Health and Ecology Issues,
Journal Year:
2024,
Volume and Issue:
21(1), P. 7 - 17
Published: March 28, 2024
The
purpose
of
the
narrative
review
is
to
provide
a
descriptive
analysis
emerging
capabilities
artificial
intelligence
(AI)
improve
diagnosis,
prevention
and
treatment
various
diseases.
article
discusses
which
modern
AI
tools
can
be
used
in
clinical
practice,
healthcare
organization
medical
education.
paper
considers
aspects
systems,
are
mainly
computer
support
systems
for
decision-making
process
work.
Much
attention
paid
possibilities
generative
medicine.
Potential
applications
practice
have
been
investigated,
highlighting
promising
prospects
both
practitioners
their
patients.
limitations
associated
with
use
fields
medicine
described,
possible
ways
solving
them
suggested.
problems
information
security
ethical
constraints
introduction
outlined.
broad
integration
into
public
health
will
enhance
management
decision
support,
speed
up
disease
overall
quality
accessibility
services.
Pharmacological Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 107580 - 107580
Published: Jan. 1, 2025
A
significant
number
of
patients
develop
chronic
pain
after
surgery,
but
prediction
those
who
are
at
risk
is
currently
not
possible.
Thus,
prognostic
models
that
include
bio-psycho,
social
and
physiological
factors
in
line
with
the
complex
nature
would
be
urgently
required.
Here,
we
performed
a
translational
study
male
volunteers
before
an
experimental
incision
injury.
We
determined
multi-modal
ranging
from
characteristics,
psychological
questionnaires
to
blood
proteomics.
Outcome
measures
were
intensity
ratings
extent
area
hyperalgesia
mechanical
stimuli
surrounding
as
proxy
central
sensitization.
multi-step
logistic
regression
analysis
was
predict
outcome
based
on
feature
combinations
using
data-driven
cross-validation
model
development.
Phenotype-based
stratification
resulted
identification
low
high
responders
for
both
measures.
Regression
revealed
proteomic,
specific
psychophysical
parameters.
combinatorial
set
distinct
parameters
enabled
us
increased
accuracy
compared
single
features.
Remarkably,
responders,
protein
network
suggested
signature
characteristic
low-grade
inflammation.
Alongside,
silico
drug
repurposing
highlighted
potential
treatment
options
employing
antidiabetic
anti-inflammatory
drugs.
Taken
together,
present
here
integrated
pipeline
harnesses
bio-psycho-physiological
data
approach.
This
opens
new
avenues
clinical
application
goal
tostratify
identify
targets
well
mechanistic
correlates
postsurgical
pain.
GERMAN
CLINICAL
TRIALS
REGISTRY:
(DRKS-ID:
DRKS00016641).
Photonics,
Journal Year:
2025,
Volume and Issue:
12(3), P. 281 - 281
Published: March 18, 2025
Optical
techniques
to
study
neuronal
activity
have
greatly
advanced
the
field
of
neuroscience
over
recent
decades.
Multichannel
silicon-based
recording
probes
combined
with
optical
fibers
allow
for
simultaneous
and
manipulation
that
underpins
cognitive
processes
behavior.
The
development
neural
incorporating
organic
light-emitting
diodes
(OLEDs)
photodiode-based
photodetectors
(OPDs)
offer
additional
advantages
biocompatibility,
ultra-small
footprint,
multifunctionality,
low
cost.
These
developments
are
ushering
in
a
new
generation
devices
ideal
interrogation
vitro
vivo.
In
this
review,
we
discuss
progress
OLED-
OPD-based
probes,
their
applications
control
function,
current
challenges
prospects
future.
Frontiers in Neuroscience,
Journal Year:
2025,
Volume and Issue:
19
Published: April 28, 2025
Automated
machine-learning
algorithms
that
analyze
biomedical
signals
have
been
used
to
identify
sleep
patterns
and
health
issues.
However,
their
performance
is
often
suboptimal,
especially
when
dealing
with
imbalanced
datasets.
In
this
paper,
we
present
a
robust
state
(SlS)
classification
algorithm
utilizing
electroencephalogram
(EEG)
signals.
To
aim,
pre-processed
EEG
recordings
from
33
healthy
subjects.
Then,
functional
connectivity
features
recurrence
quantification
analysis
were
extracted
sub-bands.
The
graphical
representation
was
calculated
phase
locking
value,
coherence,
phase-amplitude
coupling.
Statistical
select
p
-values
of
less
than
0.05.
These
compared
between
four
states:
wakefulness,
non-rapid
eye
movement
(NREM)
sleep,
rapid
(REM)
during
presenting
auditory
stimuli,
REM
without
stimuli.
Eighteen
types
different
stimuli
including
instrumental
natural
sounds
presented
participants
REM.
selected
significant
train
novel
deep-learning
classifiers.
We
designed
graph-informed
convolutional
autoencoder
called
GICA
extract
high-level
the
features.
Furthermore,
an
attention
layer
based
on
rate
EEGs
incorporated
into
classifier
enhance
dynamic
ability
model.
proposed
model
assessed
by
comparing
it
baseline
systems
in
literature.
accuracy
SlS-GICA
99.92%
feature
set.
This
achievement
could
be
considered
real-time
automatic
applications
develop
new
therapeutic
strategies
for
sleep-related
disorders.
European Journal of Neuroscience,
Journal Year:
2025,
Volume and Issue:
61(7)
Published: April 1, 2025
In
the
terms
adopted
by
editors
of
this
special
issue
concerning
how
a
'philosopher's
toolkit'
might
contribute
to
progress
in
neuroscience,
paper
reports
posing
that
question
several
neuroscientists,
all
with
track
record
successfully
interacting
philosophers.
These
discussions
took
form
structured
interviews
following
methods
Barwich.
The
results
highlight
number
issues
these
neuroscientists
think
philosophers
can
help
them
solve.
Different
views
emerged
about
what
consists
of;
but
each
saw
some
important
roles
play
within
neuroscience
itself.
Transcripts
and
accompanying
analyses
reveal
prominent
welcome
their
contributions,
central
outstanding
questions
specific
research
fields
more
general
concerns
confront
scientists
beyond
those
neuroscience.
based
upon
should
be
science-in-practice,
especially
subset
recently
dubbed
'philosophers-in-science'.
They
also
who
are
less
familiar
professionally
glimpse
colleagues
find
potentially
valuable
such
interactions.
