artificial intelligence to do for them.
At the same time, artificial intelligence also forms the core of how we analyze these genomes. Having large numbers of genomes allows us to learn from these, to identify what changes in the genomes correspond to what clinical outcomes, and to identify why with two individuals with exactly the same genetic mutation, one may be playing soccer and the other is on a ventilator and unable to walk.
Having more and more patients, more and more data, are critical for artificial intelligence solutions, to learn the difference between those two patients and to be able to predict, for new patients, the most likely trajectory and the best intervention.