课题基金 / 基金详情

BIOMATHEMATICAL APPROACHES TO CANCER AND AIDS

BIOMATHEMATICAL APPROACHES TO CANCER AND AIDS
癌症和艾滋病的生物数学方法
批准号:
6315472
负责人:
SURESH H MOOLGAVKAR
金额:
$51.75万
依托单位国家:
美国
项目类别:
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-09-30 至 2002-09-29

项目摘要

项目成果

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中文摘要
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英文摘要
The central theme of this program project is the development of quantitative methods, based on biological mechanism, to address important problems in cancer and AIDS. To this end, biologically-based mathematical models will be developed, together with the requisite statistical methods and computational tools for the analysis of data using these models. The usefulness of the models will be demonstrated by analyses of substantial data sets. Three research projects are proposed. 1. Stochastic Models of Carcinogenesis with Applications to Analyses of Epidemiologic and Experimental Data. In this project stochastic models of carcinogenesis will be developed for analyses of time-to-tumor data in epidemiologic and experimental studies and for analyses of intermediate lesions on the pathway to cancer in initiation-promotion experiments. 2. Risk Prediction Models for Breast and other Cancers. In this project, risk prediction models, based on the natural history of the disease and incorporating both genetic and environmental factors, will be developed for breast and other cancers 3. Quantitative methods for Modelling HIV Infection Dynamics: In this project, deterministic and stochastic models will be developed for describing interactions between HIV and the immune system during the acute and early stages of infection.
期刊论文(16)
专著(0)
科研奖励(0)
会议论文
The role of promotion in carcinogenesis from protracted high-LET exposure.
长期高 LET 暴露在致癌作用中的促进作用。
DOI: --
发表时间: 2001
期刊: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB).
影响因子: --
作者: [Curtis,SB, Luebeck,EG, Hazelton,WD, Moolgavkar,SH]
通讯作者: Moolgavkar,SH
Early HIV infection in vivo: branching-process model for studying timing of immune responses and drug therapy.
体内早期艾滋病毒感染:用于研究免疫反应和药物治疗时机的分支过程模型。
DOI: 10.1016/s0025-5564(00)00013-4
发表时间: 2000
期刊: Mathematical biosciences
影响因子: 4.3
作者: [Wick,D, Self,SG]
通讯作者: Self,SG
The disappearing CD4(+)T cells in HIV infection: a case of over-stimulation?
HIV感染中CD4(+)T细胞的消失:过度刺激的案例?
DOI: 10.1006/jtbi.1998.0891
发表时间: 1999
期刊: Journal of theoretical biology.
影响因子: --
作者: [Wick,D]
通讯作者: Wick,D
On simulating strongly-interacting, stochastic population models.
关于模拟强相互作用、随机群体模型。
DOI: 10.1016/j.mbs.2003.09.001
发表时间: 2004
期刊: Mathematical biosciences
影响因子: 4.3
作者: [Wick,David, Self,StevenG]
通讯作者: Self,StevenG
11
    Lung Cancer in the US: Pathogenesis, Trends, Prevention
    Stochastic models for radiation carcinogenesis: tempora*
    Lung Cancer in the U.S.: Trends and Prevention
    Lung Cancer in the US: Pathogenesis, Trends, Prevention
    海外基金