Advances in machine learning (ML) and the availability of digitized healthcare data have contributed to a growing number of studies in ML applications for healthcare. In this talk, I will discuss our recent works on how ML leads to advancement in cancer detection, cancer grading, and survival prediction. These works have demonstrated the potential of ML not only to improve the accuracy and efficiency of high-quality care but also to discover novel signals.