Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using mathematical modelling to identify data requirements for increased
  prediction accuracy in radiotherapy   Longitudinal gross tumour volume (GTV) clinical data from head and neck
cancer patients show that tumours of a similar size and stage pre-treatment may
respond very differently to the same radiotherapy fractionation protocol.
Mathematical models of radiation response are often proposed as a means to
predict treatment outcome and prescribe more personalised fractionation
protocols. Predictive mathematical models aimed towards clinical applications
should be sufficiently detailed to capture the range of dynamics observed in
vivo while being sufficiently simple such that the model parameters are
identifiable with respect to the data typically available for model
calibration.
  In this paper we show that models describing the spatiotemporal heterogeneity
of the intratumoural composition may better capture observed in vivo dynamics
than those describing the evolution of the tumour volume alone. We compare the
range of qualitative responses with respect to GTV data throughout radiotherapy
treatment to those observed in a cohort of head and neck cancer patients.
Synthetic data studies are used to address questions of identifiability and
uncertainty quantification. Our results argue that, to develop accurate,
predictive mathematical models, there is a simultaneous need for more detailed
models (possibly incorporating some notion of tumour heterogeneity) along with
more sophisticated data metrics with which to inform such models.

34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
1
The categories of this paper are: cs
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics