Artificial intelligence techniques for cancer treatment planning
- 1 January 1988
- journal article
- research article
- Published by Taylor & Francis in Medical Informatics
- Vol. 13 (3) , 199-210
- https://doi.org/10.3109/14639238809010100
Abstract
An artificial intelligence system, NEWCHEM, for the development of new oncology therapies is described. This system takes into account the most recent advances in molecular and cellular biology and in cell-drug interaction, and aims to guide experimentation in the design of new optimal protocols. Further work is being carried out, aimed to embody in the system all the basic knowledge of biology, physiopathology and pharmacology, to reason qualitatively from first principles so as to be able to suggest cancer therapies.Keywords
This publication has 8 references indexed in Scilit:
- BREASTCAN: An expert system for postoperative breast cancer therapyComputers and Biomedical Research, 1986
- The role of frame-based representation in reasoningCommunications of the ACM, 1985
- Qualitative process theoryArtificial Intelligence, 1984
- Commonsense reasoning about causality: Deriving behavior from structureArtificial Intelligence, 1984
- A qualitative physics based on confluencesArtificial Intelligence, 1984
- Modeling to determine dose dependence of drug and cell kinetic parametersComputers and Biomedical Research, 1980
- Pharmaco-enzyme kinetic simulations of experimental interactions among multiple antineoplastic drugsBiochemical Pharmacology, 1979
- Mathematical approaches to optimization of cancer chemotherapyBulletin of Mathematical Biology, 1979