Advanced Healthcare Materials,
Год журнала:
2021,
Номер
10(18)
Опубликована: Июль 22, 2021
Abstract
Respiratory
toxicology
remains
a
major
research
area
in
the
21st
century
since
current
scenario
of
airborne
viral
infection
transmission
and
pollutant
inhalation
is
expected
to
raise
annual
morbidity
beyond
2
million.
Clinical
epidemiological
connecting
human
exposure
air
contaminants
understand
adverse
pulmonary
health
outcomes
is,
therefore,
an
immediate
subject
assessment.
Important
observations
defining
systemic
effects
environmental
on
metabolic
dysfunction,
liver
health,
gastrointestinal
tract
have
been
well
explored
with
vivo
models.
In
this
review,
framework
provided,
paradigm
established
about
toxicity
testing
vitro,
brief
overview
breathing
Lungs‐on‐Chip
(LoC)
as
design
concepts
given.
The
optimized
bioengineering
approaches
microfluidics
their
fundamental
pros,
cons
are
presented.
There
different
strategies
that
researchers
apply
studies
assess
variety
inhalable
substances
relevant
LoC
approaches.
A
case
study
from
published
literature
frame
arguments
reproducibility
vitro/in
correlations
discussed.
Finally,
opportunities
challenges
soft
robotics,
systems
approach
integrating
bioengineering,
machine
learning,
artificial
intelligence
address
multitude
model
for
future
Journal of Hematology & Oncology,
Год журнала:
2023,
Номер
16(1)
Опубликована: Июль 14, 2023
Early
detection
and
diagnosis
of
many
cancers
is
very
challenging.
Late
stage
a
cancer
always
leads
to
high
mortality
rates.
It
imperative
develop
novel
more
sensitive
effective
therapeutic
methods
for
treatments.
The
development
new
treatments
has
become
crucial
aspect
medical
advancements.
Nanobots,
as
one
the
most
promising
applications
nanomedicines,
are
at
forefront
multidisciplinary
research.
With
progress
nanotechnology,
nanobots
enable
assembly
deployment
functional
molecular/nanosized
machines
increasingly
being
utilized
in
treatment.
In
recent
years,
various
practical
have
transitioned
from
theory
practice,
vitro
experiments
vivo
applications.
this
paper,
we
review
analyze
advancements
treatments,
with
particular
emphasis
on
their
key
fundamental
features
drug
delivery,
tumor
sensing
diagnosis,
targeted
therapy,
minimally
invasive
surgery,
other
comprehensive
At
same
time,
discuss
challenges
potential
research
opportunities
revolutionizing
future,
expected
sophisticated
capable
performing
multiple
functions
tasks,
ultimately
becoming
true
nanosubmarines
bloodstream.
Archives of Toxicology,
Год журнала:
2023,
Номер
97(4), С. 963 - 979
Опубликована: Март 7, 2023
The
use
of
nanomaterials
in
medicine
depends
largely
on
nanotoxicological
evaluation
order
to
ensure
safe
application
living
organisms.
Artificial
intelligence
(AI)
and
machine
learning
(MI)
can
be
used
analyze
interpret
large
amounts
data
the
field
toxicology,
such
as
from
toxicological
databases
high-content
image-based
screening
data.
Physiologically
based
pharmacokinetic
(PBPK)
models
nano-quantitative
structure-activity
relationship
(QSAR)
predict
behavior
toxic
effects
nanomaterials,
respectively.
PBPK
Nano-QSAR
are
prominent
ML
tool
for
harmful
event
analysis
that
is
understand
mechanisms
by
which
chemical
compounds
cause
effects,
while
toxicogenomics
study
genetic
basis
responses
Despite
potential
these
methods,
there
still
many
challenges
uncertainties
need
addressed
field.
In
this
review,
we
provide
an
overview
artificial
(ML)
techniques
nanomedicine
nanotoxicology
better
materials
at
nanoscale.
Biomedicine & Pharmacotherapy,
Год журнала:
2023,
Номер
163, С. 114784 - 114784
Опубликована: Апрель 28, 2023
More
information
about
a
person's
genetic
makeup,
drug
response,
multi-omics
and
genomic
response
is
now
available
leading
to
gradual
shift
towards
personalized
treatment.
Additionally,
the
promotion
of
non-animal
testing
has
fueled
computational
toxicogenomics
as
pivotal
part
next-gen
risk
assessment
paradigm.
Artificial
Intelligence
(AI)
potential
provid
new
ways
analyzing
patient
data
making
predictions
treatment
outcomes
or
toxicity.
As
medicine
involve
huge
processing,
AI
can
expedite
this
process
by
providing
powerful
analysis,
interpretation
algorithms.
integrate
multitude
including
genome
data,
records,
clinical
identify
patterns
derive
predictive
models
anticipating
assessing
any
approaches.
In
article,
we
have
studied
current
trends
future
perspectives
in
&
toxicology,
role
connecting
two
fields,
impact
on
toxicology.
work,
also
study
key
challenges
limitations
medicine,
toxicogenomics,
order
fully
realize
their
potential.
IEEE Access,
Год журнала:
2023,
Номер
11, С. 52726 - 52739
Опубликована: Янв. 1, 2023
Owing
to
limited
drug
testing
possibilities
in
pregnant
population,
the
development
of
computational
algorithms
is
crucial
predict
fate
drugs
placental
barrier;
it
could
serve
as
an
alternative
animal
testing.
The
ability
a
molecule
effectively
cross
barrier
and
reach
fetus
determines
drug's
toxicological
effects
on
fetus.
In
this
regard,
our
study
aims
permeability
molecules
across
barrier.
Based
publicly
available
datasets,
several
machine
learning
models
are
comprehensively
analysed
different
fingerprints
toolkits
find
best
suitable
models.
Several
dataset
analysis
utilised
data
diversity.
Further,
demonstrates
application
neural
network-based
permeability.
K-nearest
neighbour
(KNN),
standard
vector
classifier
(SVC)
Multi-layer
perceptron
(MLP)
found
be
best-performing
with
prediction
percentage
82%,
86.4%
90.8%,
respectively.
Different
compared
chosen
set
drugs,
like
Aliskiren,
some
insulin
secretagogues
glucocorticoids
negative
while
predicting
Current Research in Toxicology,
Год журнала:
2023,
Номер
5, С. 100118 - 100118
Опубликована: Янв. 1, 2023
Herbal
medications
have
an
extensive
history
of
use
in
treating
various
diseases,
attributed
to
their
perceived
efficacy
and
safety.
Traditional
medicine
practitioners
contemporary
healthcare
providers
shown
particular
interest
herbal
syrups,
especially
for
respiratory
illnesses
associated
with
the
SARS-CoV-2
virus.
However,
current
understanding
pharmacokinetic
toxicological
properties
phytochemicals
these
mixtures
is
limited.
This
study
presents
a
comprehensive
computational
analysis
utilizing
novel
approach
methodologies
(NAMs)
investigate
profiles
syrup,
leveraging
in-silico
techniques
prediction
tools
such
as
PubChem,
SwissADME,
Molsoft's
database.
Although
molecular
dynamics,
docking,
broader
system-wide
analyses
were
not
considered,
future
studies
hold
potential
further
investigation
areas.
By
combining
drug-likeness
simulation,
researchers
identify
diverse
suitable
complex
medication
development
examining
pharmacokinetic-toxicological
phytopharmaceutical
syrup.
The
focuses
on
solutions
infections,
goal
adding
pool
all-natural
treatments
ailments.
research
has
revolutionize
environmental
alternative
by
models
innovative
analytical
enhanced
therapeutic
benefits
explore
network-based
systems
biology
approaches
deeper
interactions
biological
systems.
Overall,
our
offers
valuable
insights
into
concoction.
paves
way
advancements
medicine.
we
acknowledge
need
address
aforementioned
topics
that
adequately
covered
this
research.
Nanomedicine,
a
convergence
of
nanotechnology
and
medical
sciences,
has
unleashed
transformative
potential
in
healthcare.
However,
harnessing
the
benefits
nanomedicine
requires
thorough
understanding
its
regulatory
landscape.
An
in-depth
discussion
considerations,
including
molecular
safety
assessment,
harmonization
landscape,
shaping
future
innovation,
is
presented
this
discourse.
The
assessment
entails
evaluating
interactions
between
nanoparticles
biomolecules,
ensuring
compatibility
at
level.
Harmonization
involves
developing
international
standards
guidelines
for
consistent
approach,
while
innovations
emphasizes
integrating
assessments
into
early
stages
development.
Challenges
encompass
need
standardized
methods,
balancing
innovation
with
safety,
addressing
unique
features
novel
designs.
As
landscape
evolves,
effective
strategies
must
navigate
intricate
interplay
molecules
technologies,
both
patient
access
product
safety.
Lab on a Chip,
Год журнала:
2024,
Номер
24(5), С. 1419 - 1440
Опубликована: Янв. 1, 2024
Although
developed
independently
at
the
beginning,
AI,
micro/nanorobots
and
microfluidics
have
become
more
intertwined
in
past
few
years
which
has
greatly
propelled
cutting-edge
development
fields
of
biomedical
sciences.
ABSTRACT
The
applications
of
nanoparticles
(NPs)
have
shown
tremendous
growth
during
the
last
decade
in
field
biomedicine.
Although
chemical
and
physical
methods
dominate
large‐scale
NP
synthesis,
such
are
also
known
for
their
adverse
impact
on
environment
health.
In
contrast,
use
biological
systems
provides
a
sustainable
alternative
producing
functional
NPs
by
biomineralization
process.
transformative
power
artificial
intelligence
(AI)
has
been
proven
prudent
diagnosis,
drug
development,
therapy,
clinical
decision‐making.
AI
can
be
utilized
tailored
design,
scale‐up
biomedical
applications.
present
review
an
overview
process
its
advantages
over
other
eco‐friendly
synthesis
opportunities.
Specific
emphasis
is
provided
application
cancer
therapy
how
biologically
compatible
improve
management.
Finally,
to
best
our
knowledge,
potential
integrating
comprehensively
analyzed
first
time.
Additionally,
help
surpass
conventionally
synthesized
toxicity
toxicology
material
science
provided.
