The Shift Has Started
AI is quickly turning things upside down.
“In China, over the last four years, many factories have replaced human workers with robots, where you have 100% robotic factories. Many electronic devices, like smart phones and laptops, are assembled using robots,” Dr. Zhavoronkov says.
Driverless cars are possible thanks to AI.
“If you think about it, a few years ago, this technology wasn’t available and already you have the driverless technology,” he says.
In the next 10 years, Dr. Zhavoronkov predicts many doctors will be replaced by AI. The shift has started. Today, for example, deep neural networks can outperform humans in the interpretation of MRI, CT scans and ultrasound imaging, he says.
“The nutraceutical [line] that we launched is part of the experiment. It’s one of the ways to validate artificial intelligence on a population level,” he says.
Dr. Zhavoronkov says that 80% of Insilico’s focus now is on developing “generative adversarial networks,” which is another kind of AI, where two deep neural networks compete with each other and in the process they start imagining things.
“Now you can describe a picture to an artificial intelligence system, and it will create this picture for you. It will imagine it. It will not find it in Google or try to search for it; it will imagine it,” he says. “We’re creating molecules like that. You can describe the various properties of a molecule — like the ability to cross the blood brain barrier or penetrate to a certain depth in skin. And we give it a molecular target for a specific disease, for example. And the system will generate the molecule for you. Essentially, we’ll want to do personalized drug discovery. You’ll be able to synthesize those in your home in the next maybe five to 10 years. Right now, we are doing it for the pharmaceutical companies.”
Big pharma, he says, is using those molecules in in vitro and in vivo screenings; then taking them to human trials.