Navigating the Frontier: Emerging Techniques for Detecting Microvascular Complications in Type 2 Diabetes Mellitus: A Comprehensive Review
Sarang S Raut,
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Sourya Acharya,
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Vinit Deolikar
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et al.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 31, 2024
This
review
comprehensively
explores
emerging
techniques
for
detecting
microvascular
complications
in
Type
2
Diabetes
Mellitus
(T2DM),
addressing
the
critical
need
advancements
early
detection
and
management.
As
T2DM
continues
to
rise
globally,
complications,
including
retinopathy,
nephropathy,
neuropathy,
contribute
significantly
morbidity
mortality
associated
with
condition.
The
synthesizes
key
findings,
revealing
various
technologies,
from
advanced
imaging
modalities
genomic
proteomic
approaches.
It
underscores
potential
personalized
medicine,
emphasizing
importance
of
tailoring
diagnostic
strategies
individual
patient
profiles.
Challenges,
lack
standardized
criteria
issues
related
adherence,
highlight
necessity
collaborative
efforts.
conclusion
a
call
action,
advocating
enhanced
collaboration,
increased
research
investment,
empowerment
through
education,
seamless
integration
into
routine
clinical
care.
envisions
transformative
shift
managing
T2DM,
ultimately
improving
outcomes
contributing
healthier
future
individuals
affected
by
this
prevalent
metabolic
disorder.
Language: Английский
AI-Reinforced Wearable Sensors and Intelligent Point-of-Care Tests
Journal of Personalized Medicine,
Journal Year:
2024,
Volume and Issue:
14(11), P. 1088 - 1088
Published: Nov. 1, 2024
Artificial
intelligence
(AI)
techniques
offer
great
potential
to
advance
point-of-care
testing
(POCT)
and
wearable
sensors
for
personalized
medicine
applications.
This
review
explores
the
recent
advances
transformative
of
use
AI
in
improving
wearables
POCT.
The
integration
significantly
contributes
empowering
these
tools
enables
continuous
monitoring,
real-time
analysis,
rapid
diagnostics,
thus
enhancing
patient
outcomes
healthcare
efficiency.
Wearable
powered
by
models
tremendous
opportunities
precise
non-invasive
tracking
physiological
conditions
that
are
essential
early
disease
detection
treatments.
AI-empowered
POCT
facilitates
rapid,
accurate
making
medical
kits
accessible
available
even
resource-limited
settings.
discusses
key
applications
data
processing,
sensor
fusion,
multivariate
analytics,
highlighting
case
examples
exhibit
their
impact
different
scenarios.
In
addition,
challenges
associated
with
privacy,
regulatory
approvals,
technology
integrations
into
existing
system
have
been
overviewed.
outlook
emphasizes
urgent
need
continued
innovation
AI-driven
health
technologies
overcome
fully
achieve
revolutionize
medicine.
Language: Английский
Biosensors integrated within wearable devices for monitoring chronic wound status
APL Bioengineering,
Journal Year:
2025,
Volume and Issue:
9(1)
Published: Feb. 4, 2025
Slowly
healing
wounds
significantly
affect
the
life
quality
of
patients
in
different
ways,
due
to
constant
pain,
unpleasant
odor,
reduced
mobility
up
social
isolation,
and
personal
frustration.
While
remote
wound
management
has
become
more
widely
accepted
since
COVID-19
pandemic,
delayed
treatment
remains
frequent
results
several
related
complications.
As
inappropriate
notably
diabetic
foot
ulcers
is
linked
a
high
risk
amputation,
effective
patient-centered
manner
important
be
implemented.
The
integration
diagnostic
devices
into
bandages
under
way,
owing
advancements
materials
science
nanofabrication
strategies
as
well
innovation
communication
technologies
together
with
machine
learning
data-driven
assessment
tools.
Leveraging
advanced
analytical
approaches
around
local
pH,
temperature,
pressure,
biomarker
sensing
expected
facilitate
adequate
treatment.
state-of-the-art
time-resolved
monitoring
status
by
quantifying
key
physiological
parameters
biomarkers'
concentration
presented
herewith.
A
special
focus
will
given
smart
on-demand
delivery
capabilities
for
improved
management.
Language: Английский
Catheter-Free Urodynamics Testing: Current Insights and Clinical Potential
Research and Reports in Urology,
Journal Year:
2024,
Volume and Issue:
Volume 16, P. 1 - 17
Published: Jan. 1, 2024
Abstract:
Lower
urinary
tract
dysfunction
not
only
interferes
with
the
health-related
quality
of
life
patients
but
may
also
lead
to
acute
kidney
injury
and
infections.
To
assess
bladder,
urodynamic
studies
(UDS)
have
been
implemented
use
catheters
leads
discomfort
for
patient.
Catheter-free
long-term
UDS
would
be
useful
a
potential
solution
could
ambulatory
wireless
devices
that
communicate
via
telemetry.
Such
sensors
can
detect
pressure
or
volume.
Numerous
types
catheter-free
proposed
bladder
monitoring.
Despite
substantial
innovation
in
manufacturing
implantable
biomedical
electronic
systems,
such
remained
at
laboratory
stage
due
number
critical
challenges.
These
challenges
primarily
concern
hermeticity
biocompatibility,
sensitivity
artifacts,
drift,
telemetry,
energy
management.
Having
overcome
these
challenges,
monitoring
combine
synchronized
intravesical
sensor
volume
analyzer
steps
cystometry
measurement
are
currently
sufficiently
reproducible
simulate
results.
The
by
infrared
optical
sensors,
form
abdominal
patches,
appears
promising
underway
market
telemetric
system
includes
an
sensor.
There
has
considerable
progress
wearable
conformable
electronics
on
many
fronts,
continued
collaboration
between
engineers
urologists
quickly
current
In
addition,
diagnosis
UDS,
development
closed-loop
neuromodulation
system.
this
review,
we
explore
various
inherent
solutions
clinical
sensors.
Keywords:
studies,
monitoring,
devices,
Language: Английский
Self-supported flexible organic electrochemical synaptic transistors on self-healing composite electrolyte membranes
Haoran Yu,
No information about this author
Yunchao Xu,
No information about this author
Zhonghui Deng
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et al.
Applied Physics Letters,
Journal Year:
2024,
Volume and Issue:
124(17)
Published: April 22, 2024
A
variety
of
organic
electrochemical
transistors
have
been
recently
developed;
however,
their
self-healing
performance
has
largely
ignored.
In
this
study,
we
propose
the
use
a
lithium-ion
composite
electrolyte
membrane
as
dielectric
layer
and
poly(3-hexylthiophene)
(P3HT)
channel
to
fabricate
flexible
self-supporting
synaptic
transistors.
behaviors
were
emulated
within
proposed
By
leveraging
features
polymer
electrolytes,
along
with
cross-linking
reactions
low-resistance
transmission,
device
maintained
its
electrical
performance.
Testing
involving
different
curvatures
also
revealed
device's
potential
for
in
electronics.
Significantly,
due
ability,
consistent
dataset
recognition
rates
sustained.
This
work
highlights
vast
prospects
field
wearable
Language: Английский
Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies
ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL,
Journal Year:
2024,
Volume and Issue:
13, P. e31939 - e31939
Published: Dec. 31, 2024
Elbow
injuries,
prevalent
in
various
sports,
significantly
impact
an
athlete’s
performance
and
career
longevity.
Traditional
rehabilitation
methods,
while
effective
to
a
degree,
often
miss
the
mark
terms
of
precision
personalised
care.
This
gap
necessitates
shift
towards
more
sophisticated
strategies.
study
introduces
pioneering
approach
elbow
rehabilitation,
utilising
cutting-edge
wearable
tracking
technologies
along
with
telerehabilitation
paradigm.
The
focus
is
on
increasing
efficacy
processes.
We
developed
state-of-the-art
device,
equipped
sensors,
accurately
track
joint
movements,
including
position,
rotation,
flexion,
real-time.
device
provides
detailed
data,
allowing
for
nuanced
diagnosis
monitoring
during
phases.
data
integrated
into
specialised
application,
enabling
comprehensive
analysis
formulation
plans
real-time
feedback.
demonstrated
notable
improvement
effectiveness
strategies,
measurement
range
motion
(RoM)
within
error
±3
degrees.
A
comparative
traditional
methods
revealed
significant
advancements
accuracy,
adherence
prescribed
regimens,
overall
speed
recovery.
Language: Английский