Nanomedicine,
Journal Year:
2024,
Volume and Issue:
20(2), P. 225 - 241
Published: Dec. 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.
Nanomaterials,
Journal Year:
2024,
Volume and Issue:
14(13), P. 1085 - 1085
Published: June 25, 2024
Carbon-based
nanomaterials,
such
as
carbon
quantum
dots
(CQDs)
and
2D
nanosheets
(graphene,
graphene
oxide,
graphdiyne),
have
shown
remarkable
potential
in
various
biological
applications.
CQDs
offer
tunable
photoluminescence
excellent
biocompatibility,
making
them
suitable
for
bioimaging,
drug
delivery,
biosensing,
photodynamic
therapy.
Additionally,
CQDs'
unique
properties
enable
bioimaging-guided
therapy
targeted
imaging
of
biomolecules.
On
the
other
hand,
exhibit
exceptional
physicochemical
attributes,
with
excelling
biosensing
also
delivery
antimicrobial
applications,
graphdiyne
tissue
engineering.
Their
properties,
porosity
high
surface
area,
contribute
to
controlled
release
enhanced
regeneration.
However,
challenges,
including
long-term
biocompatibility
large-scale
synthesis,
necessitate
further
research.
Potential
future
directions
encompass
theranostics,
immunomodulation,
neural
interfaces,
bioelectronic
medicine,
expanding
bioimaging
capabilities.
In
summary,
both
hold
promise
revolutionize
biomedical
sciences,
offering
innovative
solutions
improved
therapies
diverse
contexts.
Addressing
current
challenges
will
unlock
their
full
can
shape
medicine
biotechnology.
Computational and Structural Biotechnology Journal,
Journal Year:
2024,
Volume and Issue:
25, P. 127 - 142
Published: June 15, 2024
This
report
demonstrates
a
case
study
within
the
ASINA
project,
aimed
at
instantiating
roadmap
with
quantitative
metrics
for
Safe(r)
and
(more)
Sustainable
by
Design
(SSbD)
options.
We
begin
description
of
ASINA's
methodology
across
product
lifecycle,
outlining
elements
within:
Physical-Chemical
Features
(PCFs),
Key
Decision
Factors
(KDFs),
Performance
Indicators
(KPIs).
Subsequently,
we
delve
in
proposed
decision
support
tool
implementing
SSbD
objectives
various
dimensions—functionality,
cost,
environment,
human
health
safety—within
broader
European
context.
then
provide
an
overview
technical
processes
involved,
including
design
rationales,
experimental
procedures,
tools/models
developed
delivering
nano-silver-based
antimicrobial
textile
coatings.
The
result
is
pragmatic,
actionable
intended
to
be
estimated
assessed
future
applications
adopted
common
aligned
EU's
Green
Deal
objectives.
methodological
approach
transparently
thoroughly
described
inform
similar
projects
through
integration
KPIs
into
foster
data-driven
decision-making.
Specific
results
project
data
are
beyond
this
work's
scope,
which
demonstrate
thus
SSbD-oriented
innovation
nanotechnology.
Journal of Nanobiotechnology,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: April 24, 2025
Engineered
nanomaterials
(ENMs)
have
aroused
extensive
interest
in
agricultural,
industrial,
and
medical
applications.
The
integration
of
ENMs
into
the
agricultural
systems
aligns
with
principles
United
Nations'
sustainable
development
goals
(SDGs),
circular
economy
(CE)
bio-economy
(BE)
principles.
This
approach
offers
excellent
opportunities
to
enhance
productivity
address
global
climate
change
challenges.
revelation
adverse
effects
(NMs)
on
various
organisms
ecosystems,
however,
has
fueled
debate
'Nano-paradox'
leading
emergence
a
new
research
domain
'Nanotoxicology'.
shown
different
interactions
biological
environmental
as
compared
their
bulk
counterparts.
They
bioaccumulate
organisms,
soils,
other
matrices,
move
through
food
chains
reach
higher
trophic
levels
including
humans
ultimately
resulting
oxidative
stress
cellular
damage.
Understanding
nano-bio
interactions,
mechanism
gene-
cytotoxicity,
associated
potential
hazards,
is
therefore,
essential
mitigate
toxicological
outputs.
review
comprehensively
examines
cyto-
genotoxicity
mechanisms
systems,
covering
aspects
such
entry,
uptake,
responses,
dynamic
environments
long-term
risk
assessment
(ERA).
It
also
discusses
methods,
regulatory
policies,
strategies
for
toxicity
management/mitigation
future
directions
nanotechnology,
all
within
context
SDGs,
CE,
promoting
resource
efficiency
sustainability.
Navigating
nano-paradox
involves
balancing
benefits
concerns
about
nanotoxicity.
Prioritizing
thorough
above
facets
can
ensure
sustainability
safety,
enabling
responsible
harnessing
nanotechnology's
transformative
applications
mitigating
enhancing
productivity.
Experimental Biology and Medicine,
Journal Year:
2025,
Volume and Issue:
250
Published: May 2, 2025
Adverse
drug
events
are
harms
associated
with
use,
whether
the
is
used
correctly
or
incorrectly.
Identifying
adverse
vital
in
pharmacovigilance
to
safeguard
public
health.
Drug
safety
surveillance
can
be
performed
using
unstructured
data.
A
comprehensive
and
accurate
list
of
names
essential
for
effective
identification
events.
While
there
numerous
sources
names,
RxNorm
widely
recognized
as
a
leading
resource.
However,
its
effectiveness
data
analysis
has
not
been
thoroughly
assessed.
To
address
this,
we
evaluated
their
suitability
developed
refined
set
names.
Initially,
removed
duplicates,
exceeding
199
characters,
those
that
only
describe
administrative
details.
four
fewer
characters
were
analyzed
18,000
drug-related
PubMed
abstracts
remove
which
rarely
appear
The
remaining
ranged
from
five
further
exclude
could
lead
inaccurate
counts
analysis.
We
compared
efficiency
accuracy
original
by
testing
both
on
abstracts.
results
showed
decrease
computational
cost
number
false
identified.
Further
revealed
most
originated
one
14
sources.
Our
findings
suggest
enhance
analysis,
thereby
improving
pharmacovigilance.
Frontiers in Bioengineering and Biotechnology,
Journal Year:
2025,
Volume and Issue:
13
Published: March 21, 2025
The
early
diagnosis
rate
of
gastric
cancer
is
low,
and
most
patients
are
already
at
an
advanced
stage
by
the
time
they
diagnosed,
posing
significant
challenges
for
treatment
exhibiting
high
recurrence
rates,
which
notably
diminish
patients’
survival
quality
life.
Therefore,
there
urgent
need
to
identify
methods
that
can
enhance
efficacy.
Nanomedicine,
distinguished
its
small
size,
targeting
specificity,
strong
biological
compatibility,
particularly
well-suited
address
toxic
side
effects
associated
with
current
diagnostic
therapeutic
approaches
cancer.
Consequently,
application
nanomedicine
delivery
systems
in
has
garnered
increasing
interest
from
researchers.
This
review
provides
overview
recent
advancements
use
nanomaterials
as
drugs
or
drug
research,
encompassing
their
applications
diagnosis,
chemotherapy,
radiotherapy,
surgery,
phototherapy,
explores
promising
prospects
Advances in medical diagnosis, treatment, and care (AMDTC) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 259 - 277
Published: May 30, 2024
Artificial
intelligence
(AI)
has
revolutionized
the
discovery
and
development
of
new
drugs
in
biomedicine.
By
using
advanced
algorithms
computational
methods,
AI
optimizes
treatment
plans,
accelerates
drug
process,
improves
patient
outcomes.
integrate
multi-omics
data
sets,
decipher
molecular
connections,
identify
therapeutic
targets
biomarkers.
High-throughput
screening,
predictive
modeling,
AI-powered
virtual
screening
platforms
are
revolutionizing
pipeline.
Machine
learning
deep
models
enable
drug-target
interactions
prediction,
pharmacological
evaluation,
experimental
validation.
Structure-based
design
methodologies
accelerate
therapies.
AI-driven
technologies
personalized
plans
for
patients,
taking
into
account
their
unique
traits
disease
profiles.
Pharmacogenomics,
when
combined
with
analytics,
selection,
dosage
adjustment,
response
enhancing
efficacy
reducing
side
effects.
ACS Applied Nano Materials,
Journal Year:
2024,
Volume and Issue:
7(17), P. 19991 - 20002
Published: Aug. 19, 2024
Cytotoxicity
evaluation
of
nanoparticles
(NPs)
is
regarded
as
a
crucial
step
for
their
successful
application
in
the
biomedical
industry.
However,
conventional
experimental
methodologies
cytotoxicity
measurements
are
often
expensive,
time-consuming,
and
demand
intense
training
cell
culture.
In
this
study,
we
developed
generalized
machine
learning
(ML)
models
both
qualitative
quantitative
prediction
across
wide
variety
NPs.
particular,
meta-analysis
data
was
conducted
from
published
literature
on
metallic,
metal
oxide,
polymer,
carbon-based
NPs,
leading
to
development
random
forest-based
regression
classification
predicting
viability
physicochemical
properties
cellular
attributes,
testing
conditions.
Our
feature
importance
analysis
showed
that
accurately
NPs
using
model
requires
knowledge
composition,
concentration,
zeta
potential,
size,
well
exposure
time,
toxicity
assay,
tissue
type.
Interestingly,
among
these
information
about
composition
or
type
not
needed
achieving
high
accuracy
model,
indicating
its
superior
robustness
compared
model.
These
findings
may
encourage
future
researchers
employ
ML
more
effectively
frequently
reliably
assess
safety
