Artificial Intelligence-driven and technological innovations in the diagnosis and management of substance use disorders
International Review of Psychiatry,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 7
Published: Dec. 2, 2024
Substance
Use
Disorders
(SUD)
lead
to
a
collection
of
health
challenges
such
as
overdoses
and
clinical
diseases.
Populations
that
are
vulnerable
lack
straightforward
treatment
access
significant
economic
social
effects
linked
SUD.
The
ongoing
advances
in
technology,
especially
Artificial
Intelligence
(AI),
promise
new
ways
reduce
the
SUD,
refine
standards,
minimize
risk
relapse
through
tailored
plans.
Recent
innovations
functional
neuroimaging
techniques,
fMRI,
have
led
ability
detect
brain
patterns
associated
with
drug
use,
biomarkers
blood
testing
provide
crucial
diagnostic
support.
In
addition,
digital
platforms
applied
for
behavioral
assessment
supported
by
AI
natural
language
processing
improve
early
recognition
substance
consumption
trends,
allowing
targeted
interventions
reliant
on
real-time
data.
Using
pharmacogenetics
resources
like
mobile
apps
wearable
devices
makes
development
care
programs
continuously
track
mental
health,
physical
changes
possible.
At
core
ethical
issues
related
application
SUD
rights
patients
their
privacy
protected
ensure
all
people
justly
these
technologies.
advancement
models
provides
possibilities
support
judgment
enhance
patient
outcomes
Language: Английский
Reduction of Alcohol-Dependent Lung Pathological Features in Rats Treated with Fenofibrate
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(23), P. 12814 - 12814
Published: Nov. 28, 2024
Alcohol
use
disorder
(AUD)
is
a
public
health
problem
characterized
by
marked
increment
in
systemic
inflammation.
In
the
last
few
years,
it
has
been
described
as
role
of
alcohol
neuroinflammation
affecting
some
aspects
neuronal
function.
Interestingly,
inflammation
reduced
with
fenofibrate
treatment,
PPARα
agonist
used
to
treat
dyslipidemia.
On
other
hand,
associated
chronic
and
fibrosis
lungs,
their
normal
function
increasing
respiratory
infections.
However,
deep
characterization
worsening
diseases
not
completely.
this
work,
we
present
novel
study
using
rats
treated
evaluate
relevant
features
disease:
inflammation,
mucus
hypersecretion,
fibrosis.
The
analysis
extracted
lungs
showed
an
inflammatory
infiltrates
pro-inflammatory
cytokine
levels
alcohol.
treatment
decreased
expression
these
markers
observed
lungs.
mucin
Muc5ac
animals
was
markedly
if
were
subsequently
fenofibrate.
Finally,
documented
collagen
deposition
around
airways
compared
control
animals.
level
similar
These
results
pathological
Moreover,
attenuated
due
fibrate
which
allows
us
glimpse
drug’s
promising
lung
anti-inflammatory
therapy.
Language: Английский