Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Aug. 8, 2024
Abstract
This
study
explores
integrating
blockchain
technology
into
the
Internet
of
Medical
Things
(IoMT)
to
address
security
and
privacy
challenges.
Blockchain’s
transparency,
confidentiality,
decentralization
offer
significant
potential
benefits
in
healthcare
domain.
The
research
examines
various
components,
layers,
protocols,
highlighting
their
role
IoMT.
It
also
IoMT
applications,
challenges,
methods
for
enhance
security.
Blockchain
integration
can
be
vital
securing
managing
this
data
while
preserving
patient
privacy.
opens
up
new
possibilities
healthcare,
medical
research,
management.
results
provide
a
practical
approach
handling
large
amount
from
devices.
strategy
makes
effective
use
resource
fragmentation
encryption
techniques.
is
essential
have
well-defined
standards
norms,
especially
sector,
where
upholding
safety
protecting
confidentiality
information
are
critical.
These
illustrate
that
it
follow
like
HIPAA,
help
ensure
these
criteria
met.
Furthermore,
enhancing
inter-system
communication
industry
maintaining
protection.
highlight
effectiveness
blockchain’s
consistency
cryptographic
techniques
combining
identity
management
protection,
integrity.
an
unchangeable
distributed
ledger
system.
In
short,
paper
provides
important
insights
how
may
transform
by
effectively
addressing
challenges
generating
legal,
safe,
interoperable
solutions.
Researchers,
doctors,
graduate
students
audience
our
paper.
Procedia Computer Science,
Journal Year:
2024,
Volume and Issue:
237, P. 645 - 658
Published: Jan. 1, 2024
Blockchain-based
decentralized
technology
has
gained
a
lot
of
attractions
and
interest
in
academia
industry.
This
peer-to-peer
transparent
blockchain
network
makes
it
an
acceptable
technology.
many
great
specifications
such
as
transparency,
immutability,
irreversibility
auditability.
Bitcoin,
the
first
most
successful
application,
achieves
much
success
recent
years.
survey
article
attempts
to
outline
extensive
technology,
investigating
its
structures,
various
protocol
layers,
features,
value,
challenges,
applications.
Electronics,
Journal Year:
2024,
Volume and Issue:
13(6), P. 1137 - 1137
Published: March 20, 2024
This
paper
explores
the
concept
of
digital
identity
in
evolving
landscape
Web
3.0,
focusing
on
development
and
implications
a
novel
authentication
scheme
using
verifiable
credentials.
The
background
sets
stage
by
placing
within
broad
context
3.0′s
decentralized,
blockchain-based
internet,
highlighting
transition
from
earlier
web
paradigms.
methods
section
outlines
theoretical
framework
technologies
employed,
such
as
blockchain,
smart
contracts,
cryptographic
algorithms.
results
summarize
main
findings,
including
proposed
scheme’s
ability
to
enhance
user
control,
security,
privacy
interactions.
Finally,
conclusions
discuss
broader
this
for
future
online
transactions
management,
emphasizing
shift
towards
self-sovereignty
reduced
reliance
centralized
authorities.
Blockchains,
Journal Year:
2023,
Volume and Issue:
1(2), P. 73 - 89
Published: Nov. 8, 2023
Utilizing
the
fundamental
characteristics
of
decentralization,
immutability,
and
transparency
blockchain
technology,
healthcare
industry
has
made
notable
advancements
in
incorporating
it
over
past
five
years.
This
review
examines
progress
challenges
encountered
this
critical
study
by
assessing
124
articles
published
MDPI
between
2018
current
date.
Examining
blockchain’s
potential
uses,
like
safe
data
exchange
interoperability
supply
chain
management
electronic
health
records,
provides
exciting
new
directions
for
future
healthcare.
Blockchain
technology
can
greatly
increase
efficiency
cost-effectiveness
guaranteeing
integrity,
protecting
patient
privacy,
reducing
administrative
procedures.
paper
objectively
evaluates
advancement
through
a
thorough
analysis
real-world
applications
research
projects.
By
highlighting
both
its
advantages
disadvantages,
seeks
to
add
continuing
conversation
about
how
will
influence
way
is
managed
delivered
future.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(20), P. 9459 - 9459
Published: Oct. 16, 2024
Federated
learning,
as
a
novel
distributed
machine
learning
mode,
enables
the
training
of
models
on
multiple
devices
while
ensuring
data
privacy.
However,
existence
single-point-of-failure
bottlenecks,
malicious
threats,
scalability
federated
implementation,
and
lack
incentive
mechanisms
have
seriously
hindered
development
technology.
In
recent
years,
ledger,
blockchain
has
characteristics
decentralization,
tamper-proof,
transparency,
security,
etc.,
which
can
solve
issues
encountered
in
above-mentioned
learning.
Particularly,
integration
leads
to
new
paradigm,
called
blockchain-based
(BFL),
been
successfully
applied
many
application
scenarios.
This
paper
aims
provide
comprehensive
review
efforts
More
concretely,
we
propose
design
taxonomy
models,
along
with
providing
summary
state
art.
Various
applications
based
are
introduced.
Finally,
expand
current
trends
perspectives
pertaining
this
exciting
field.
Discover Internet of Things,
Journal Year:
2024,
Volume and Issue:
4(1)
Published: Oct. 23, 2024
The
incorporation
of
Artificial
Intelligence
(AI)
into
the
fields
Neurosurgery
and
Neurology
has
transformed
landscape
healthcare
industry.
present
study
describes
seven
dimensions
AI
that
have
way
providing
care,
diagnosing,
treating
patients.
It
exhibited
unparalleled
accuracy
in
analyzing
complex
medical
imaging
data
expediting
precise
diagnoses
neurological
conditions.
also
enabled
personalized
treatment
plans
by
harnessing
patient-specific
genetic
information,
promising
more
effective
therapies.
For
instance,
AI-powered
surgical
robots
brought
precision
remote
capabilities
to
neurosurgical
procedures,
reducing
human
error.
In
AI,
machine
learning
models
predict
disease
progression,
optimizing
resource
allocation
patient
whereas
wearable
devices
with
provide
continuous
monitoring,
enable
early
intervention
for
chronic
accelerated
drug
discovery
vast
datasets,
potentially
leading
breakthrough
Chatbots
virtual
assistants
powered
enhance
engagement
adherence
plans.
holds
promise
further
personalization
augmented
decision-making,
earlier
intervention,
development
groundbreaking
treatments.
mainly
focuses
on
blockchain
technology
provides
a
reasonable
understanding
associated
issues
challenges
along
its
solutions.
will
allow
professionals
advance
field
contribute
towards
improvement
an
individual's
well-being
when
facing
challenges.
Diagnostics,
Journal Year:
2025,
Volume and Issue:
15(3), P. 251 - 251
Published: Jan. 22, 2025
Background/Objectives:
The
methylation
status
of
the
O6-methylguanine-DNA
methyltransferase
(MGMT)
promoter
in
gliomas
has
emerged
as
a
critical
biomarker
for
prognosis
and
treatment
response.
Conventional
methods
assessing
MGMT
methylation,
such
methylation-specific
PCR,
are
invasive
require
tissue
sampling.
Methods:
A
comprehensive
literature
search
was
performed
compliance
with
updated
PRISMA
2020
guidelines
within
electronic
databases
MEDLINE/PubMed,
Scopus,
IEEE
Xplore.
Search
terms,
including
“MGMT”,
“methylation”,
“glioma”,
“glioblastoma”,
“machine
learning”,
“deep
“radiomics”,
were
adopted
various
MeSH
combinations.
Original
studies
English,
Italian,
German,
French
languages
considered
inclusion.
Results:
This
review
analyzed
34
conducted
last
six
years,
focusing
on
using
radiomics
(RD),
deep
learning
(DL),
or
combined
approaches.
These
utilized
radiological
data
from
public
(e.g.,
BraTS,
TCGA)
private
institutional
datasets.
Sixteen
focused
exclusively
glioblastoma
(GBM),
while
others
included
low-
high-grade
gliomas.
Twenty-seven
reported
diagnostic
accuracy,
fourteen
achieving
values
above
80%.
use
DL
RD
generally
resulted
higher
sensitivity,
specificity,
although
some
lower
minimum
accuracy
compared
to
single
model.
Conclusions:
integration
offers
powerful,
non-invasive
tool
precisely
recognizing
gliomas,
paving
way
enhanced
personalized
medicine
neuro-oncology.
heterogeneity
study
populations,
sources,
methodologies
reflected
complexity
pipeline
machine
algorithms,
which
may
general
standardization
be
implemented
clinical
practice.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 8, 2024
The
volume
of
data
analysis
for
medical
device
post-market
surveillance
(PMS)
has
increased
dramatically
in
recent
years.
It
is
the
more
stringent
and
intricate
regulatory
criteria
health
authorities
that
are
meant
to
improve
safety
review.
As
regulators
scrutinize
closely,
proactive
approaches
PMS
processes
becoming
crucial.
To
solve
some
issues
brought
on
by
this
shifting
landscape,
new
technologies
have
been
investigated.
This
study
envisages
technical
features
blockchain
technology
(BCT)
its
role
enhancing
devices.
address
aforementioned
challenges,
our
model
involves
establishment
a
secure,
permissioned
management,
utilizing
proof-of-authority
consensus
mechanism.
framework
will
exclusively
permit
carefully
vetted
designated
set
participants
validate
transactions
record
them
ledger.
utilization
BCT
holds
potential
introduce
enhanced
efficiency
provide
several
advantages
various
stakeholders
involved
procedure,
including
support
emerging
efforts.
