2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
Год журнала:
2023,
Номер
unknown, С. 2790 - 2797
Опубликована: Дек. 5, 2023
The
landscape
of
cognitive
states
and
their
underlying
neurobiological
mechanisms
has
been
significantly
illuminated
through
advancements
in
neuroimaging
computational
modeling.
This
study
introduces
an
integrated
approach
that
harnesses
network
analysis
machine
learning
techniques
to
characterize
differentiate
groups—Normal
Control
(NC),
Mild
Cognitive
Impairment
(MCI),
Alzheimer's
Disease
(AD).
Structural
networks
are
formulated
analyzed
based
on
diffusion
tensor
data
a
fusion
graph
theory
mass-spring
model
methodologies.
Notably,
features
extracted
from
both
theoretic
computations
drive
two-step
framework.
process
commences
with
random
forest-based
feature
extraction,
followed
by
support
vector-based
classification
approach,
culminating
impressive
accuracy
82.7%
for
classifying
individuals
across
groups,
AUC
0.893.
significance
is
underscored
the
pressing
need
enhanced
impairment
detection
differentiation
strategies.
identified
offer
nuanced
insights
into
intricate
interplay
among
brain
structure,
dynamics,
function,
thereby
bridging
gaps
our
understanding
decline
neurodegeneration.
By
fortifying
diagnostic
repertoire
facilitating
personalized
interventions,
this
research
paves
way
refined
clinical
practices.
Alzheimer's
disease
is
a
developing
public
health
concern
in
aging
communities
that
affects
sizable
section
of
the
global
population.
The
risk
increases
with
age;
it
one-third
males
and
two-thirds
women.
This
research
attempts
to
assess
effect
nano-selenium
thymoquinone
on
Nrf2
gene
expression
levels
(AD).
There
were
five
identical
groups
50
albino
male
rats:
control
group
was
healthy;
an
AD
positive
group;
received
(5
mg/kg);
(2
both.
duration
treatment
4
weeks.
brain
tissues
evaluated
using
real-time
PCR.
mean
nano-selenium-treated
rats,
thymoquinone-treated
rats
given
both
treatments
all
increased
significantly
compared
no
treatment.
study
showed
elevated
AD.
Alzheimer s & Dementia,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 16, 2025
Abstract
INTRODUCTION
The
Virginia
Memory
Project
(VMP)
is
a
statewide
epidemiological
registry
for
Alzheimer's
disease
and
related
disorders
(ADRD)
other
neurodegenerative
conditions.
It
aims
to
support
dementia
research,
policy,
care
by
leveraging
the
Centers
Disease
Control
(CDC)
Healthy
Brain
Initiative
(HBI)
Roadmap.
METHODS
To
capture
comprehensive
data,
VMP
integrates
self‐enrollment
automatic
enrollment
using
Virginia's
All‐Payer
Claims
Database
(APCD).
also
adapts
Behavioral
Risk
Factors
Surveillance
Survey
(BRFSS)
modules
self‐reported
cognitive
caregiving
offering
connections
clinical
services,
education.
RESULTS
successfully
codified
in
2024
general
assembly
session.
DISCUSSION
demonstrates
novel
approach
Related
Disorders
surveillance
combining
traditional
functions
with
community
engagement
workforce
development.
Future
efforts
will
focus
on
increasing
enrollment,
especially
among
underrepresented
groups,
enhance
data‐driven
policy
Virginia.
Highlights
Integrated
domains
into
newest
Commonwealth
of
Collected
data
identified
gaps
current
research
diseases.
Aimed
mitigate
barriers
identifying
significant
underdiagnosis
underrepresentation
racial
ethnic
minority
groups.
Developed
solutions
alleviate
disparities
connect
individuals
physicians,
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 10, 2025
To
investigate
the
knowledge,
attitudes,
and
practices
(KAP)
of
elderly
population
regarding
their
intrinsic
capacity,
as
defined
by
World
Health
Organization
a
marker
healthy
aging.
A
cross-sectional
study
was
conducted
at
Shanghai
Traditional
Chinese
Medicine
Hospital
from
July
to
November
2023.
Participants'
socio-demographic
information
KAP
scores
were
collected
through
self-designed
questionnaire.
total
507
individuals
participated,
with
53.25%
being
male
mean
age
70.76
±
7.63
years.
The
attitude,
practice
19.58
8.85,
30.07
4.81,
34.71
7.77,
respectively.
Pearson's
correlation
analysis
showed
significant
positive
correlations
among
(all
P
<
0.001).
Multivariate
logistic
regression
indicated
that
knowledge
(OR
=
1.127,
0.001),
attitude
1.189,
current
employment
status
2.759,
0.009)
associated
proactive
practices.
Structural
equation
modeling
demonstrated
had
direct
influence
on
(β
0.572,
0.001)
0.776,
while
directly
impacted
0.412,
reveals
lack
but
have
attitudes
behaviors
about
capacity.
Enhancing
education
is
vital
for
aging
well-being.
Ethnicity and Health,
Год журнала:
2025,
Номер
unknown, С. 1 - 20
Опубликована: Май 7, 2025
The
American
Indian
and
Alaska
Native
(AI/AN)
population
is
increasing
AI/AN
people
are
living
longer
than
ever
before.
Although
aging-related
health
issues
such
as
cognitive
impairment,
dementia,
Alzheimer's
disease
(AD)
becoming
more
visible
among
this
population,
reliable
data
on
AD
prevalence
risk
factors
nearly
nonexistent.
Concurrently,
precision
medicine
(PM)
has
demonstrated
significant
potential
for
detecting
treating
diseases
AD.
For
PM
to
promote
equity
underserved
populations,
it
must
not
exacerbate
existing
disparities
bias
in
research.
There
also
little
information
about
preferences
communicating
regarding
AD,
PM,
or
recruitment
into
clinical
trials.
Communication
barriers
few
known
facilitators
contribute
low
rates
of
research
participation.
This
study
seeks
address
the
gaps
communities
knowledge
of,
attitudes
towards,
interest
participation
AD-related
efforts.
We
designed
a
three-armed
RCT
determine
effect
culturally
tailored
brochure
video
compared
non-tailored
materials.
Participants
were
recruited
Rapid
City,
South
Dakota
required
meet
following
eligibility
criteria:
1)
identify
AI/AN;
2)
be
able
speak,
read,
understand
English;
3)
aged
40
older;
4)
have
decisional
capacity
consent
sign
date
informed
document.
enrolled
914
812
been
randomized
condition.
mean
age
54
years
(standard
deviation
=
10.3
years);
62%
female.
Overall,
22%
reported
parent,
grandparent
sibling
diagnosed
with
family
member
an
other
type
dementia.
One
quarter
(25%)
participants
having
undiagnosed
memory
problem
themselves,
problems.
Of
participants,
743
(72%)
registry.
will
inform
future
efforts
ADRD-focused
Enrollment
Disease-Precision
Medicine
(AD-PM)
Registry
provide
opportunity
topic
partnership
population.
