Nutrition Reviews,
Journal Year:
2022,
Volume and Issue:
80(12), P. 2288 - 2300
Published: April 14, 2022
In
the
late
2010s,
artificial
intelligence
(AI)
technologies
became
complementary
to
research
areas
of
food
science
and
nutrition.
This
review
aims
summarize
these
technological
advances
by
systematically
describing
following:
use
AI
in
other
fields
(eg,
engineering,
pharmacy,
medicine);
history
relation
nutrition;
currently
used
agricultural
industries;
some
important
applications
such
as
immunity-boosting
foods,
dietary
assessment,
gut
microbiome
profile
analysis,
toxicity
prediction
ingredients.
These
are
likely
be
great
demand
near
future.
can
provide
a
starting
point
for
brainstorming
generating
new
nutrition
that
have
yet
imagined.
Advanced Intelligent Systems,
Journal Year:
2023,
Volume and Issue:
5(12)
Published: Oct. 10, 2023
To
promote
sustainability,
this
review
explores:
1)
the
utilization
of
affordable
high‐performance
sensors
that
can
enhance
food
safety
and
quality,
plant
growth,
disease
management
2)
Internet
Things
(IoT)‐supported
to
empower
farmers,
stakeholders,
agro‐food
industries
via
rapid
testing
predictive
analysis
based
on
sensing
generated
informatics
using
artificial
intelligence
(AI).
The
performance
such
is
noticeable,
but
technology
still
not
suitable
be
used
in
real
applications
owing
lack
focus,
scalability,
well‐coordinated
research,
regulations.
cover
gap,
carefully
critically
analyzes
state‐of‐the‐art
technologies
developed
for
quality
assurance
(i.e.,
contaminants,
toxins,
packaging
testing)
growth
monitoring
phenotyping,
stresses,
volatile
organic
components,
nutrient
levels,
hormones,
pathogens)
along
with
possible
challenges.
following
has
been
proposed
future
research:
promoting
optimized
combination
green
units
supported
by
IoT
perform
at
location,
considering
remote
urban
areas
as
a
key
analyzing
AI
should
also
focus
risk
assessment
understanding
optimizing
necessary
majors.
Finally,
perspectives
IoT‐enabled
sensors,
their
real‐world
limitations,
are
discussed.
Nutrients,
Journal Year:
2024,
Volume and Issue:
16(16), P. 2673 - 2673
Published: Aug. 13, 2024
Personalized
nutrition
(PN)
represents
a
transformative
approach
in
dietary
science,
where
individual
genetic
profiles
guide
tailored
recommendations,
thereby
optimizing
health
outcomes
and
managing
chronic
diseases
more
effectively.
This
review
synthesizes
key
aspects
of
PN,
emphasizing
the
basis
responses,
contemporary
research,
practical
applications.
We
explore
how
differences
influence
metabolisms,
thus
underscoring
importance
nutrigenomics
developing
personalized
guidelines.
Current
research
PN
highlights
significant
gene–diet
interactions
that
affect
various
conditions,
including
obesity
diabetes,
suggesting
interventions
could
be
precise
beneficial
if
they
are
customized
to
profiles.
Moreover,
we
discuss
implementations
technological
advancements
testing
enable
real-time
customization.
Looking
forward,
this
identifies
robust
integration
bioinformatics
genomics
as
critical
for
advancing
PN.
advocate
multidisciplinary
overcome
current
challenges,
such
data
privacy
ethical
concerns
associated
with
testing.
The
future
lies
broader
adoption
across
wellness
sectors,
promising
public
medicine.
ACM Computing Surveys,
Journal Year:
2024,
Volume and Issue:
56(7), P. 1 - 42
Published: Feb. 15, 2024
Wearable
devices,
or
wearables,
designed
to
be
attached
the
human
body,
can
gather
personalized
real-time
data
and
continuously
monitor
an
individual’s
health
status
physiological
disposition
in
a
non-invasive
manner.
Intelligent
wearables
integrate
advanced
machine
learning
algorithms
process
complex
patterns
provide
accurate
insights.
As
result,
intelligent
have
emerged
as
ground-breaking
innovation
fields
of
sports
health,
introducing
new
paradigm
kinematic
analysis
patient
evaluation.
For
example,
virtual
coaches
offer
feedback
on
athletes’
performance,
whereas
physicians
assist
customizing
medication
for
patients.
This
article
provides
overview
various
types
their
applications
sports,
categorizes
algorithms,
introduces
wireless
body
area
sensor
network
(WBASN)
used
communication
wearable
sensors.
Additionally,
we
discuss
potential
challenges
development
directions
that
could
shape
future
propose
effective
solutions
continued
enhancement.
offers
valuable
insights
into
exciting
transform
healthcare
sports.
Sustainable Food Technology,
Journal Year:
2024,
Volume and Issue:
2(4), P. 976 - 992
Published: Jan. 1, 2024
The
integration
of
advanced
biosensors
enhances
the
detection
contaminants
in
food.
This
approach
addresses
challenges
related
to
sensitivity,
specificity,
and
environmental
factors,
ensuring
food
safety
quality.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(24)
Published: Feb. 23, 2024
Abstract
Electrochemical
biosensors
have
emerged
as
one
of
the
promising
tools
for
tracking
human
body
physiological
dynamics
via
non‐invasive
perspiration
analysis.
However,
it
remains
a
key
challenge
to
integrate
multiplexed
sensors
in
highly
controllable
and
reproducible
manner
achieve
long‐term
reliable
biosensing,
especially
on
flexible
platforms.
Herein,
fully
inkjet
printed
integrated
biosensing
patch
with
remarkably
high
stability
sensitivity
is
reported
first
time.
These
desirable
characteristics
are
enabled
by
unique
interpenetrating
interface
design
precise
control
over
active
materials
mass
loading,
owing
optimized
ink
formulations
droplet‐assisted
printing
processes.
The
deliver
sensitivities
313.28
µA
m
−1
cm
−2
glucose
0.87
alcohol
sensing
minimal
drift
30
h,
which
among
best
literature.
can
be
used
wireless
diet
monitoring
or
medical
intervention
epidermal
analysis
would
inspire
advances
wearable
devices
intelligent
healthcare
applications.
Nutrients,
Journal Year:
2025,
Volume and Issue:
17(1), P. 190 - 190
Published: Jan. 5, 2025
Background:
Artificial
Intelligence
(AI)
technologies
are
now
essential
as
the
agenda
of
nutrition
research
expands
its
scope
to
look
at
intricate
connection
between
food
and
health
in
both
an
individual
a
community
context.
AI
also
helps
tracing
offering
solutions
dietary
assessment,
personalized
clinical
nutrition,
well
disease
prediction
management,
such
cardiovascular
diseases,
diabetes,
cancer,
obesity.
This
review
aims
investigate
assess
different
applications
roles
understand
potential
future
impact.
Methods:
We
used
PubMed,
Scopus,
Web
Science,
Google
Scholar,
EBSCO
databases
for
our
search.
Results:
Our
findings
indicate
that
is
reshaping
field
ways
were
previously
unimaginable.
By
enhancing
how
we
diets,
customize
plans,
manage
complex
conditions,
has
become
tool.
Technologies
like
machine
learning
models,
wearable
devices,
chatbot
revolutionizing
accuracy
tracking,
making
it
easier
than
ever
provide
tailored
individuals
communities.
These
innovations
proving
invaluable
combating
diet-related
illnesses
encouraging
healthier
eating
habits.
One
breakthrough
been
where
significantly
reduced
errors
common
traditional
methods.
Tools
use
visual
recognition,
deep
learning,
mobile
have
made
possible
analyze
nutrient
content
meals
with
incredible
precision.
Conclusions:
Moving
forward,
collaboration
tech
developers,
healthcare
professionals,
policymakers,
researchers
will
be
essential.
focusing
on
high-quality
data,
addressing
ethical
challenges,
keeping
user
needs
forefront,
can
truly
revolutionize
science.
The
enormous.
set
make
not
only
more
effective
but
equitable
accessible
everyone.
Advanced Functional Materials,
Journal Year:
2021,
Volume and Issue:
31(50)
Published: Sept. 9, 2021
Abstract
The
wearable
revolution
is
already
present
in
society
through
numerous
gadgets.
However,
the
contest
remains
fully
deployable
(bio)chemical
sensing.
Its
use
constrained
by
energy
consumption
which
provided
miniaturized
batteries,
limiting
autonomy
of
device.
Hence,
combination
materials
and
engineering
efforts
to
develop
sustainable
management
paramount
next
generation
self‐powered
electrochemical
devices
(WeSPEDs).
In
this
direction,
review
highlights
for
first
time
incorporation
innovative
harvesting
technologies
with
top‐notch
sensors
low‐powered
toward
battery‐free
self‐sustainable
health
wellbeing
management.
First,
current
elements
such
as
designs,
sensors,
harvesters
storage,
user
interfaces
that
conform
WeSPEDs
are
depicted.
Importantly,
bottlenecks
development
from
an
analytical
perspective,
product
side,
power
needs
carefully
addressed.
Subsequently,
opportunities
discussed.
Finally,
key
findings
will
enable
proposed.
Overall,
aims
bring
new
strategies
energy‐balanced
deployment
successful
monitoring
parameters
body
personalized,
predictive,
importantly,
preventive
healthcare.
Nanoscale,
Journal Year:
2021,
Volume and Issue:
14(5), P. 1653 - 1669
Published: Dec. 21, 2021
This
review
focuses
on
the
wearability
of
chemical
sensors
and
analyzes
pros
cons
relating
to
practical
wearable
applications.
We
also
discuss
current
challenges
outlook
flexible
sensors.