Nanomedicine,
Год журнала:
2024,
Номер
20(2), С. 225 - 241
Опубликована: Дек. 26, 2024
The
use
of
nanoparticles
(NPs)
in
treatment
diseases
have
increased
exponentially
recently,
giving
rise
to
the
science
nanomedicine.
safety
these
NPs
humans
has
also
led
nanotoxicology.
Due
a
dearth
both
readily
available
models
and
precise
bio-dispersion
characterization
techniques,
nanotoxicological
research
obviously
been
constrained.
However,
ensuing
years
were
notable
for
emergence
improved
synthesis
methods
tools.
Major
advances
made
linking
certain
physical
variables,
paralleling
improvements
size,
shape,
or
coating
factors
resulting
physiological
reactions.
Although
significant
progress
contribution
development
nanotoxicology,
however,
it
faces
numerous
difficulties
technical
constraints
distinct
from
those
conventional
toxicological
assessment
as
attempts
improve
therapeutic
effects
medicines.
Determining
thorough
standards,
standardizing
dosimetry,
assessing
kinetics
ions
dissolving
enhancing
accuracy
vitro-in
vivo
correlation
efficiency,
defining
restrictions
on
exposure
protection
are
some
most
important
pressing
concerns.
This
article
will
explore
past
advancement
potential
prospects
standard
models,
emphasizing
findings
earlier
studies
examining
current
challenges,
insight
way
forward.
This
article
explores
the
significant
impact
that
artificial
intelligence
(AI)
could
have
on
food
safety
and
nutrition,
with
a
specific
focus
use
of
machine
learning
neural
networks
for
disease
risk
prediction,
diet
personalization,
product
development.
Specific
AI
techniques
explainable
(XAI)
are
highlighted
their
potential
in
personalizing
recommendations,
predicting
models
prevention,
enhancing
data-driven
approaches
to
production.
The
also
underlines
importance
high-performance
computing
infrastructures
data
management
strategies,
including
operations
(DataOps)
efficient
pipelines
findable,
accessible,
interoperable,
reusable
(FAIR)
principles
open
standardized
sharing.
Additionally,
it
concept
sharing
integration
algorithms
industry
enhance
It
highlights
METROFOOD-IT
project
as
best
practice
example
implementing
advancements
agri-food
sector,
demonstrating
successful
interdisciplinary
collaboration.
fosters
both
security
transparency
within
decentralized
space
model,
ensuring
reliable
However,
challenges
such
privacy,
model
interoperability,
ethical
considerations
remain
key
obstacles.
discusses
need
ongoing
collaboration
between
scientists,
nutritionists,
technologists
effectively
address
these
challenges.
Future
research
should
refining
improve
reliability
exploring
how
integrate
technologies
into
everyday
nutritional
practices
better
health
outcomes.
Frontiers in Endocrinology,
Год журнала:
2024,
Номер
15
Опубликована: Окт. 11, 2024
Background
Diabetic
foot
ulcers
(DFU)
are
a
major
complication
associated
with
significant
morbidity
and
mortality.
While
numerous
studies
have
investigated
risk
factors
for
these
in
general,
few
focused
specifically
on
patients
Neurovascular
Complications
of
Diabetes.
This
study
aimed
to
evaluate
the
prevalence
DFU
this
specific
population.
Methods
We
analyzed
data
from
National
Institutes
Health
(NIS)
database
years
2017-2019,
involving
cohort
161,834
aged
over
18
who
were
diagnosed
neurovascular
complications
diabetes.
Demographic
characteristics
(age,
gender,
ethnicity),
hospital
characteristics,
comorbidities,
other
relevant
included
analysis.
A
binary
logistic
regression
model
was
generated
identify
independent
DFU.
Results
The
among
diabetes
29.4%
during
period
2017
2019.
Compared
without
DFU,
those
had
longer
hospitalization
times
higher
costs.
multiple
analysis
revealed
that
Iron-deficiency
anemia
(OR,
1.10;
95%
CI,
1.01-1.11;
P
=0.019),
Hypertension
1.07;
1.03-1.11;
=0.001),
Obesity
1.08;
1.06-1.11;
<0.001),
Peripheral
vascular
disorders
(PVD)
1.69;
1.65-1.74;
Osteomyelitis
7.10;
6.89-7.31;
Tinea
pedis
1.89;
1.59-2.26;
Sepsis
1.24;
1.20-1.28;
onychomycosis
1.26;
1.13-1.42;
<0.001)
predictors
Conclusion
found
high
Identifying
addressing
such
as
deficiency
anemia,
hypertension,
obesity,
PVD,
infections,
conditions
may
contribute
reducing
vulnerable
Nanomedicine,
Год журнала:
2024,
Номер
20(2), С. 225 - 241
Опубликована: Дек. 26, 2024
The
use
of
nanoparticles
(NPs)
in
treatment
diseases
have
increased
exponentially
recently,
giving
rise
to
the
science
nanomedicine.
safety
these
NPs
humans
has
also
led
nanotoxicology.
Due
a
dearth
both
readily
available
models
and
precise
bio-dispersion
characterization
techniques,
nanotoxicological
research
obviously
been
constrained.
However,
ensuing
years
were
notable
for
emergence
improved
synthesis
methods
tools.
Major
advances
made
linking
certain
physical
variables,
paralleling
improvements
size,
shape,
or
coating
factors
resulting
physiological
reactions.
Although
significant
progress
contribution
development
nanotoxicology,
however,
it
faces
numerous
difficulties
technical
constraints
distinct
from
those
conventional
toxicological
assessment
as
attempts
improve
therapeutic
effects
medicines.
Determining
thorough
standards,
standardizing
dosimetry,
assessing
kinetics
ions
dissolving
enhancing
accuracy
vitro-in
vivo
correlation
efficiency,
defining
restrictions
on
exposure
protection
are
some
most
important
pressing
concerns.
This
article
will
explore
past
advancement
potential
prospects
standard
models,
emphasizing
findings
earlier
studies
examining
current
challenges,
insight
way
forward.
