International Journal of Nanomedicine,
Journal Year:
2022,
Volume and Issue:
Volume 17, P. 1365 - 1379
Published: March 1, 2022
Background:
Low
delivery
efficiency
of
nanoparticles
(NPs)
to
the
tumor
is
a
critical
barrier
in
field
cancer
nanomedicine.
Strategies
on
how
improve
NP
remain
be
determined.
Methods:
This
study
analyzed
roles
physicochemical
properties,
models,
and
types
using
multiple
machine
learning
artificial
intelligence
methods,
data
from
recently
published
Nano-Tumor
Database
that
contains
376
datasets
generated
physiologically
based
pharmacokinetic
(PBPK)
model.
Results:
The
deep
neural
network
model
adequately
predicted
different
NPs
tumors
it
outperformed
all
other
methods;
including
random
forest,
support
vector
machine,
linear
regression,
bagged
methods.
adjusted
determination
coefficients
(R
2
)
full
training
dataset
were
0.92,
0.77,
0.77
0.76
for
maximum
(DE
max
),
at
24
h
168
last
sampling
time
Tlast
).
corresponding
R
values
test
0.70,
0.46,
0.33
0.63,
respectively.
Also,
this
showed
type
was
an
important
determinant
predicting
across
endpoints
(19–
29%).
Among
Zeta
potential
core
material
played
greater
role
than
such
as
type,
shape,
targeting
strategy.
Conclusion:
provides
quantitative
design
nanomedicine
with
efficiency.
These
results
help
our
understanding
causes
low
demonstrates
feasibility
integrating
PBPK
modeling
approaches
Graphical
Abstract:
Keywords:
intelligence,
learning,
modeling,
nanomedicine,
drug
delivery,
nanotechnology
Chemical Reviews,
Journal Year:
2021,
Volume and Issue:
121(3), P. 1746 - 1803
Published: Jan. 14, 2021
Nanomaterial
(NM)
delivery
to
solid
tumors
has
been
the
focus
of
intense
research
for
over
a
decade.
Classically,
scientists
have
tried
improve
NM
by
employing
passive
or
active
targeting
strategies,
making
use
so-called
enhanced
permeability
and
retention
(EPR)
effect.
This
phenomenon
is
made
possible
due
leaky
tumor
vasculature
through
which
NMs
can
leave
bloodstream,
traverse
gaps
in
endothelial
lining
vessels,
enter
tumor.
Recent
studies
shown
that
despite
many
efforts
employ
EPR
effect,
this
process
remains
very
poor.
Furthermore,
role
effect
called
into
question,
where
it
suggested
Journal of Nanobiotechnology,
Journal Year:
2021,
Volume and Issue:
19(1)
Published: Aug. 12, 2021
Abstract
Exosomes
are
lipid
bilayer
membrane
vesicles
and
emerging
as
competent
nanocarriers
for
drug
delivery.
The
clinical
translation
of
exosomes
faces
many
challenges
such
massive
production,
standard
isolation,
loading,
stability
quality
control.
In
recent
years,
artificial
based
on
nanobiotechnology
to
overcome
the
limitations
natural
exosomes.
Major
types
include
‘nanovesicles
(NVs)’,
‘exosome-mimetic
(EM)’
‘hybrid
(HEs)’,
which
obtained
by
top-down,
bottom-up
biohybrid
strategies,
respectively.
Artificial
powerful
alternatives
Here,
we
outline
advances
in
through
discuss
their
strengths,
future
perspectives.
development
holds
great
values
translational
nanomedicine.
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(9), P. 5505 - 5616
Published: April 16, 2024
The
recent
emergence
of
nanomedicine
has
revolutionized
the
therapeutic
landscape
and
necessitated
creation
more
sophisticated
drug
delivery
systems.
Polymeric
nanoparticles
sit
at
forefront
numerous
promising
designs,
due
to
their
unmatched
control
over
physiochemical
properties
such
as
size,
shape,
architecture,
charge,
surface
functionality.
Furthermore,
polymeric
have
ability
navigate
various
biological
barriers
precisely
target
specific
sites
within
body,
encapsulate
a
diverse
range
cargo
efficiently
release
this
in
response
internal
external
stimuli.
However,
despite
these
remarkable
advantages,
presence
wider
clinical
application
is
minimal.
This
review
will
provide
comprehensive
understanding
vehicles.
affecting
be
outlined
first,
followed
by
description
nanoparticle
designs
preparation
methods,
beginning
with
polymers
on
which
they
are
based.
meticulously
explore
current
performance
against
myriad
diseases
including
cancer,
viral
bacterial
infections,
before
finally
evaluating
advantages
crucial
challenges
that
determine
potential
decades
come.
Chemical Society Reviews,
Journal Year:
2021,
Volume and Issue:
50(23), P. 12883 - 12896
Published: Jan. 1, 2021
Finding
a
personalized
nano
theranostics
solution,
nanomedicine
for
cancer
diagnosis
and
therapy,
is
among
the
top
challenges
of
current
medicinal
science.
Porous
organic
polymers
(POPs)
are
permanent
porous
materials
prepared
by
linking
relatively
rigid
multidimensional
building
blocks.
POP
nanoparticles
have
remarkable
advantage
owing
to
their
specific
physicochemical
characteristics
such
as
high
surface
area,
convincing
pore
size
engineering,
stimuli-responsive
degradability,
negligible
toxicity,
open
covalent
post-synthesis
modification
possibilities
etc.
POPs
crystalline
non-crystalline
characteristics;
popularly
known
frameworks
(COFs),
shown
potential
application
across
research
areas
in
The
early
development
on
applications
nanoscale
has
tremendous
future
clinical
translation.
This
tutorial
review
highlights
recently
developed
promising
nPOPs
drug
loading,
targeted
delivery,
endogenous
exogenous
release,
imaging
combination
regardless
poorly
properties.
will
provide
platform
translation
solving
fundamental
nanomedicines
loading
efficiency,
size-optimization,
biocompatibility,
dispersibility
cell
uptake
ability.
Acta Pharmaceutica Sinica B,
Journal Year:
2021,
Volume and Issue:
12(1), P. 107 - 134
Published: June 2, 2021
The
immune
system
is
involved
in
the
initiation
and
progression
of
cancer.
Research
on
cancer
immunity
has
contributed
to
development
several
clinically
successful
immunotherapies.
These
immunotherapies
often
act
a
single
step
cancer-immunity
cycle.
In
recent
years,
discovery
new
nanomaterials
dramatically
expanded
functions
potential
applications
nanomaterials.
addition
acting
as
drug-delivery
platforms,
some
can
induce
immunogenic
cell
death
(ICD)
cells
or
regulate
profile
strength
response
immunomodulators.
Based
their
versatility,
may
serve
an
integrated
platform
for
multiple
drugs
therapeutic
strategies,
simultaneously
targeting
steps
cycle
enhance
outcome
anticancer
response.
To
illustrate
critical
roles
based
cycle,
this
review
will
comprehensively
describe
crosstalk
between
cancer,
current
nanomaterials,
including
drug
carriers,
ICD
inducers,
Moreover,
provide
detailed
discussion
knowledge
regarding
developing
combinational
hoping
maximize
efficacy
these
treatments
assisted
by
