Advanced Materials Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Июнь 2, 2025
Abstract
Efficient
sampling
of
dermal
interstitial
fluid
(ISF)
is
essential
for
continuous
monitoring
biomarkers
early
detection
and
management
chronic
diseases.
Transdermal
ISF
extraction
using
microneedles
gained
popularity
due
to
their
minimally
invasive
nature
efficient
capabilities.
Among
various
modalities,
passive
with
hollow
polymeric
(HMN)
stands
out
as
an
efficient,
economical
user‐friendly
alternative
that
eliminates
the
need
external
pumps
or
complex
recovery
processes.
As
HMN
relies
on
capillary
action,
influence
surface
morphology
wettability
microchannels
are
investigated.
In
vitro
absorption
capacities
HMNs
fabricated
by
laser
machining
polylactic
acid
(PLA),
polymethyl
methacrylate
(PMMA)
polycarbonate
(PC)
Microchannels
created
needle
tips
through
micromachining
a
355
nm
laser.
Surface
roughness
induced
exposure
most
prominent
in
PLA
HMNs,
which
exhibited
rate
0.02
mg
min
−1
per
at
insertion
force
1.4
N
needle,
while
PMMA
PC‐based
showed
rates
0.01
1.9
2.3
respectively.
These
findings
highlight
critical
properties
enhancing
action
during
supporting
potential
integration
into
next‐generation
wearable
biosensors.
Advanced Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 3, 2024
Early-stage
disease
detection,
particularly
in
Point-Of-Care
(POC)
wearable
formats,
assumes
pivotal
role
advancing
healthcare
services
and
precision-medicine.
Public
benefits
of
early
detection
extend
beyond
cost-effectively
promoting
outcomes,
to
also
include
reducing
the
risk
comorbid
diseases.
Technological
advancements
enabling
POC
biomarker
recognition
empower
discovery
new
markers
for
various
health
conditions.
Integration
wearables
with
intelligent
frameworks
represents
ground-breaking
innovations
automation
operations,
conducting
advanced
large-scale
data
analysis,
generating
predictive
models,
facilitating
remote
guided
clinical
decision-making.
These
substantially
alleviate
socioeconomic
burdens,
creating
a
paradigm
shift
diagnostics,
revolutionizing
medical
assessments
technology
development.
This
review
explores
critical
topics
recent
progress
development
1)
systems
solutions
physiological
monitoring,
as
well
2)
discussing
current
trends
adoption
smart
technologies
within
settings
developing
biological
assays,
ultimately
3)
exploring
utilities
platforms
discovery.
Additionally,
translation
from
research
labs
broader
applications.
It
addresses
associated
risks,
biases,
challenges
widespread
Artificial
Intelligence
(AI)
integration
diagnostics
systems,
while
systematically
outlining
potential
prospects,
challenges,
opportunities.
Journal of Personalized Medicine,
Год журнала:
2024,
Номер
14(11), С. 1088 - 1088
Опубликована: Ноя. 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.
Biosensors,
Год журнала:
2024,
Номер
14(12), С. 613 - 613
Опубликована: Дек. 13, 2024
Microfluidic
devices
have
revolutionized
biosensing
by
enabling
precise
manipulation
of
minute
fluid
volumes
across
diverse
applications.
This
review
investigates
the
incorporation
machine
learning
(ML)
into
design,
fabrication,
and
application
microfluidic
biosensors,
emphasizing
how
ML
algorithms
enhance
performance
improving
design
accuracy,
operational
efficiency,
management
complex
diagnostic
datasets.
Integrating
microfluidics
with
has
fostered
intelligent
systems
capable
automating
experimental
workflows,
real-time
data
analysis,
supporting
informed
decision-making.
Recent
advances
in
health
diagnostics,
environmental
monitoring,
synthetic
biology
driven
are
critically
examined.
highlights
transformative
potential
ML-enhanced
systems,
offering
insights
future
trajectory
this
rapidly
evolving
field.
Molecular Neurobiology,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 17, 2025
Abstract
Neurodegenerative
diseases
(NDs)
like
Alzheimer’s,
Parkinson’s,
and
ALS
rank
among
the
most
challenging
global
health
issues,
marked
by
substantial
obstacles
in
early
diagnosis
effective
treatment.
Current
diagnostic
techniques
frequently
demonstrate
inadequate
sensitivity
specificity,
whilst
conventional
treatment
strategies
encounter
challenges
related
to
restricted
bioavailability
insufficient
blood–brain
barrier
(BBB)
permeability.
Recently,
exosomes—nanoscale
vesicles
packed
with
proteins,
RNAs,
lipids—have
emerged
as
promising
agents
potential
reshape
therapeutic
approaches
these
diseases.
Unlike
drug
carriers,
they
naturally
traverse
BBB
can
deliver
bioactive
molecules
affected
neural
cells.
Their
molecular
cargo
influence
cell
signaling,
reduce
neuroinflammation,
potentially
slow
neurodegenerative
progression.
Moreover,
exosomes
serve
non-invasive
biomarkers,
enabling
precise
while
allowing
real-time
disease
monitoring.
Additionally,
engineered
exosomes,
loaded
molecules,
enhance
this
capability
targeting
diseased
neurons
overcoming
barriers.
By
offering
enhanced
reduced
immunogenicity,
an
ability
bypass
physiological
limitations,
exosome-based
present
a
transformative
advantage
over
existing
approaches.
This
review
examines
multifaceted
role
of
NDDs,
emphasizing
their
capabilities,
intrinsic
functions,
advanced
vehicles.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 473 - 504
Опубликована: Янв. 10, 2025
The
utilization
of
the
wearable
devices
(WDs)
that
are
enhanced
by
artificial
intelligence
(AI)
can
have
a
notable
potential
in
healthcare.
This
chapter
aimed
to
provide
an
overview
applications
AI-driven
WDs
enhancing
early
detection
and
management
virus
infections.
First,
we
presented
examples
highlight
capabilities
very
monitoring
infections
such
as
COVID-19.
In
addition,
provided
on
utility
machine
learning
algorithms
analyze
large
data
for
signs
We
also
overviewed
enable
real-time
surveillance
effective
outbreak
management.
showed
how
this
be
achieved
via
collection
analysis
diverse
WDs'
across
various
populations.
Finally,
discussed
challenges
ethical
issues
comes
with
virology
diagnostics,
including
concerns
about
privacy
security
well
issue
equitable
access.
Micromachines,
Год журнала:
2025,
Номер
16(3), С. 243 - 243
Опубликована: Фев. 20, 2025
Polymerase
chain
reaction
(PCR)
chips
are
advanced,
microfluidic
platforms
that
have
revolutionized
biomarker
discovery
and
validation
because
of
their
high
sensitivity,
specificity,
throughput
levels.
These
miniaturize
traditional
PCR
processes
for
the
speed
precision
nucleic
acid
detection
relevant
to
advancing
drug
development.
Biomarkers,
which
useful
in
helping
explain
disease
mechanisms,
patient
stratification,
therapeutic
monitoring,
hard
identify
validate
due
complexity
biological
systems
limitations
techniques.
The
challenges
respond
include
high-throughput
capabilities
coupled
with
real-time
quantitative
analysis,
enabling
researchers
novel
biomarkers
greater
accuracy
reproducibility.
More
recent
design
improvements
further
expanded
functionality
also
digital
multiplex
technologies.
Digital
ideal
quantifying
rare
biomarkers,
is
essential
oncology
infectious
research.
In
contrast,
enable
simultaneous
analysis
multiple
targets,
therefore
simplifying
validation.
Furthermore,
single-cell
made
it
possible
detect
at
unprecedented
resolution,
hence
revealing
heterogeneity
within
cell
populations.
transforming
development,
target
identification,
efficacy
assessment.
They
play
a
major
role
development
companion
diagnostics
and,
therefore,
pave
way
personalized
medicine,
ensuring
right
receives
treatment.
While
this
tremendously
promising
technology
has
exhibited
many
regarding
its
scalability,
integration
other
omics
technologies,
conformity
regulatory
requirements,
still
prevail.
Future
breakthroughs
chip
manufacturing,
artificial
intelligence,
multi-omics
applications
will
expand
capabilities.
not
only
be
important
acceleration
but
raising
bar
improving
outcomes
hence,
global
health
care
as
these
technologies
continue
mature.
