Literature DB >> 2472204

Artificial intelligence techniques for the control of cancer cells.

C Nicolini1, S Gaglio, C Ruggiero.   

Abstract

NEWCHEM, an artificial intelligence system for the control of cancer cell growth, is described. This system takes into account the most recent advances in molecular and cellular biology and in cell-drug interaction, and aims to develop optimal strategies for the selective control of cancer cell through qualitative reasoning from first principles at cellular level.

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Year:  1989        PMID: 2472204     DOI: 10.1007/BF02797129

Source DB:  PubMed          Journal:  Cell Biophys        ISSN: 0163-4992


  6 in total

1.  The principles and methods of cell synchronization in cancer chemotherapy.

Authors:  C Nicolini
Journal:  Biochim Biophys Acta       Date:  1976-10-12

2.  Artificial intelligence techniques for cancer treatment planning.

Authors:  E Ardizzone; F Bonadonna; S Gaglio; R Marcenò; C Nicolini; C Ruggiero; F Sorbello
Journal:  Med Inform (Lond)       Date:  1988 Jul-Sep

3.  Mathematical approaches to optimization of cancer chemotherapy.

Authors:  S Zietz; C Nicolini
Journal:  Bull Math Biol       Date:  1979       Impact factor: 1.758

4.  Pharmaco-enzyme kinetic simulations of experimental interactions among multiple antineoplastic drugs.

Authors:  C A Nicolini; A Belmont; M Grattarola; C Moore; E Milgram
Journal:  Biochem Pharmacol       Date:  1979-10-01       Impact factor: 5.858

5.  Modeling to determine dose dependence of drug and cell kinetic parameters.

Authors:  S Zietz; C Desaive; M Grattarola; C Nicolini
Journal:  Comput Biomed Res       Date:  1980-06

6.  BREASTCAN: an expert system for postoperative breast cancer therapy.

Authors:  S Gaglio; C Ruggiero; G Spinelli; G Bonadonna; P Valagussa; C Nicolini
Journal:  Comput Biomed Res       Date:  1986-10
  6 in total
  2 in total

1.  Qualitative modelling of the response of cytoskeletal actin filaments in endothelial cells subjected to shear stress.

Authors:  C Ruggiero; M Giacomini; P Rolfe
Journal:  Med Biol Eng Comput       Date:  1999-09       Impact factor: 2.602

Review 2.  Artificial intelligence in medicine and male infertility.

Authors:  D J Lamb; C S Niederberger
Journal:  World J Urol       Date:  1993       Impact factor: 4.226

  2 in total

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