Diabetes
management
requires
constant
monitoring
and
individualized
adjustments.
This
study
proposes
a
novel
approach
that
leverages
digital
twins
Personal
Health
Knowledge
Graphs
(PHKGs)
to
revolutionize
diabetes
care.
Our
key
contribution
lies
in
developing
real-time,
patient-centric
twin
framework
built
on
PHKGs.
integrates
data
from
diverse
sources,
adhering
HL7
standards
enabling
seamless
information
access
exchange.
PHKGs
offer
flexible
efficient
format
supports
various
applications.
As
new
knowledge
about
the
patient
becomes
available,
PHKG
can
be
easily
extended
incorporate
it.
dynamic
fosters
continuous
improvement
facilitates
development
of
proof
concept,
we
have
demonstrated
versatility
our
by
applying
it
different
use
cases
management.
These
include
predicting
glucose
levels,
optimizing
insulin
dosage,
providing
personalized
lifestyle
recommendations,
visualizing
health
data.
By
patient-specific
care,
this
research
paves
way
for
more
precise
healthcare
interventions,
potentially
improving
long-term
outcomes.
Journal of Medical Internet Research,
Год журнала:
2024,
Номер
26, С. e50204 - e50204
Опубликована: Май 13, 2024
Digital
twins
have
emerged
as
a
groundbreaking
concept
in
personalized
medicine,
offering
immense
potential
to
transform
health
care
delivery
and
improve
patient
outcomes.
It
is
important
highlight
the
impact
of
digital
on
medicine
across
understanding
health,
risk
assessment,
clinical
trials
drug
development,
monitoring.
By
mirroring
individual
profiles,
offer
unparalleled
insights
into
patient-specific
conditions,
enabling
more
accurate
assessments
tailored
interventions.
However,
their
application
extends
beyond
benefits,
prompting
significant
ethical
debates
over
data
privacy,
consent,
biases
care.
The
rapid
evolution
this
technology
necessitates
careful
balancing
act
between
innovation
responsibility.
As
field
continues
evolve,
hold
tremendous
promise
transforming
revolutionizing
While
challenges
exist,
continued
development
integration
revolutionize
ushering
an
era
treatments
improved
well-being.
can
assist
recognizing
trends
indicators
that
might
signal
presence
diseases
or
forecast
likelihood
developing
specific
medical
along
with
progression
such
diseases.
Nevertheless,
use
human
gives
rise
dilemmas
related
informed
ownership,
for
discrimination
based
profiles.
There
critical
need
robust
guidelines
regulations
navigate
these
challenges,
ensuring
pursuit
advanced
solutions
does
not
compromise
rights
This
viewpoint
aims
ignite
comprehensive
dialogue
responsible
advocating
future
where
serves
cornerstone
personalized,
ethical,
effective
Artificial Intelligence Review,
Год журнала:
2024,
Номер
57(8)
Опубликована: Июль 10, 2024
Abstract
The
potential
of
digital
twin
technology
is
yet
to
be
fully
realised
due
its
diversity
and
untapped
potential.
Digital
twins
enable
systems’
analysis,
design,
optimisation,
evolution
performed
digitally
or
in
conjunction
with
a
cyber-physical
approach
improve
speed,
accuracy,
efficiency
over
traditional
engineering
methods.
Industry
4.0,
factories
the
future,
continue
benefit
from
provide
enhanced
within
existing
systems.
Due
lack
information
security
standards
associated
transition
cyber
digitisation,
cybercriminals
have
been
able
take
advantage
situation.
Access
product
service
equivalent
threatening
entire
collection.
There
robust
interaction
between
artificial
intelligence
tools,
which
leads
strong
these
technologies,
so
it
can
used
cybersecurity
platforms
based
on
their
integration
technologies.
This
study
aims
investigate
role
providing
for
versions
various
industries,
as
well
risks
versions.
In
addition,
this
research
serves
road
map
researchers
others
interested
security.
Journal of Personalized Medicine,
Год журнала:
2024,
Номер
14(11), С. 1101 - 1101
Опубликована: Ноя. 11, 2024
This
review
examines
the
significant
influence
of
Digital
Twins
(DTs)
and
their
variant,
Human
(DHTs),
on
healthcare
field.
DTs
represent
virtual
replicas
that
encapsulate
both
medical
physiological
characteristics-such
as
tissues,
organs,
biokinetic
data-of
patients.
These
models
facilitate
a
deeper
understanding
disease
progression
enhance
customization
optimization
treatment
plans
by
modeling
complex
interactions
between
genetic
factors
environmental
influences.
By
establishing
dynamic,
bidirectional
connections
physical
objects
digital
counterparts,
these
technologies
enable
real-time
data
exchange,
thereby
transforming
electronic
health
records.
Leveraging
increasing
availability
extensive
historical
datasets
from
clinical
trials
real-world
sources,
AI
can
now
generate
comprehensive
predictions
future
outcomes
for
specific
patients
in
form
AI-generated
DTs.
Such
also
offer
insights
into
potential
diagnoses,
progression,
responses.
remarkable
paves
way
precision
medicine
personalized
health,
allowing
high-level
individualized
interventions
therapies.
However,
integration
faces
several
challenges,
including
security,
accessibility,
bias,
quality.
Addressing
obstacles
is
crucial
to
realizing
full
DHTs,
heralding
new
era
personalized,
precise,
accurate
medicine.
Applied Sciences,
Год журнала:
2024,
Номер
14(6), С. 2559 - 2559
Опубликована: Март 19, 2024
An
up-and-coming
concept
that
seeks
to
transform
how
students
learn
about
and
study
complex
systems,
as
well
industrial
workers
are
trained,
metaverse
technology
is
characterized
in
this
context
by
its
use
virtual
simulation
analysis.
In
work,
a
environment
created
duplicates
real-world
situations
enables
immersive
interactive
learning
the
educational
metaverse.
For
purpose,
we
built
digital
twin
of
Nanyang
Technological
University
(NTU)
campus
foundation,
called
NTUniverse.
It
designed
an
which
various
academic
analytical
applications
digitized
3D
content
embedded
within
campus.
The
approach
digitally
twinning
systems
embedding
them
campuses
remote
collaborative
professional
technical
skills
training.
also
makes
feasible
analysis
abstract
concepts,
complicated
structures,
dynamic
processes,
sensitive
procedures
virtually,
otherwise
challenging
if
not
impossible
perform
real
world.
work
offers
important
insights
into
behaviors
interactions
evaluating
design
choices
user
interests.
NTUniverse
attempt
explore
novel
addresses
education
training
challenges.
Three
efforts
with
will
be
discussed
including
(1)
digitalization
NTU
campus;
(2)
train
modelling
simulation;
(3)
science,
technology,
engineering
mathematics
education.
Journal of Personalized Medicine,
Год журнала:
2024,
Номер
14(4), С. 359 - 359
Опубликована: Март 28, 2024
Diabetes
management
requires
constant
monitoring
and
individualized
adjustments.
This
study
proposes
a
novel
approach
that
leverages
digital
twins
personal
health
knowledge
graphs
(PHKGs)
to
revolutionize
diabetes
care.
Our
key
contribution
lies
in
developing
real-time,
patient-centric
twin
framework
built
on
PHKGs.
integrates
data
from
diverse
sources,
adhering
HL7
standards
enabling
seamless
information
access
exchange
while
ensuring
high
levels
of
accuracy
representation
insights.
PHKGs
offer
flexible
efficient
format
supports
various
applications.
As
new
about
the
patient
becomes
available,
PHKG
can
be
easily
extended
incorporate
it,
enhancing
precision
care
provided.
dynamic
fosters
continuous
improvement
facilitates
development
proof
concept,
we
have
demonstrated
versatility
our
by
applying
it
different
use
cases
management.
These
include
predicting
glucose
levels,
optimizing
insulin
dosage,
providing
personalized
lifestyle
recommendations,
visualizing
data.
By
patient-specific
care,
this
research
paves
way
for
more
precise
healthcare
interventions,
potentially
improving
long-term
outcomes.
Frontiers of Urban and Rural Planning,
Год журнала:
2024,
Номер
2(1)
Опубликована: Апрель 7, 2024
Abstract
Digital
Twins
(DTs)
are
increasingly
recognized
for
their
potential
to
improve
efficiency
and
decision-making
in
various
domains
of
the
built
environment.
Despite
promise,
challenges
like
cost,
complexity,
interoperability,
data
integration
remain.
This
paper
introduces
a
novel
interactive
visual
analytics
system
that
tackles
these
issues,
using
case
study
simulating
class
distribution
campus
building
capacity
at
large
public
university.
The
leverages
enrollment
data,
converting
it
into
spatial-temporal
format
exploration
analysis
resource
utilization.
Through
studies,
we
demonstrate
system's
effectiveness,
adaptability,
real-world
applicability,
highlighting
its
role
practical
DT
implementation
environments.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 69652 - 69676
Опубликована: Янв. 1, 2024
In
the
dynamic
landscape
of
healthcare,
Digital
Twin
(DT)
technology
has
emerged
as
a
transformative
force,
holding
promise
revolutionizing
patient
care
and
industry
practices.
This
article
surveys
literature
over
period
2020
to
2023
on
comprehensive
exploration
DT
in
elucidating
its
roles,
benefits,
implications
for
smart
personalized
healthcare.
The
study
addresses
fundamental
questions
concerning
potential
DT,
investigating
varied
roles
benefits
revolutionary
impact
industry,
essential
requirements
crafting
system
tailored
demands
research
further
unveils
key
layers
necessary
implementing
healthcare
system,
examining
applications
that
extend
from
diagnostics
treatment
strategies.
Methodologically,
paper
navigates
through
different
model
discussions,
providing
structured
approach
understanding
implementation
Despite
potential,
delves
into
limitations
challenges
faced
by
technology,
offering
balanced
perspective
current
state.
conclusion,
synthesizes
findings,
outlines
methodologies,
discusses
challenges,
sets
stage
future
research,
presenting
holistic
overview
pitfalls,
pathways
integrating
industry.
Future Internet,
Год журнала:
2024,
Номер
16(10), С. 379 - 379
Опубликована: Окт. 18, 2024
The
metaverse
concept
has
been
evolving
from
static,
pre-rendered
virtual
environments
to
a
new
frontier:
the
real-time
metaverse.
This
survey
paper
explores
emerging
field
of
technologies,
which
enable
continuous
integration
dynamic,
real-world
data
into
immersive
environments.
We
examine
key
technologies
driving
this
evolution,
including
advanced
sensor
systems
(LiDAR,
radar,
cameras),
artificial
intelligence
(AI)
models
for
interpretation,
fast
fusion
algorithms,
and
edge
computing
with
5G
networks
low-latency
transmission.
reveals
how
these
are
orchestrated
achieve
near-instantaneous
synchronization
between
physical
worlds,
defining
characteristic
that
distinguishes
its
traditional
counterparts.
provides
comprehensive
insight
technical
challenges
discusses
solutions
realize
responsive
dynamic
potential
applications
impact
across
various
fields
considered,
live
entertainment,
remote
collaboration,
simulations,
urban
planning
digital
twins.
By
synthesizing
current
research
identifying
future
directions,
foundation
understanding
advancing
rapidly
landscape
contributing
growing
body
knowledge
on
experiences
setting
stage
further
innovations
in
Metaverse
transformative
field.
