Alzheimer’s Disease: Exploring Pathophysiological Hypotheses and the Role of Machine Learning in Drug Discovery
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(3), P. 1004 - 1004
Published: Jan. 24, 2025
Alzheimer’s
disease
(AD)
is
a
major
neurodegenerative
dementia,
with
its
complex
pathophysiology
challenging
current
treatments.
Recent
advancements
have
shifted
the
focus
from
traditionally
dominant
amyloid
hypothesis
toward
multifactorial
understanding
of
disease.
Emerging
evidence
suggests
that
while
amyloid-beta
(Aβ)
accumulation
central
to
AD,
it
may
not
be
primary
driver
but
rather
part
broader
pathogenic
process.
Novel
hypotheses
been
proposed,
including
role
tau
protein
abnormalities,
mitochondrial
dysfunction,
and
chronic
neuroinflammation.
Additionally,
gut–brain
axis
epigenetic
modifications
gained
attention
as
potential
contributors
AD
progression.
The
limitations
existing
therapies
underscore
need
for
innovative
strategies.
This
study
explores
integration
machine
learning
(ML)
in
drug
discovery
accelerate
identification
novel
targets
candidates.
ML
offers
ability
navigate
AD’s
complexity,
enabling
rapid
analysis
extensive
datasets
optimizing
clinical
trial
design.
synergy
between
these
themes
presents
promising
future
more
effective
Language: Английский
Syncytia: From a Historical Resumption to Epigenetic Advances
DNA and cell biology reports.,
Journal Year:
2025,
Volume and Issue:
6(1), P. 36 - 45
Published: March 13, 2025
Language: Английский
Operationalizing Team Science at the Academic Cancer Center Network to Unveil the Structure and Function of the Gut Microbiome
Journal of Clinical Medicine,
Journal Year:
2025,
Volume and Issue:
14(6), P. 2040 - 2040
Published: March 17, 2025
Oncologists
increasingly
recognize
the
microbiome
as
an
important
facilitator
of
health
well
a
contributor
to
disease,
including,
specifically,
cancer.
Our
knowledge
etiologies,
mechanisms,
and
modulation
states
that
ameliorate
or
promote
cancer
continues
evolve.
The
progressive
refinement
adoption
“omic”
technologies
(genomics,
transcriptomics,
proteomics,
metabolomics)
utilization
advanced
computational
methods
accelerate
this
evolution.
academic
center
network,
with
its
immediate
access
extensive,
multidisciplinary
expertise
scientific
resources,
has
potential
catalyze
research.
Here,
we
review
our
current
understanding
role
gut
in
prevention,
predisposition,
response
therapy.
We
underscore
promise
operationalizing
network
uncover
structure
function
microbiome;
highlight
unique
microbiome-related
expert
resources
available
at
City
Hope
Comprehensive
Cancer
Center
example
team
science
achieve
novel
clinical
discovery.
Language: Английский