%0 Journal Article
%T Artificial intelligence for precision oncology: beyond patient stratification
%J -
%D 2019
%R https://doi.org/10.1038/s41698-019-0078-1
%X The data-driven identification of disease states and treatment options is a crucial challenge for precision oncology. Artificial intelligence (AI) offers unique opportunities for enhancing such predictive capabilities in the lab and the clinic. AI, including its best-known branch of research, machine learning, has significant potential to enable precision oncology well beyond relatively well-known pattern recognition applications, such as the supervised classification of single-source omics or imaging datasets. This perspective highlights key advances and challenges in that direction. Furthermore, it argues that AI¡¯s scope and depth of research need to be expanded to achieve ground-breaking progress in precision oncology
%U https://www.nature.com/articles/s41698-019-0078-1