Update on autoimmune dementia and its precursors
Behavioural Brain Research,
Год журнала:
2025,
Номер
unknown, С. 115460 - 115460
Опубликована: Янв. 1, 2025
Язык: Английский
Stimuli‐Responsive Nano Drug Delivery Systems for the Treatment of Neurological Diseases
Small,
Год журнала:
2025,
Номер
21(9)
Опубликована: Янв. 22, 2025
Abstract
Nanomaterials
with
unparalleled
physical
and
chemical
attributes
have
become
a
cornerstone
in
the
field
of
nanomedicine
delivery.
These
materials
can
be
engineered
into
various
functionalized
nanocarriers,
which
focus
research.
Stimulus‐responsive
nanodrug
delivery
systems
(SRDDS)
stand
out
as
sophisticated
class
nanocarriers
that
release
drugs
response
to
environmental
cues.
Due
complex
pathogenesis
multifaceted
pathological
environment
nervous
system,
developing
accurate
effective
drug
therapy
low
side‐effects
is
formidable
task.
In
recent
years,
SRDDS
been
widely
used
treatment
neurological
diseases.
By
customizing
align
specific
microenvironment
system
tissues
or
external
stimulation,
efficacy
enhanced.
This
review
provides
an
in‐depth
look
at
characteristics
diseases
highlights
case
studies
tailored
treat
these
disorders
based
on
unique
stimulation
criteria
triggers.
Additionally,
this
comprehensive
overview
progress
future
prospects
technology
diseases,
providing
valuable
guidance
for
its
transition
from
fundamental
research
clinical
application.
Язык: Английский
Gamma-aminobutyric acid and glutamate system dysregulation in a small population of Egyptian children with autism spectrum disorder
Metabolic Brain Disease,
Год журнала:
2025,
Номер
40(3)
Опубликована: Март 13, 2025
Язык: Английский
Artificial intelligence-driven prediction and validation of blood-brain barrier permeability and absorption, distribution, metabolism, excretion profiles in Natural Product Research Laboratory compounds
Biomedicine,
Год журнала:
2024,
Номер
14(4)
Опубликована: Дек. 1, 2024
Introduction:
Our
previous
research
demonstrated
that
a
large
language
model
(LLM)
based
on
the
transformer
architecture,
specifically
MegaMolBART
encoder
with
an
XGBoost
classifier,
effectively
predicts
blood-brain
barrier
(BBB)
permeability
of
compounds.
However,
coefficients
compounds
can
traverse
this
remain
unclear.
Additionally,
absorption,
distribution,
metabolism,
and
excretion
(ADME)
characteristics
substances
obtained
from
Natural
Product
Research
Laboratory
(NPRL)
at
China
Medical
University
Hospital
(CMUH)
have
not
yet
been
determined.
Язык: Английский