With the advent of ChatGPT4, the use of artificial intelligence in medicine has absorbed the public's attention, dominated news headlines, and sparked vigorous debates about the promise and peril of medical AI.
But the potential of AI reaches far beyond the frontlines of medicine.
Zitnik, who is also an associate faculty member at the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University, discussed the growing role of AI in science and discovery. The capacity to develop autonomous knowledge can guide future discoveries embedded in past publications. For example, this could be the discovery of a molecule to treat Alzheimer's disease.
Another exciting possibility is the idea of human-in-the-loop AI-driven design, discovery, and evaluation. It would be possible to automate routine scientific workflows and combine actual experimentation in the physical world with virtual AI models and robotics. This would allow us to leverage predictions and conduct experiments in a high-throughput manner.