Computers & Industrial Engineering,
Год журнала:
2024,
Номер
191, С. 110078 - 110078
Опубликована: Март 24, 2024
Cancer
is
a
leading
cause
of
death
and
cost
burden
on
healthcare
systems
worldwide.
The
mainstay
treatment
chemotherapy
which
most
often
administered
empirically.
Optimizing
the
frequency
drug
administration
would
benefit
patients
by
avoiding
overtreatment
reducing
costs.
In
this
work,
optimization
regimens
using
mathematical
programming
techniques
demonstrated
developing
simple
model
for
fictitious
drug.
question
to
be
answered
solution
how
should
so
that
tumor
size
does
not
exceed
predefined
reaches
minimum
value.
proposed
computer-implemented
well-established
system,
thus
keeping
effort
obtaining
results
low.
An
example
used
demonstrate
superiority
approach
over
approach.
Adaptive
therapy
is
a
dynamic
cancer
treatment
protocol
that
updates
(or
‘adapts’)
decisions
in
anticipation
of
evolving
tumor
dynamics.
This
broad
term
encompasses
many
possible
protocols
patient-specific
dose
modulation
or
timing.
maintains
high
levels
burden
to
benefit
from
the
competitive
suppression
treatment-sensitive
subpopulations
on
treatment-resistant
subpopulations.
evolution-based
approach
has
been
integrated
into
several
ongoing
planned
clinical
trials,
including
metastatic
castrate
resistant
prostate
cancer,
ovarian
and
BRAF-mutant
melanoma.
In
previous
few
decades,
experimental
investigation
adaptive
progressed
synergistically
with
mathematical
computational
modeling.
this
work,
we
discuss
11
open
questions
The
are
split
three
sections:
(1)
integrating
appropriate
components
models
(2)
design
validation
dosing
protocols,
(3)
challenges
opportunities
translation.
Trends in Sciences,
Год журнала:
2024,
Номер
21(8), С. 8287 - 8287
Опубликована: Июнь 1, 2024
The
spread
of
infectious
diseases
such
as
COVID-19
depends
on
complex
fluid
dynamics
interactions
between
pathogens
and
phases,
including
individual
droplets
multiphase
clouds.
Understanding
these
is
crucial
for
predicting
controlling
disease
spread.
This
applies
to
human
animal
exhalations,
coughs
sneezes,
well
bursting
bubbles
that
create
micron-sized
in
various
indoor
outdoor
environments.
By
exploring
case
studies
this
regard,
study
examines
the
emerging
field
transmission,
focusing
flows,
interfacial
turbulence,
pathogens,
traffic,
aerosol
ventilation,
breathing
microenvironments.
These
results
indicate
increased
ventilation
rates
local
methods
can
effectively
reduce
concentration
SARS-CoV-2-laden
aerosols
immediate
spaces
individuals.
In
a
displacement-ventilated
room,
both
neutral
unstable
conditions
were
more
effective
removing
breathed
from
air,
regardless
presence
test
subjects.
However,
stable
may
increase
risk
infection
individuals
living
confined
spaces.
Thus,
findings
are
useful
providing
practical
guidance
managing
airborne
infections.
HIGHLIGHTS
Fluid
affect
transmission
explored
flow,
dispersion,
respiratory
zones
Increased
SARS-CoV-2
Displacement
eliminates
under
Cramped
damp
environments
GRAPHICAL
ABSTRACT
Nature Communications,
Год журнала:
2020,
Номер
11(1)
Опубликована: Апрель 9, 2020
Abstract
Intermittent
androgen
deprivation
therapy
(IADT)
is
an
attractive
treatment
for
biochemically
recurrent
prostate
cancer
(PCa),
whereby
cycling
on
and
off
can
reduce
cumulative
dose
limit
toxicities.
We
simulate
prostate-specific
antigen
(PSA)
dynamics,
with
enrichment
of
PCa
stem-like
cell
(PCaSC)
during
as
a
plausible
mechanism
resistance
evolution.
Simulated
PCaSC
proliferation
patterns
correlate
longitudinal
serum
PSA
measurements
in
70
patients.
Learning
dynamics
from
each
cycle
leave-one-out
study,
model
simulations
predict
patient-specific
evolution
overall
accuracy
89%
(sensitivity
=
73%,
specificity
91%).
Previous
studies
have
shown
benefit
concurrent
therapies
ADT
both
low-
high-volume
metastatic
hormone-sensitive
PCa.
Model
based
response
the
first
IADT
identify
patients
who
would
docetaxel,
demonstrating
feasibility
potential
value
adaptive
clinical
trials
guided
by
mathematical
models
intratumoral
evolutionary
dynamics.
PLoS Computational Biology,
Год журнала:
2022,
Номер
18(2), С. e1009822 - e1009822
Опубликована: Фев. 4, 2022
Classical
mathematical
models
of
tumor
growth
have
shaped
our
understanding
cancer
and
broad
practical
implications
for
treatment
scheduling
dosage.
However,
even
the
simplest
textbook
been
barely
validated
in
real
world-data
human
patients.
In
this
study,
we
fitted
a
range
differential
equation
to
volume
measurements
patients
undergoing
chemotherapy
or
immunotherapy
solid
tumors.
We
used
large
dataset
1472
with
three
more
per
target
lesion,
which
652
had
six
data
points.
show
that
early
response
shows
only
moderate
correlation
final
response,
demonstrating
need
nuanced
models.
then
perform
head-to-head
comparison
classical
are
widely
field:
Exponential,
Logistic,
Classic
Bertalanffy,
General
Gompertz
model.
Several
provide
good
fit
measurements,
model
providing
best
balance
between
goodness
number
parameters.
Similarly,
when
fitting
data,
general
Bertalanffy
yield
lowest
mean
absolute
error
forecasted
indicating
these
could
potentially
be
effective
at
predicting
outcome.
summary,
quantitative
benchmark
state-of-the
art
growth.
publicly
release
an
anonymized
version
original
first
set
evaluation
Annals of Oncology,
Год журнала:
2023,
Номер
34(10), С. 867 - 884
Опубликована: Сен. 28, 2023
Cancer
research
has
traditionally
focused
on
developing
new
agents,
but
an
underexplored
question
is
that
of
the
dose
and
frequency
existing
drugs.
Based
modus
operandi
established
in
early
days
chemotherapies,
most
drugs
are
administered
according
to
predetermined
schedules
seek
deliver
maximum
tolerated
only
adjusted
for
toxicity.
However,
we
believe
complex,
evolving
nature
cancer
requires
a
more
dynamic
personalized
approach.
Chronicling
milestones
field,
show
impact
schedule
choice
crucially
depends
processes
driving
treatment
response
failure.
As
such,
heterogeneity
evolution
dictate
one-size-fits-all
solution
unlikely-instead,
each
patient
should
be
mapped
strategy
best
matches
their
current
disease
characteristics
objectives
(i.e.
'tumorscape').
To
achieve
this
level
personalization,
need
mathematical
modeling.
In
perspective,
propose
five-step
'Adaptive
Dosing
Adjusted
Personalized
Tumorscapes
(ADAPT)'
paradigm
integrate
data
understanding
across
scales
derive
schedules.
We
conclude
with
promising
examples
model-guided
personalization
call
action
address
key
outstanding
challenges
surrounding
collection,
model
development,
integration.
npj Systems Biology and Applications,
Год журнала:
2024,
Номер
10(1)
Опубликована: Июль 5, 2024
Abstract
This
article
reviews
the
current
knowledge
and
recent
advancements
in
computational
modeling
of
cell
cycle.
It
offers
a
comparative
analysis
various
paradigms,
highlighting
their
unique
strengths,
limitations,
applications.
Specifically,
compares
deterministic
stochastic
models,
single-cell
versus
population
mechanistic
abstract
models.
detailed
helps
determine
most
suitable
framework
for
research
needs.
Additionally,
discussion
extends
to
utilization
these
models
illuminate
cycle
dynamics,
with
particular
focus
on
viability,
crosstalk
signaling
pathways,
tumor
microenvironment,
DNA
replication,
repair
mechanisms,
underscoring
critical
roles
progression
optimization
cancer
therapies.
By
applying
crucial
aspects
therapy
planning
better
outcomes,
including
drug
efficacy
quantification,
discovery,
resistance
analysis,
dose
optimization,
review
highlights
significant
potential
insights
enhancing
precision
effectiveness
treatments.
emphasis
intricate
relationship
between
therapeutic
strategy
development
underscores
pivotal
role
advanced
techniques
navigating
complexities
dynamics
implications
therapy.
Frontiers in Digital Health,
Год журнала:
2024,
Номер
6
Опубликована: Март 7, 2024
A
fundamental
challenge
for
personalized
medicine
is
to
capture
enough
of
the
complexity
an
individual
patient
determine
optimal
way
keep
them
healthy
or
restore
their
health.
This
will
require
computational
models
sufficient
resolution
and
with
mechanistic
information
provide
actionable
clinician.
Such
are
increasingly
referred
as
medical
digital
twins.
Digital
twin
technology
health
applications
still
in
its
infancy,
extensive
research
development
required.
article
focuses
on
several
projects
different
stages
that
can
lead
specific-and
practical-medical
twins
modeling
platforms.
It
emerged
from
a
two-day
forum
problems
related
twins,
particularly
those
involving
immune
system
component.
Open
access
video
recordings
discussions
available.
Journal of Computational Science,
Год журнала:
2020,
Номер
46, С. 101198 - 101198
Опубликована: Авг. 12, 2020
Cancer
is
still
one
of
the
major
causes
death
worldwide.
Even
if
its
comprehension
improving
continuously,
complexity
and
heterogeneity
this
group
diseases
invariably
make
some
cancer
cases
incurable
lethal.
By
focusing
only
on
or
two
cancerous
molecular
species
simultaneously,
traditional
in
vitro
vivo
approaches
do
not
provide
a
global
view
disease
are
sometimes
unable
to
generate
significant
insights
about
cancer.
In
silico
techniques
increasingly
used
oncology
domain
for
their
remarkable
integration
capacity.
basic
research,
vast
number
mathematical
computational
models
has
been
implemented
past
decades,
allowing
better
understanding
these
complex
diseases,
generating
new
hypotheses
predictions,
guiding
scientists
towards
most
impactful
experiments.
Although
clinical
uptake
such
limited,
treatment
strategies
currently
under
investigation
phase
I
II
trials.
Besides
being
responsible
therapeutic
ideas,
could
play
role
optimizing
trial
design
patient
stratification.
This
review
provides
non-exhaustive
overview
according
intrinsic
features.
contributions
science
discussed,
using
hallmarks
as
guidance.
Subsequently,
models,
that
part
ongoing
trials,
addressed.
forward-looking
section,
issues
need
adequate
regulatory
processes
related
advances
model
technologies
discussed.
International Journal of Radiation Oncology*Biology*Physics,
Год журнала:
2021,
Номер
111(3), С. 693 - 704
Опубликована: Июнь 5, 2021
PurposeTo
model
and
predict
individual
patient
responses
to
radiation
therapy.Methods
MaterialsWe
modeled
tumor
dynamics
as
logistic
growth
the
effect
of
a
reduction
in
carrying
capacity,
motivated
by
on
microenvironment.
The
was
assessed
weekly
volume
data
collected
for
2
independent
cohorts
patients
with
head
neck
cancer
from
H.
Lee
Moffitt
Cancer
Center
(MCC)
MD
Anderson
(MDACC)
who
received
66
70
Gy
standard
daily
fractions
or
accelerated
fractionation.
To
response
therapy
patients,
we
developed
new
forecasting
framework
that
combined
learned
rate
capacity
fraction
(δ)
distribution
measurements
given
test
estimate
δ,
which
used
patient-specific
outcomes.ResultsThe
fit
MCC
high
accuracy
δ
fixed
across
all
patients.
an
cohort
MDACC
comparable
using
cohort,
showing
transferability
rate.
predicted
outcomes
76%
sensitivity
83%
specificity
locoregional
control
68%
85%
disease-free
survival
inclusion
4
on-treatment
measurements.ConclusionsThese
results
demonstrate
our
simple
mathematical
can
describe
variety
dynamics.
Furthermore,
combining
historically
observed
few
allowed
accurate
prediction
outcomes,
may
inform
treatment
adaptation
personalization.
therapy.
We
outcomes.
measurements.
These