This
paper
investigates
the
capability
for
discovering
modern
programs
actual-time
information
analysis
use
of
system
learning.
We
will
take
a
look
at
technology
and
strategies
used
in
getting
to
know
talk
their
adaptive
potential
interpret
analyze
dynamically
changing
facts
inputs.
Especially,
we
can
examine
existing
technological
methods
understand
capacity
AI
discover
creative
solutions
complicated
challenges.
also
explore
techniques
contain
gadget
gaining
knowledge
into
present
real-time
records
platforms
architectures.
Finally,
are
able
speak
machine
studying
evaluation
its
allow
fast
correct
decision
making.
gives
theoretical
framework
apprehend
harness
power
device
investigate
approaches.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 35796 - 35812
Published: Jan. 1, 2024
The
field
of
drug
discovery
has
experienced
a
remarkable
transformation
with
the
advent
artificial
intelligence
(AI)
and
machine
learning
(ML)
technologies.
However,
as
these
AI
ML
models
are
becoming
more
complex,
there
is
growing
need
for
transparency
interpretability
models.
Explainable
Artificial
Intelligence
(XAI)
novel
approach
that
addresses
this
issue
provides
interpretable
understanding
predictions
made
by
In
recent
years,
been
an
increasing
interest
in
application
XAI
techniques
to
discovery.
This
review
article
comprehensive
overview
current
state-of-the-art
discovery,
including
various
methods,
their
challenges
limitations
also
covers
target
identification,
compound
design,
toxicity
prediction.
Furthermore,
suggests
potential
future
research
directions
aims
provide
state
its
transform
field.
Future Internet,
Journal Year:
2023,
Volume and Issue:
15(8), P. 252 - 252
Published: July 27, 2023
In
the
era
of
digitalization
and
artificial
intelligence
(AI),
utilization
Metaverse
technology
has
become
increasingly
crucial.
As
world
becomes
more
digitized,
there
is
a
pressing
need
to
effectively
transfer
real-world
assets
into
digital
realm
establish
meaningful
relationships
between
them.
However,
existing
approaches
have
shown
significant
limitations
in
achieving
this
goal
comprehensively.
To
address
this,
research
introduces
an
innovative
methodology
called
Meta-Metaverse,
which
aims
enhance
immersive
experience
create
realistic
twins
across
various
domains
such
as
biology,
genetics,
economy,
medicine,
environment,
gaming,
twins,
Internet
Things,
intelligence,
machine
learning,
psychology,
supply
chain,
social
networking,
smart
manufacturing,
politics.
The
multi-layered
structure
platforms
allows
for
greater
flexibility
scalability,
offering
valuable
insights
potential
impact
advancing
science,
technology,
internet.
This
article
presents
detailed
description
proposed
its
applications,
highlighting
transform
scientific
inspire
groundbreaking
ideas
technology.
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 308 - 333
Published: April 1, 2024
This
study
examines
the
complex
array
of
impediments
and
potential
advantages
internet
things
(IoT)-enabled
secure
intelligent
smart
healthcare
devices
(IESISHDs)
associated
with
shift
towards
enabling
cities,
motivated
by
pressing
necessity
to
address
climate
change
promote
sustaining
systems.
looks
at
technological,
economic,
social
problems
that
need
be
solved
in
order
make
cities
smarter
IoT.
It
does
this
reading
a
lot
scholarly
sources.
Most
stupendously,
it
emphasizes
environmentally
sustainable
merits,
for
economic
growth,
improvements
societal
well-being
can
arise
from
transition.
further
depicts
selected
case
studies
demonstrate
empirical
evidence
provide
policy
recommendations.
The
paradigm
is
assist
governments
other
stakeholders
effectively
managing
human-associated
challenges
attain
maximum
value
an
innovative
future
guarantees
worldwide
prosperity
ecological
welfare.
Chemical Society Reviews,
Journal Year:
2024,
Volume and Issue:
53(8), P. 3774 - 3828
Published: Jan. 1, 2024
Engineered
2D
nanomaterials-based
smartphone-assisted
detection
approaches
integrated
with
IoMT,
focusing
on
reliable,
sensitive,
and
rapid
diagnostics
for
COVID-19.
Advances in medical technologies and clinical practice book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 42 - 69
Published: June 7, 2024
The
integration
of
artificial
intelligence
(AI),
the
internet
things
(IoT),
with
medical
devices
avails
recent
development
in
sector,
specifically
digital
health,
referred
to
as
(IoMT).
AIoMT
combines
technologies
like
body
movement
detection,
sleep
monitoring,
and
rehab
assessment,
simplifying
healthcare
offering
personalized
experiences.
By
leveraging
AI,
big
data,
mobile
internet,
cloud
computing,
microelectronics,
patient
data
is
efficiently
processed,
enhancing
healthcare's
efficiency
personalization.
During
pandemic,
AI
applications
saved
lives
by
streamlining
analysis.
This
chapter
explores
wearable
electronics
sensor
architecture
addresses
challenges
security,
aiming
elevate
standards.
It
also
outlines
future
research
opportunities
AIoMT.
Mayo Clinic Proceedings Digital Health,
Journal Year:
2024,
Volume and Issue:
2(1), P. 139 - 151
Published: Feb. 25, 2024
In
this
review,
we
describe
evidence
that
supports
building
a
metaverse
to
promote
healthy
longevity.
We
propose
the
offers
several
physical
advantages
(architecture,
music,
and
nature),
social
(accessibility,
affordability,
community-building,
relief
of
anxiety),
therapeutic
(immersive,
anti-inflammatory,
adjunctive
use
in
complementary
integrative
medicine).
Lifelogging
by
patients
may
help
clinicians
personalize
interventions
matching
data
outcomes.
Although
cannot
entirely
replace
our
current
model
care,
strategic
approach
will
ensure
adequate
resource
allocation
value
assessment.
collaborative
effort
between
Reulay,
Inc
Mayo
Clinic,
are
platform
for
delivery
personalized
idiographic
To
end,
using
specific
science-informed
art
design
reduce
stress
anxiety
patients,
with
progressive
addition
integrated
care
elements
connect
framework
treatment
response
biomarkers
relevant
This
review
is
commentary
on
thought
process
behind
effort.
Advances in healthcare information systems and administration book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 348 - 370
Published: May 17, 2024
The
healthcare
industry
is
transforming
significantly
due
to
the
rapid
emergence
of
internet
medical
things
(IoMT).
integration
cutting-edge
technologies
facilitates
this
paradigm
shift.
A
new
age
system
optimization
and
patient
care
being
ushered
in.
This
study
provides
a
comprehensive
overview
future
trends
open
issues
in
adopting
IoMTs.
It
explores
current
status
IoMT
forecasts
its
evolution.
examines
policy
regulatory
ramifications
essential
ethical
data
privacy
aspects.
More
still
elucidates
urgent
security,
interoperability,
scalability
difficulties
while
underscoring
imperative
for
collaborative
efforts
standards
within
industry.
affords
insights
research
by
presenting
set
unanswered
inquiries
corresponding
possible
implications,
accompanied
relevant
cases.
Finally,
it
emphasizes
significant
impact
can
have
on
availing
lightweight
digital
trust
architectures.
Algorithms,
Journal Year:
2023,
Volume and Issue:
16(7), P. 324 - 324
Published: June 30, 2023
This
paper
introduces
a
novel
algorithm
for
designing
low-pass
filter
(LPF)
and
microstrip
Wilkinson
power
divider
(WPD)
using
neural
network
surrogate
model.
The
proposed
is
applicable
to
various
microwave
devices,
enhancing
their
performance
frequency
response.
Desirable
output
parameters
can
be
achieved
the
designed
LPF
WPD
by
algorithm.
artificial
(ANN)
model
employed
calculate
dimensions
of
WPD,
resulting
in
efficient
design.
designs
incorporate
open
stubs,
stepped
impedances,
triangular-shaped
resonators,
meandered
lines
achieve
optimal
performance.
compact
occupies
size
only
0.15
λg
×
0.081
λg,
exhibits
sharp
response
within
transmission
band,
with
sharpness
parameter
approximately
185
dB/GHz.
operating
at
1.5
GHz,
outstanding
harmonics
suppression
from
2
GHz
20
attenuation
levels
exceeding
dB.
successfully
suppresses
12
unwanted
(2nd
13th).
obtained
results
demonstrate
that
design
effectively
accomplishes
designs,
exhibiting
desirable
such
as
high-frequency
suppression.
demonstrates
low
insertion
loss
0.1
dB
(S21
=
dB),
input
return
losses
30
(S11
−35
dB,
S22
−30
an
ports
isolation
more
than
32
(S23
−32
making
it
suitable
integration
into
modern
communication
systems.
Journal of Biomolecular Structure and Dynamics,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 20
Published: April 9, 2025
The
COVID-19
pandemic
had
a
profound
impact
on
global
health.
This
study
focuses
an
in-depth
analysis
of
the
structural
proteins
(Spike
(S),
Nucleocapsid
(N),
Membrane
(M),
and
Envelope
(E)
protein)
SARS-CoV-2
its
variants,
aiming
to
develop
multiepitope
vaccine
construct
that
targets
virus
independently
variants.
began
by
examining
genetic
variations
in
viral
relative
reference
strain
Wuhan-Hu2,
particularly
S,
M,
N,
E
proteins.
T-cell
epitope
predictions
for
MHC
Class-I
Class-II
binding
were
conducted,
shedding
light
potential
cytotoxic
helper
T
lymphocyte
recognition.
Identification
linear
B-cell
epitopes
laid
groundwork
antibody-based
humoral
immune
responses.
safety
efficacy
these
assessed
antigenicity,
allergenicity,
toxicity,
immunogenicity,
conservancy.
Population
coverage
indicated
promising
effectiveness
designed
construct.
By
incorporating
28
epitopes,
we
validated
was
stability
through
analysis.
Molecular
dynamics
simulations
docking
studies
revealed
robust
interaction
with
Toll-like
receptor
4
(TLR4).
Immune
simulation
suggested
could
induce
potent
response
enhancing
antibody
titers,
proliferation,
memory
cell
development,
activation
cells
natural
killer
upon
administration.
comprehensive
approach
offers
against
SARS-CoV-2,
broad
strong
immunogenicity.
Further
experimental
validation
holds
prospect
introducing
novel
candidate
aid
ongoing
battle
pandemic.
Frontiers in Computer Science,
Journal Year:
2025,
Volume and Issue:
7
Published: May 7, 2025
This
paper
presents
a
systematic
review
of
quantum
computing
approaches
to
healthcare-related
computational
problems,
with
an
emphasis
on
quantum-theoretical
foundations
and
algorithmic
complexity.
We
adopt
optimized
machine
learning
methodology—combining
Particle
Swarm
Optimization
(PSO)
Latent
Dirichlet
Allocation
(LDA)—to
analyze
the
literature
identify
key
research
themes
at
intersection
healthcare.
A
total
63
peer-reviewed
studies
were
analyzed,
41
categorized
under
first
domain
22
second.
approach
revealed
two
primary
directions:
(1)
for
artificial
intelligence
in
healthcare,
(2)
healthcare
data
security.
highlight
theoretical
advances
underlying
these
domains,
from
novel
algorithms
biomedical
cryptographic
protocols
securing
medical
information.
gradient
boosting
classifier
further
validates
our
taxonomy
by
reliably
distinguishing
between
categories
research,
demonstrating
robustness
identified
themes,
accuracy
84.2%,
precision
88.9%,
recall
F1-score
84.5%,
area
curve
0.875.
Interpretability
analysis
using
Local
Interpretable
Model-Agnostic
Explanations
(LIME)
exposes
features
each
category
(e.g.,
references
applications
versus
blockchain-based
security
frameworks),
offering
transparency
into
literature-driven
categorization,
latter
showing
most
significant
contributions
topic
assignment
(ranging
−0.133
+0.128).
Our
findings
underscore
that
offer
potential
enhance
security,
optimize
complex
diagnostic
computations,
provide
speedups
health
informatics.
also
outstanding
challenges—such
as
need
scalable
error-tolerant
hardware
integration—that
must
be
addressed
translate
advancements
real-world
clinical
impact.
study
emphasizes
importance
hybrid
quantum-classical
models
cross-disciplinary
bridge
gap
cutting-edge
theory
its
practical
