AI-driven drug discovery platforms have been yielding impressive results. The first completely AI-driven drug is now in clinical trials and AI systems are being used to optimize the safety and efficacy of existing molecules. However, the performance of AI models remains limited by the amount of data they take in – the so-called data problem. Moreover, as AI models become more complex, their hunger for data becomes increasingly insatiable.
The problem may not last for long, however, as industry is finding ways to increase the amount of data available...