Personalized oncology with artificial intelligence: The case of temozolomide.

Journal: Artificial intelligence in medicine

PMID: 31606107

Abstract

PURPOSE: Using artificial intelligence techniques, we compute optimal personalized protocols for temozolomide administration in a population of patients with variability.

Authors

Nicolas Houy

University of Lyon, Lyon, F-69007, France; CNRS, GATE Lyon Saint-Etienne, F-69130, France.
François Le Grand

emlyon business school, Écully, F-69130, France; ETH Zurich, Zurich, CH-8092, Switzerland.

Keywords

Algorithms Artificial Intelligence Bayes Theorem Brain Neoplasms Computer Simulation Dose-Response Relationship, Drug Humans Maximum Tolerated Dose Models, Biological Temozolomide Tumor Burden

External Resources

View on PubMed Access via DOI PubMed (31606107)

Personalized oncology with artificial intelligence: The case of temozolomide.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals