Quantifying the influence of combined lung and kidney support using a cardiovascular model and sensitivity analysis-informed parameter identification
Computers in Biology and Medicine,
Год журнала:
2025,
Номер
186, С. 109668 - 109668
Опубликована: Янв. 17, 2025
Язык: Английский
The Impact of Experimental Designs & System Sloppiness on the Personalisation Process: A Cardiovascular Perspective
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 10, 2024
Abstract
To
employ
a
reduced-order
cardiovascular
model
as
digital
twin
for
personalised
medicine,
it
is
essential
to
understand
how
uncertainties
in
the
model’s
input
parameters
affect
its
outputs.
The
aim
identify
set
of
that
can
serve
clinical
biomarkers,
providing
insight
into
patient’s
physiological
state.
Given
challenge
finding
useful
data,
careful
consideration
must
be
given
experimental
design
used
acquire
patient-specific
parameters.
In
this
paper,
we
conduct
first
quantification
system’s
sloppiness
elucidate
structure
parameter
space.
By
utilising
Sobol
indices
and
examining
various
synthetic
measures
with
increasing
invasiveness,
uncover
personalisation
process
are
contingent
upon
chosen
design.
Our
findings
reveal
continuous
induce
system
increase
number
personalisable
whereas
discrete
measurements
produce
non-sloppy
reduced
biomarkers.
This
study
underscores
necessity
available
data
differing
measurement
sets
significantly
impact
personalisation.
Author
Summary
computational
models
replicate
physical
systems
—
becoming
vital
tools
understanding
predicting
individual
health.
explores
models,
which
simulate
heart
circulatory
functions
from
metrics
may
derived.
These
provide
insights
health
treatment
planning.
A
key
building
these
addressing
“sloppiness,”
property
provides
response
surface
one
calibrates
searching
global
minimum
point,
position
space
best
represents
patients
order
personalise
different
types
compared
to.
We
examined
ranging
simple
blood
pressure
readings
detailed
invasive
waveform
results
show
biomarkers
but
make
more
complex
through
increased
sloppiness.
contrast,
simpler
reduce
simplifying
yield
fewer
analysing
designs
on
process,
our
work
offers
practical
improving
reliability
twins,
supporting
their
adoption
medicine.
Язык: Английский
Sensitivity analysis of closed-loop one-chamber and four-chamber models with baroreflex
PLoS Computational Biology,
Год журнала:
2024,
Номер
20(12), С. e1012377 - e1012377
Опубликована: Дек. 23, 2024
The
baroreflex
is
one
of
the
most
important
control
mechanisms
in
human
cardiovascular
system.
This
work
utilises
a
closed-loop
silico
model
regulation,
coupled
to
pulsatile
mechanical
models
with
(i)
heart
chamber
and
36-parameters
(ii)
four
chambers
51
parameters.
We
perform
first
global
sensitivity
analysis
these
systems
which
considers
both
parameters,
compare
their
respective
unregulated
equivalents.
Results
show
reduced
influence
regulated
parameters
compared
equivalents
that,
physiological
resting
state,
outputs
(pressures,
rate,
cardiac
output
etc.)
are
sensitive
parasympathetic
arc
provides
insight
into
effects
regulation
input
parameter
on
clinical
metrics,
constitutes
step
understanding
role
for
personalised
healthcare.
Язык: Английский