Artificial intelligence in cancer therapy-Reference-Cited by-同舟云学术

Artificial intelligence in cancer therapy

Published:2020-02-28 Issue:6481 Volume:367 Page:982-983
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Ho Dean¹

Affiliation:

1. The N.1 Institute for Health (N.1), Institute for Digital Medicine (WisDM), Department of Biomedical Engineering, and Department of Pharmacology, National University of Singapore, Singapore.

Abstract

Artificial intelligence can optimize cancer drug discovery, development, and administration

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference15 articles.

1. Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

2. Deep learning enables rapid identification of potent DDR1 kinase inhibitors

3. Off-target toxicity is a common mechanism of action of cancer drugs undergoing clinical trials

4. Combination Cancer Therapy Can Confer Benefit via Patient-to-Patient Variability without Drug Additivity or Synergy

5. Optimizing drug combinations against multiple myeloma using a quadratic phenotypic optimization platform (QPOP)

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