The worst drug rule revisited: mathematical modeling of cyclic cancer treatments.
about
Evolutionary dynamics of cancer in response to targeted combination therapyOptimal treatment and stochastic modeling of heterogeneous tumorsIn silico modelling of treatment-induced tumour cell kill: developments and advancesSteering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic ResistanceEvolution of acquired resistance to anti-cancer therapy.What Tumor Dynamics Modeling Can Teach us About Exploiting the Stem-Cell View for Better Cancer Treatment.Improving Cancer Treatment via Mathematical Modeling: Surmounting the Challenges Is Worth the EffortCancer: calculated treatment.Modeling the role of altruism of antibiotic-resistant bacteria.Pharmacokinetics and Drug Interactions Determine Optimum Combination Strategies in Computational Models of Cancer Evolution.
P2860
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P2860
The worst drug rule revisited: mathematical modeling of cyclic cancer treatments.
description
2010 nî lūn-bûn
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2010年の論文
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2010年学术文章
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2010年学术文章
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2010年学术文章
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2010年学术文章
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2010年学术文章
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name
The worst drug rule revisited: mathematical modeling of cyclic cancer treatments.
@en
The worst drug rule revisited: mathematical modeling of cyclic cancer treatments.
@nl
type
label
The worst drug rule revisited: mathematical modeling of cyclic cancer treatments.
@en
The worst drug rule revisited: mathematical modeling of cyclic cancer treatments.
@nl
prefLabel
The worst drug rule revisited: mathematical modeling of cyclic cancer treatments.
@en
The worst drug rule revisited: mathematical modeling of cyclic cancer treatments.
@nl
P2860
P1476
The worst drug rule revisited: mathematical modeling of cyclic cancer treatments.
@en
P2093
Allen A Katouli
Natalia L Komarova
P2860
P2888
P304
P356
10.1007/S11538-010-9539-Y
P577
2010-04-16T00:00:00Z