Journal of Soft Computing Exploration,
Год журнала:
2024,
Номер
5(1), С. 74 - 79
Опубликована: Март 28, 2024
Diabetes
mellitus
is
a
prevalent
disease
in
society.
This
condition
results
from
various
causes,
such
as
lifestyle
choices
or
genetic
predisposition.
To
prevent
diabetes
mellitus,
blood
glucose
levels
must
be
monitored
periodically,
and
dietary
consumption
managed.
Blood
monitoring
still
uses
the
incision
minimally
invasive
approach.
approach
poses
risk
of
infection
damage.
study
devised
method
to
optimize
light
sensor
measure
levels.
optimization
an
integrated
Internet
Things
(IoT)
technology.
The
research
findings
demonstrate
that
use
strategy
leads
increased
consistency
values,
which
may
then
transmitted
wirelessly
through
IoT
network.
using
Abstract
Diabetes
significantly
impairs
the
body's
wound‐healing
capabilities,
leading
to
chronic,
infection‐prone
wounds.
These
wounds
are
characterized
by
hyperglycemia,
inflammation,
hypoxia,
variable
pH
levels,
increased
matrix
metalloproteinase
activity,
oxidative
stress,
and
bacterial
colonization.
complex
conditions
complicate
effective
wound
management,
prompting
development
of
advanced
diabetic
care
strategies
that
exploit
specific
characteristics
such
as
acidic
pH,
high
glucose
stress
trigger
controlled
drug
release,
thereby
enhancing
therapeutic
effects
dressings.
Among
solutions,
hydrogels
emerge
promising
due
their
stimuli‐responsive
nature,
making
them
highly
for
managing
these
The
latest
advancements
in
mono/multi‐stimuli‐responsive
smart
showcase
superiority
potential
healthcare
materials,
highlighted
relevant
case
studies.
However,
traditional
dressings
fall
short
meeting
nuanced
needs
wounds,
adjustable
adhesion,
easy
removal,
real‐time
status
monitoring,
dynamic
release
adjustment
according
wound's
conditions.
Responsive
represent
a
significant
leap
forward
proficient
sensing
responding
environment,
offering
more
targeted
approach
treatment.
This
review
highlights
recent
dressing,
delivery,
emphasizing
role
improving
healing.
It
addresses
ongoing
challenges
future
directions,
aiming
guide
clinical
adoption.
