The rise of 'omics' methods and data-driven research presents new possibilities for discovery but also stimulates disagreement over how science should be conducted and even how it should be defined.

Modern AI technology is data-hungry. In many areas, data is scarce. For example, in our work in early oncology clinical trials, we only have data on about 20 patients, so we tend to use theory-based ...