Dynamic Games and Applications,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 14, 2024
Abstract
We
present
a
game-theoretic
model
of
polymorphic
cancer
cell
population
where
the
treatment-induced
resistance
is
quantitative
evolving
trait.
When
stabilization
tumor
burden
possible,
we
expand
into
Stackelberg
evolutionary
game,
physician
leader
and
cells
are
followers.
The
chooses
treatment
dose
to
maximize
an
objective
function
that
proxy
patient’s
quality
life.
In
response,
evolve
level
maximizes
their
proliferation
survival.
Assuming
in
its
ecological
equilibrium,
compare
outcomes
three
different
strategies:
giving
maximum
tolerable
throughout,
corresponding
standard
care
for
most
metastatic
cancers,
ecologically
enlightened
therapy,
anticipates
short-run,
response
treatment,
but
not
evolution
evolutionarily
both
consequences
treatment.
Of
therapeutic
strategies,
therapy
leads
highest
values
function,
lowest
dose,
resistance.
Conversely,
our
model,
worst
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
14(1), P. 355 - 355
Published: Dec. 30, 2023
Plasma
technology
shows
tremendous
potential
for
revolutionizing
oncology
research
and
treatment.
Reactive
oxygen
nitrogen
species
electromagnetic
emissions
generated
through
gas
plasma
jets
have
attracted
significant
attention
due
to
their
selective
cytotoxicity
towards
cancer
cells.
To
leverage
the
full
of
medicine,
researchers
explored
use
mathematical
models
various
subsets
or
approaches
within
machine
learning,
such
as
reinforcement
learning
deep
learning.
This
review
emphasizes
application
advanced
algorithms
in
adaptive
system,
paving
way
precision
dynamic
Realizing
techniques
medicine
requires
efforts,
data
sharing,
interdisciplinary
collaborations.
Unraveling
complex
mechanisms,
developing
real-time
diagnostics,
optimizing
will
be
crucial
harnessing
true
power
oncology.
The
integration
personalized
therapies,
alongside
AI
diagnostic
sensors,
presents
a
transformative
approach
treatment
with
improve
outcomes
globally.
npj Systems Biology and Applications,
Journal Year:
2022,
Volume and Issue:
8(1)
Published: Sept. 8, 2022
The
promise
of
precision
medicine
has
been
limited
by
the
pervasive
resistance
to
many
targeted
therapies
for
cancer.
Inferring
timing
(i.e.,
pre-existing
or
acquired)
and
mechanism
drug-induced)
such
is
crucial
designing
effective
new
therapeutics.
This
paper
studies
cetuximab
in
head
neck
squamous
cell
carcinoma
(HNSCC)
using
tumor
volume
data
obtained
from
patient-derived
xenografts.
We
ask
if
mechanisms
can
be
determined
this
alone,
not,
what
would
needed
deduce
underlying
mode(s)
resistance.
To
answer
these
questions,
we
propose
a
family
mathematical
models,
with
each
member
assuming
different
present
method
fitting
models
individual
volumetric
data,
utilize
model
selection
parameter
sensitivity
analyses
ask:
which
member(s)
best
describes
HNSCC
response
cetuximab,
does
that
tell
us
about
driving
resistance?
find
along
time-course
single
dose
initial
fraction
and,
some
instances,
escalation
are
required
distinguish
among
thereby
infer
These
findings
inform
future
experimental
design
so
leverage
synergy
wet
laboratory
experimentation
modeling
study
novel
cancer
Dynamic Games and Applications,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 14, 2024
Abstract
We
present
a
game-theoretic
model
of
polymorphic
cancer
cell
population
where
the
treatment-induced
resistance
is
quantitative
evolving
trait.
When
stabilization
tumor
burden
possible,
we
expand
into
Stackelberg
evolutionary
game,
physician
leader
and
cells
are
followers.
The
chooses
treatment
dose
to
maximize
an
objective
function
that
proxy
patient’s
quality
life.
In
response,
evolve
level
maximizes
their
proliferation
survival.
Assuming
in
its
ecological
equilibrium,
compare
outcomes
three
different
strategies:
giving
maximum
tolerable
throughout,
corresponding
standard
care
for
most
metastatic
cancers,
ecologically
enlightened
therapy,
anticipates
short-run,
response
treatment,
but
not
evolution
evolutionarily
both
consequences
treatment.
Of
therapeutic
strategies,
therapy
leads
highest
values
function,
lowest
dose,
resistance.
Conversely,
our
model,
worst
