Vassilis Gorgoulis, Konstantinos Vougas and colleagues recently published a study in Cell Reports

In the recently published Cell Reports, Vassilis G. Gorgoulis, Konstantinos Vougas and colleagues designed a machine learning workflow to predict drug response and survival of cancer patients. All pipelines were trained on a large panel of cancer cell lines and tested in clinical cohorts. Deep Neural Networks outperformed other machine learning algorithms and captured pathways that link gene expression with drug response.

A Deep Learning Framework for Predicting Response to Therapy in Cancer
Sakellaropoulos T, Vougas K, Narang S, Koinis F, Kotsinas A, Polyzos A, Moss TJ, Piha-Paul S, Zhou H, Kardala E, Damianidou E, Alexopoulos LG, Aifantis I, Townsend PA, Panayiotidis MI, Sfikakis P, Bartek J, Fitzgerald RC, Thanos D, Mills Shaw KR, Petty R, Tsirigos A, Gorgoulis VG.
Cell Rep. 2019 Dec 10;29(11):3367-3373.e4. doi: 10.1016/j.celrep.2019.11.017.

Pubmed

Cell Reports