International Journal of Intelligent Systems,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
We
investigated
the
fusion
of
Intelligent
Internet
Medical
Things
(IIoMT)
with
depression
management,
aiming
to
autonomously
identify,
monitor,
and
offer
accurate
advice
without
direct
professional
intervention.
Addressing
pivotal
questions
regarding
IIoMT’s
role
in
identification,
its
correlation
stress
anxiety,
impact
machine
learning
(ML)
deep
(DL)
on
depressive
disorders,
challenges
potential
prospects
integrating
management
IIoMT,
this
research
offers
significant
contributions.
It
integrates
artificial
intelligence
(AI)
(IoT)
paradigms
expand
studies,
highlighting
data
science
modeling’s
practical
application
for
intelligent
service
delivery
real‐world
settings,
emphasizing
benefits
within
IoT.
Furthermore,
it
outlines
an
IIoMT
architecture
gathering,
analyzing,
preempting
employing
advanced
analytics
enhance
intelligence.
The
study
also
identifies
current
challenges,
future
trajectories,
solutions
domain,
contributing
scientific
understanding
management.
evaluates
168
closely
related
articles
from
various
databases,
including
Web
Science
(WoS)
Google
Scholar,
after
rejection
repeated
books.
shows
that
there
is
48%
growth
articles,
mainly
focusing
symptoms,
detection,
classification.
Similarly,
most
being
conducted
United
States
America,
trend
increasing
other
countries
around
globe.
These
results
suggest
essence
automated
monitoring,
suggestions
handling
depression.
Pharmacological Reviews,
Journal Year:
2024,
Volume and Issue:
76(3), P. 323 - 357
Published: Feb. 8, 2024
Over
the
last
six
decades,
lithium
has
been
considered
gold
standard
treatment
for
long-term
management
of
bipolar
disorder
due
to
its
efficacy
in
preventing
both
manic
and
depressive
episodes
as
well
suicidal
behaviors.
Nevertheless,
despite
numerous
observed
effects
on
various
cellular
pathways
biologic
systems,
precise
mechanism
through
which
stabilizes
mood
remains
elusive.
Furthermore,
there
is
recent
support
therapeutic
potential
other
brain
diseases.
This
review
offers
a
comprehensive
examination
contemporary
understanding
predominant
theories
concerning
diverse
mechanisms
underlying
lithium's
effects.
These
findings
are
based
investigations
utilizing
animal
models
neurodegenerative
psychiatric
disorders.
Recent
studies
have
provided
additional
significance
glycogen
synthase
kinase-3
(GSK3)
inhibition
crucial
mechanism.
research
shed
more
light
interconnections
between
GSK3-mediated
neuroprotective,
antioxidant,
neuroplasticity
processes.
Moreover,
advancements
human
valuable
insights
into
how
lithium-induced
modifications
at
homeostatic
synaptic
plasticity
level
may
play
pivotal
role
clinical
effectiveness.
We
focused
from
translational
suggesting
that
interface
with
microRNA
expression.
Finally,
we
exploring
repurposing
beyond
disorder.
important
clues
toward
developing
predictive
response
identifying
new
targets.
Significance
Statement
Lithium
drug
choice
disorder,
but
action
stabilizing
presents
latest
evidence
action.
strengthened
inhibition,
changes
plasticity,
regulation
expression
key
mechanisms,
providing
an
intriguing
perspective
help
bridge
mechanistic
gap
molecular
functions
stabilizer.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 12, 2024
Abstract
Depression
negatively
impacts
mood,
behavior,
and
mental
physical
health.
It
is
the
third
leading
cause
of
suicides
worldwide
leads
to
decreased
quality
life.
We
examined
18
genes
available
at
genetic
testing
registry
(GTR)
from
National
Center
for
Biotechnological
Information
investigate
molecular
patterns
present
in
depression-associated
genes.
Different
genotypes
differential
expression
are
responsible
ensuing
depression.
The
study,
investigated
codon
pattern
analysis,
which
might
play
imperative
roles
modulating
gene
Of
genes,
seven
two
tended
up-
down-regulate,
respectively,
and,
remaining
different
genotypes,
an
outcome
SNPs
were
alone
or
combination
with
conditions
associated
Codon
context
analysis
revealed
abundance
identical
GTG-GTG
CTG-CTG
pairs,
rarity
methionine-initiated
pairs.
based
on
usage,
preferred
codons,
rare,
be
used
constructing
a
deliverable
synthetic
construct
correct
level
human
body,
altered
depressive
state.
Other
signatures
also
role
evolutionary
forces
shaping
usage.
Discover Mental Health,
Journal Year:
2024,
Volume and Issue:
4(1)
Published: Jan. 4, 2024
Abstract
Depression
is
a
common
and
devastating
neuropsychiatric
symptom
in
the
elderly
patients
with
dementia.
In
particular,
nearly
80%
of
Alzheimer’s
Disease
dementia
experience
depression
during
disease
development
progression.
However,
it
unknown
whether
shares
same
molecular
mechanisms
as
presenting
primary
psychiatric
or
occurs
persists
through
alternative
mechanisms.
this
review,
we
discuss
how
clinical
presentation
treatment
differ
between
disease,
focus
on
major
depressive
disorder.
Then,
hypothesize
several
that
may
be
unique
to
such
neuropathological
changes,
inflammation,
vascular
events.
Finally,
existing
issues
future
directions
for
investigation
International Journal of Intelligent Systems,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
We
investigated
the
fusion
of
Intelligent
Internet
Medical
Things
(IIoMT)
with
depression
management,
aiming
to
autonomously
identify,
monitor,
and
offer
accurate
advice
without
direct
professional
intervention.
Addressing
pivotal
questions
regarding
IIoMT’s
role
in
identification,
its
correlation
stress
anxiety,
impact
machine
learning
(ML)
deep
(DL)
on
depressive
disorders,
challenges
potential
prospects
integrating
management
IIoMT,
this
research
offers
significant
contributions.
It
integrates
artificial
intelligence
(AI)
(IoT)
paradigms
expand
studies,
highlighting
data
science
modeling’s
practical
application
for
intelligent
service
delivery
real‐world
settings,
emphasizing
benefits
within
IoT.
Furthermore,
it
outlines
an
IIoMT
architecture
gathering,
analyzing,
preempting
employing
advanced
analytics
enhance
intelligence.
The
study
also
identifies
current
challenges,
future
trajectories,
solutions
domain,
contributing
scientific
understanding
management.
evaluates
168
closely
related
articles
from
various
databases,
including
Web
Science
(WoS)
Google
Scholar,
after
rejection
repeated
books.
shows
that
there
is
48%
growth
articles,
mainly
focusing
symptoms,
detection,
classification.
Similarly,
most
being
conducted
United
States
America,
trend
increasing
other
countries
around
globe.
These
results
suggest
essence
automated
monitoring,
suggestions
handling
depression.