Advances in medical technologies and clinical practice book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 169 - 194
Published: Dec. 27, 2024
The
use
of
artificial
intelligence
(AI)
in
healthcare
is
transforming
the
landscape
personalized
medicine,
providing
new
prospects
to
improve
patient
care
and
medical
outcomes.
This
article
explores
examine
into
transformational
potential
AI
healthcare,
focusing
on
its
present
uses,
advantages,
obstacles,
future
possibilities.
Artificial
Intelligence
has
capacity
quickly
correctly
analyze
large
volumes
data
resulted
substantial
advances
diagnostic
tools,
illness
prediction,
therapy
suggestions.
AI-powered
imaging
technology
predictive
analytics,
particular,
are
boosting
accuracy
enabling
diagnosis
early
on,
allowing
for
prompt
targeted
therapies.
greatly
advancing
which
adapts
modify
treatment
approaches
individual
genetic
profiles
distinct
health
situations.
AI-driven
genomics
analysis
speeding
up
discovery
disease
indicators
creation
tailored
medications.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(21), P. 11334 - 11334
Published: Oct. 22, 2024
Neurodegenerative
disorders
are
multiple
chronic
neurological
diseases
that
pose
a
serious
public
health
risk
to
our
society,
especially
among
the
aging
population
[...].
Frontiers in Molecular Neuroscience,
Journal Year:
2024,
Volume and Issue:
17
Published: June 17, 2024
Drug
discovery
is
a
generally
inefficient
and
capital-intensive
process.
For
neurodegenerative
diseases
(NDDs),
the
development
of
novel
therapeutics
particularly
urgent
considering
long
list
late-stage
drug
candidate
failures.
Although
our
knowledge
on
pathogenic
mechanisms
driving
neurodegeneration
growing,
additional
efforts
are
required
to
achieve
better
ultimately
complete
understanding
pathophysiological
underpinnings
NDDs.
Beyond
etiology
NDDs
being
heterogeneous
multifactorial,
this
process
further
complicated
by
fact
that
current
experimental
models
only
partially
recapitulate
major
phenotypes
observed
in
humans.
In
such
scenario,
multi-omic
approaches
have
potential
accelerate
identification
new
or
repurposed
drugs
against
multitude
underlying
One
advantage
for
implementation
these
overarching
tools
able
disentangle
disease
states
model
perturbations
through
comprehensive
characterization
distinct
molecular
layers
(i.e.,
genome,
transcriptome,
proteome)
up
single-cell
resolution.
Because
recent
advances
increasing
their
affordability
scalability,
use
omics
technologies
drive
nascent,
but
rapidly
expanding
neuroscience
field.
Combined
with
increasingly
advanced
vitro
models,
which
benefited
from
introduction
human
iPSCs,
multi-omics
shaping
paradigm
NDDs,
prediction
screening.
review,
we
discuss
examples,
main
advantages
open
challenges
targets
therapies
Neuroglia,
Journal Year:
2024,
Volume and Issue:
5(4), P. 488 - 504
Published: Dec. 5, 2024
Neurodegenerative
diseases
represent
a
significant
global
health
burden,
characterized
by
progressive
loss
of
neuronal
function
and
structure.
While
traditionally
viewed
as
primarily
disorders,
recent
research
has
highlighted
the
crucial
roles
neuroglia-astrocytes,
microglia,
oligodendrocytes
in
pathogenesis
progression
these
diseases.
This
review
explores
dual
nature
glial
cells
neurodegenerative
processes,
focusing
on
their
protective
potentially
harmful
functions
Alzheimer’s
disease,
Parkinson’s
multiple
sclerosis,
other
disorders.
We
examine
complex
interactions
between
different
cell
types
neurons,
highlighting
discoveries
glial-neuronal
metabolic
coupling,
neuroinflammation,
protein
aggregation.
Advanced
technologies,
such
single-cell
RNA
sequencing
spatial
transcriptomics,
have
revealed
unprecedented
heterogeneity
disease-specific
states,
reshaping
our
understanding
cells’
disease.
The
also
discusses
emerging
concepts
neuroglial
research,
including
role
extracellular
vesicles
disease
propagation,
epigenetic
regulation
function,
application
artificial
intelligence
biology.
Finally,
we
explore
therapeutic
implications
targeting
glia
diseases,
addressing
both
promising
avenues
challenges
developing
glial-focused
interventions.
By
integrating
advances
this
provides
comprehensive
overview
field
highlights
future
directions
for
development.
Understanding
neuroglia
is
more
effective
treatments
ultimately
improving
patient
outcomes.
Advances in medical technologies and clinical practice book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 169 - 194
Published: Dec. 27, 2024
The
use
of
artificial
intelligence
(AI)
in
healthcare
is
transforming
the
landscape
personalized
medicine,
providing
new
prospects
to
improve
patient
care
and
medical
outcomes.
This
article
explores
examine
into
transformational
potential
AI
healthcare,
focusing
on
its
present
uses,
advantages,
obstacles,
future
possibilities.
Artificial
Intelligence
has
capacity
quickly
correctly
analyze
large
volumes
data
resulted
substantial
advances
diagnostic
tools,
illness
prediction,
therapy
suggestions.
AI-powered
imaging
technology
predictive
analytics,
particular,
are
boosting
accuracy
enabling
diagnosis
early
on,
allowing
for
prompt
targeted
therapies.
greatly
advancing
which
adapts
modify
treatment
approaches
individual
genetic
profiles
distinct
health
situations.
AI-driven
genomics
analysis
speeding
up
discovery
disease
indicators
creation
tailored
medications.
