Improving Cancer Treatment via Mathematical Modeling: Surmounting the Challenges Is Worth the Effort | Zendy

Franziska Michor | Zendy; Kathryn Beal | Zendy

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Improving Cancer Treatment via Mathematical Modeling: Surmounting the Challenges Is Worth the Effort

Author(s) -

Franziska Michor,

Kathryn Beal

Publication year - 2015

Publication title -

cell

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 26.304

H-Index - 776

eISSN - 1097-4172

pISSN - 0092-8674

DOI - 10.1016/j.cell.2015.11.002

Subject(s) - biology , cancer , cancer drugs , cancer treatment , population , key (lock) , field (mathematics) , drug administration , risk analysis (engineering) , computational biology , management science , bioinformatics , pharmacology , engineering , ecology , genetics , environmental health , medicine , mathematics , pure mathematics

Drug delivery schedules are key factors in the efficacy of cancer therapies, and mathematical modeling of population dynamics and treatment responses can be applied to identify better drug administration regimes as well as provide mechanistic insights. To capitalize on the promise of this approach, the cancer field must meet the challenges of moving this type of work into clinics.

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