Artificial intelligence,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 10, 2024
Human
digital
twins
(“HDT”)
are
one-on-one
replicas
of
human
beings,
organs
such
as
the
heart
and
lungs,
or
pathophysiological
processes
immune
systems,
where
physical
counterparts
tethered
with
each
other.
Critical
to
HDT
is
a
connector
(“bridge”)
that
links
counterparts.
Sensors
on
bodies
obtain
real-time
data
pass
them
through
bridge
twin.
The
twin
runs
artificial
intelligence/machine
learning
(“AI/ML”)
algorithms
this
input
resulting
output
passed
via
connected
being.
This
combination
being,
counterpart
unique
HDTs
distinguishing
from
simulations,
clones,
assistants.
prime
drivers
precision
medicine
personalised
care.
While
most
common
clinical
uses
yet
in
cardiology
surgery,
technology
will
evolve,
new
be
explored
bring
about
paradigm
shift
medical
In
chapter
we
have
discussed
HDTs,
principles,
methods
construction,
use
HDTs.
We
also
discuss
key
limitations
ethics
related
Advances in systems analysis, software engineering, and high performance computing book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 81 - 124
Published: Feb. 7, 2025
The
healthcare
industry
faces
the
challenge
of
balancing
technological
advancements
with
environmental
sustainability.
Emerging
tools
like
digital
twins
and
metaverse
hold
promise
for
sustainable
but
remain
underutilized.
Digital
replicate
health
data,
while
technologies
(AR/VR)
create
interactive
virtual
environments,
supporting
eco-conscious
practices.
This
study
emphasizes
energy-efficient
designs
algorithms
to
reduce
impact,
human
intervention,
resource
use.
Balancing
innovation
data
protection
protocols,
including
encryption
decentralized
storage,
is
essential.
Eco-friendly
production,
ethical
sourcing,
recycling
further
carbon
footprint.
User-friendly
interfaces,
accessibility
features,
localized
content
can
bridge
gaps.
For
example,
professionals
could
enable
rounds,
improving
efficiency
reducing
physical
travel.
These
advancements,
integrated
existing
systems,
enhance
sustainability
minimizing
impact.
Measurement and Control,
Journal Year:
2024,
Volume and Issue:
57(9), P. 1255 - 1267
Published: March 15, 2024
Aiming
at
the
problems
existing
in
discrete
manufacturing
workshops
of
ships,
such
as
lack
real-time
management
and
control
ability
on-site
production
status,
long
time
delay
interaction
fusion
between
physical
entities
virtual
data,
this
paper
proposes
ship
workshop
data
mapping
method
based
on
digital
twins.
Taking
a
machining
an
application
research
example,
integrated
business
process
twins
are
studied.
On
basis,
dynamic
scheduling
optimization
algorithm
is
The
results
show
that
study
can
significantly
reduce
real
objects.
It
effectively
improve
flexibility
complex
tasks
emergency
insertion
task
rework.
synchronous
scenes
line
reconstruction
customized
improved.
Clinical Chemistry and Laboratory Medicine (CCLM),
Journal Year:
2024,
Volume and Issue:
62(11), P. 2156 - 2161
Published: May 10, 2024
In
recent
years,
the
integration
of
technological
advancements
and
digitalization
into
healthcare
has
brought
about
a
remarkable
transformation
in
care
delivery
patient
management.
Among
these
advancements,
concept
digital
twins
(DTs)
recently
gained
attention
as
tool
with
substantial
transformative
potential
different
clinical
contexts.
DTs
are
virtual
representations
physical
entity
(e.g.,
or
an
organ)
systems
hospital
wards,
including
laboratories),
continuously
updated
real-time
data
to
mirror
its
real-world
counterpart.
can
be
utilized
monitor
customize
health
by
simulating
individual's
status
based
on
information
from
wearables,
medical
devices,
diagnostic
tests,
electronic
records.
addition,
used
define
personalized
treatment
plans.
this
study,
we
focused
some
possible
applications
laboratory
medicine
when
AI
synthetic
obtained
generative
AI.
The
first
point
discussed
how
biological
variation
(BV)
application
could
tailored
individuals,
considering
population-derived
BV
parameters
circadian
ultradian
variations.
Another
enhancing
interpretation
tumor
markers
advanced
cancer
therapy
treatments.
Furthermore,
might
derive
reference
intervals,
also
they
improve
test
results
interpretation.
DT's
widespread
adoption
is
not
imminent,
but
it
far
off.
This
technology
will
likely
offer
innovative
definitive
solutions
for
dynamically
evaluating
treatments
more
precise
diagnoses
medicine.
