Modelling non-homogeneous stochastic reaction-diffusion systems: The case study of gemcitabine-treated non-small cell lung cancer growth

BMC Bioinformatics

Volumn 13, Issue SUPPL 1, 2012, Pages

  Lecca, Paola ^a   Morpurgo, Daniele ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EXPERIMENTAL INVESTIGATIONS; FIRST ORDER DIFFERENTIAL EQUATION; MATHEMATICAL FRAMEWORKS; NON SMALL CELL LUNG CANCER; PHARMACOLOGICAL TREATMENT; REACTION DIFFUSION SYSTEMS; REACTION-DIFFUSION MODELS; STOCHASTIC REACTION-DIFFUSION SYSTEMS;

BIOLOGICAL ORGANS; CELL PROLIFERATION; CELLS; CHEMOTHERAPY; COMPUTER SIMULATION; CYTOLOGY; DIFFERENTIAL EQUATIONS; DIFFUSION IN LIQUIDS; DISEASES; DRUG INTERACTIONS; DYNAMIC MODELS; FICK'S LAWS; GLUCOSE; MOLECULAR STRUCTURE; NUTRIENTS; OXYGEN; SPECIFICATIONS; STOCHASTIC SYSTEMS; TUMORS;

STOCHASTIC MODELS;

DEOXYCYTIDINE; DRUG DERIVATIVE; GEMCITABINE;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; DIFFUSION; HUMAN; LUNG NON SMALL CELL CANCER; LUNG TUMOR; PATHOLOGY; VISCOSITY;

ALGORITHMS; CARCINOMA, NON-SMALL-CELL LUNG; DEOXYCYTIDINE; DIFFUSION; HUMANS; LUNG NEOPLASMS; MODELS, BIOLOGICAL; VISCOSITY;

EID: 84875022134     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-13-S14-S14     Document Type: Article

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