Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy

Back to the future - The integration of big data with machine learning is re-establishing the importance of predictive correlations in ovarian cancer diagnostics and therapeutics

(2018) John F. McDonald   GYNECOLOGIC ONCOLOGY

Open source machine-learning algorithms for the prediction of optimal cancer drug therapies

(2017) Cai Huang et al.   PLoS One

Toward a Better Understanding of the Complexity of Cancer Drug Resistance

(2016) Michael M. Gottesman et al.   Annual Review of Pharmacology and Toxicology

Personalised cancer care: promises and challenges of targeted therapy

(2016) Shi-Ming Tu et al.   JOURNAL OF THE ROYAL SOCIETY OF MEDICINE

Precision oncology: origins, optimism, and potential

(2016) Vinay Prasad et al.   LANCET ONCOLOGY

Identifying Predictive Features in Drug Response Using Machine Learning: Opportunities and Challenges

(2015) Mathukumalli Vidyasagar   Annual Review of Pharmacology and Toxicology

The World's Technological Capacity to Store, Communicate, and Compute Information

(2011) M. Hilbert et al.   SCIENCE