Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology.

ABSTRACT:

Background

Individualization and patient-specific optimization of treatment is a major goal of modern health care. One way to achieve this goal is the application of high-resolution diagnostics together with the application of targeted therapies. However, the rising number of different treatment modalities also induces new challenges: Whereas randomized clinical trials focus on proving average treatment effects in specific groups of patients, direct conclusions at the individual patient level are problematic. Thus, the identification of the best patient-specific treatment options remains an open question. Systems medicine, specifically mechanistic mathematical models, can substantially support individual treatment optimization. In addition to providing a better general understandin

SUBMITTER: Hoffmann K 

PROVIDER: S-EPMC7011438 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature