Heliyon,
Journal Year:
2024,
Volume and Issue:
11(1), P. e41338 - e41338
Published: Dec. 18, 2024
AI-optimized
electrochemical
aptasensors
are
transforming
diagnostic
testing
by
offering
high
sensitivity,
selectivity,
and
rapid
response
times.
Leveraging
data-driven
AI
techniques,
these
sensors
provide
a
non-invasive,
cost-effective
alternative
to
traditional
methods,
with
applications
in
detecting
molecular
biomarkers
for
neurodegenerative
diseases,
cancer,
coronavirus.
The
performance
metrics
outlined
the
comparative
table
illustrate
significant
advancements
enabled
integration.
Sensitivity
increases
from
60
75
%
ordinary
85-95
%,
while
specificity
improves
70-80
90-98
%.
This
enhanced
allows
ultra-low
detection
limits,
such
as
10
fM
carcinoembryonic
antigen
(CEA)
20
mucin-1
(MUC1)
using
Electrochemical
Impedance
Spectroscopy
(EIS),
1
pM
prostate-specific
(PSA)
Differential
Pulse
Voltammetry
(DPV).
Similarly,
Square
Wave
(SWV)
potentiometric
have
detected
alpha-fetoprotein
(AFP)
at
5
epithelial
cell
adhesion
molecule
(EpCAM)
100
fM,
respectively.
integration
also
enhances
reproducibility,
reduces
false
positives
negatives
(from
15-20
5-10
%),
significantly
decreases
times
10-15
s
2-3
s).
These
improve
data
processing
speeds
min
per
sample
2-5
min)
calibration
accuracy
(<2
margin
of
error
compared
expanding
application
scope
multi-target
biomarker
detection.
review
highlights
how
position
powerful
tools
personalized
treatment,
point-of-care
testing,
continuous
health
monitoring.
Despite
higher
cost
($500-$1,500/unit),
their
portability
promise
revolutionize
healthcare,
environmental
monitoring,
food
safety,
ultimately
improving
public
outcomes.
Digital Discovery,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
AI-integrated
electrochemical
sensors
boost
peak
resolution
and
sensitivity,
enabling
precise
detection
of
electroactive
species
in
complex
matrices.
This
method
enhances
analytical
capabilities,
providing
an
analytically
robust
solution.
ChemistryEurope,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 30, 2025
With
the
rise
of
multidrug‐resistant
pathogens,
emerging
zoonotic
viruses,
and
increasing
prevalence
cancer,
modernization
clinical
diagnostics
has
become
a
critical
priority.
Label‐free
optical
biosensors,
including
those
based
on
plasmonics
silicon
photonic
technologies,
offer
promising
solutions
for
highly
sensitive
molecular
analysis,
rapid
assay
times,
decentralized
operation.
However,
important
challenges
must
be
addressed
their
successful
implementation,
miniaturization
integration
in
compact,
automated
devices
direct
analysis
complex
human
specimens,
like
blood.
In
this
context,
an
overview
recent
advancements
future
perspectives
biosensors
are
provided
diagnostics.
The
limitations
these
technologies
examined,
specific
research
objectives
that
need
to
met
fully
leverage
potential
accelerate
adoption
practice
proposed.
Finally,
most
innovative
biosensor
designs
methodologies
highlighted,
along
with
prospects
contributing
precision
diagnosis
personalized
medicine.
Journal of The Electrochemical Society,
Journal Year:
2024,
Volume and Issue:
171(9), P. 097503 - 097503
Published: Aug. 5, 2024
The
burgeoning
intersection
of
machine
learning
(ML)
with
electrochemical
sensing
heralds
a
transformative
era
in
analytical
science,
pushing
the
boundaries
what’s
possible
detecting
and
quantifying
chemical
substances
unprecedented
precision
efficiency.
This
convergence
has
accelerated
number
discoveries,
improving
sensors’
sensitivity,
selectivity,
ability
to
comprehend
complicated
data
streams
real-time.
Such
advancements
are
crucial
across
various
applications,
from
monitoring
health
biomarkers
environmental
pollutants
ensuring
industrial
safety.
Yet,
this
integration
is
not
without
its
challenges;
it
necessitates
navigating
intricate
ethical
considerations
around
use,
robust
privacy
measures,
developing
specialized
software
tools
that
balance
accessibility
security.
As
field
progresses,
addressing
these
challenges
head-on
essential
for
harnessing
full
potential
ML-enhanced
sensing.
review
briefly
explores
dimensions,
spotlighting
significant
technological
strides,
landscape,
dynamic
interplay
between
open-source
proprietary
solutions
while
also
casting
forward
gaze
at
promising
future
directions
interdisciplinary
venture.
Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
96(49), P. 19160 - 19182
Published: Nov. 27, 2024
This
Perspective
explores
the
revolutionary
advances
in
wearable
aptasensor
(WA)
technology,
which
combines
devices
and
aptamer-based
detection
systems
for
personalized,
real-time
health
monitoring.
The
leverage
specificity
sensitivity
of
aptamers
to
target
specific
molecules,
offering
broad
applications
from
continuous
glucose
tracking
early
diagnosis
diseases.
integration
data
analytics
artificial
intelligence
(AI)
allows
risk
prediction
guides
preventive
measures.
While
challenges
miniaturization,
power
efficiency,
security
persist,
these
hold
significant
potential
democratize
healthcare
reshape
patient-doctor
interactions.
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.
Food Chemistry X,
Journal Year:
2025,
Volume and Issue:
26, P. 102336 - 102336
Published: Feb. 1, 2025
Food
flavor,
a
blend
of
taste
and
smell,
is
key
to
consumer
acceptance
food
quality.
Traditional
sensory
instrumental
methods
often
fail
replicate
human
responses.
This
review
discusses
the
role
cell-based
biosensors
in
flavor
evaluation,
showcasing
their
sensitivity,
specificity,
rapid
response.
Using
living
cells
like
olfactory
cells,
these
surpass
traditional
approaches.
Advancements
include
microelectrode
array
systems
with
receptor
for
real-time
detection
bitter,
sweet,
umami
substances
improved
cell
immobilization
technologies
detecting
complex
odorant
profiles.
Challenges
such
as
signal
stability,
selective
detection,
cultivation,
scalability
persist.
However,
integrating
artificial
intelligence
portable
could
broaden
applications.
With
potential
revolutionize
analysis,
offer
sustainable,
precise,
scalable
approach
bridging
perception
advanced
analytical
driving
innovation
science.
