bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 4, 2024
Abstract
Drug
delivery
systems
efficiently
and
safely
administer
therapeutic
agents
to
specific
body
sites.
Liposomes,
spherical
vesicles
made
of
phospholipid
bilayers,
have
become
a
powerful
tool
in
this
field,
especially
with
the
rise
microfluidic
manufacturing
during
COVID-19
pandemic.
Despite
its
efficiency,
liposomal
production
poses
challenges,
often
requiring
laborious,
optimization
on
case-by-case
basis.
This
is
due
lack
comprehensive
understanding
robust
methodologies,
compounded
by
limited
data
varying
lipids.
Artificial
intelligence
offers
promise
predicting
lipid
behaviour
production,
still
unexploited
potential
streamlining
development.
Herein
we
employ
machine
learning
predict
critical
quality
attributes
process
parameters
for
microfluidic-based
liposome
production.
Validated
models
formation,
size,
parameters,
significantly
advancing
our
behaviour.
Extensive
model
analysis
enhanced
interpretability
investigated
underlying
mechanisms,
supporting
transition
Unlocking
drug
development
can
accelerate
pharmaceutical
innovation,
making
more
adaptable
accessible.
Chemical Reviews,
Год журнала:
2024,
Номер
124(16), С. 9633 - 9732
Опубликована: Авг. 13, 2024
Self-driving
laboratories
(SDLs)
promise
an
accelerated
application
of
the
scientific
method.
Through
automation
experimental
workflows,
along
with
autonomous
planning,
SDLs
hold
potential
to
greatly
accelerate
research
in
chemistry
and
materials
discovery.
This
review
provides
in-depth
analysis
state-of-the-art
SDL
technology,
its
applications
across
various
disciplines,
implications
for
industry.
additionally
overview
enabling
technologies
SDLs,
including
their
hardware,
software,
integration
laboratory
infrastructure.
Most
importantly,
this
explores
diverse
range
domains
where
have
made
significant
contributions,
from
drug
discovery
science
genomics
chemistry.
We
provide
a
comprehensive
existing
real-world
examples
different
levels
automation,
challenges
limitations
associated
each
domain.
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 9, 2025
Abstract
Anti‐tumor
theranostic
radionuclide
nanosystems
have
gained
significant
attention
as
an
emerging
therapeutic
strategy.
This
review
systematically
elucidates
the
concept
and
recent
advances
of
anti‐tumor
nanotheranostic
systems
with
radionuclides,
a
focus
on
design
nanocarriers,
precise
selection
their
advantages
limitations
in
clinical
translation.
also
explores
integration
imaging
various
treatment
modalities,
including
photodynamic
therapy,
photothermal
sonodynamic
immunotherapy.
Furthermore,
combination
therapy
fluorescence
magnetic
resonance
technologies,
which
broadens
application
nanotheranostics,
is
discussed.
Finally,
outlooks
future
development
nanotheranostics
radionuclides
proposes
key
research
focus.
Journal of Pharmaceutical Analysis,
Год журнала:
2024,
Номер
14(11), С. 100996 - 100996
Опубликована: Май 8, 2024
To
enhance
the
efficiency
of
vaccine
manufacturing,
this
study
focuses
on
optimizing
microfluidic
conditions
and
lipid
mix
ratios
messenger
RNA-lipid
nanoparticles
(mRNA-LNP).
Different
mRNA-LNP
formulations
(
Regulating
inflammatory
microglia
presents
a
promising
strategy
for
treating
neurodegenerative
and
autoimmune
disorders,
yet
effective
therapeutic
agents
delivery
to
these
cells
remains
challenge.
This
study
investigates
modified
lipid
nanoparticles
(LNP)
mRNA
hyperactivated
microglia,
particularly
those
with
pro-inflammatory
characteristics,
utilizing
supervised
machine
learning
(ML)
classifiers.
We
developed
screened
library
of
216
LNP
formulations
varying
compositions,
N/P
ratios,
hyaluronic
acid
(HA)
modifications.
The
transfection
efficiency
eGFP
was
assessed
in
the
BV-2
murine
cell
line
under
different
immunological
states,
including
resting
activated
conditions
(LPS-activated
IL4/IL13-activated).
ML-guided
morphometric
analysis
tracked
phenotypes
various
subtypes
before
after
transfection.
Four
ML
classifiers
were
investigated
predict
phenotypic
changes
based
on
design
parameters.
Multi-Layer
Perceptron
(MLP)
neural
network
emerged
as
best-performing
model,
achieving
weighted
F1-scores
≥0.8.
While
it
accurately
predicted
responses
from
LPS-activated
cells,
struggled
IL4/IL13-activated
cells.
MLP
model
validated
by
predicting
performance
four
unseen
delivering
BV2
HA-LNP2
optimal
formulation
target
IL10
mRNA,
effectively
suppressing
phenotypes,
evidenced
shifts
morphology,
increased
expression,
reduced
TNF-α
levels.
also
evaluated
human
iPSC-derived
confirming
its
efficacy
modulating
responses.
highlights
potential
tailored
techniques
enhance
therapy
neuroinflammatory
disorders
leveraging
carrier's
immunogenic
properties
modulate
microglial
Photonics,
Год журнала:
2025,
Номер
12(6), С. 555 - 555
Опубликована: Май 31, 2025
The
field
of
photovoltaics
(PV)
continually
seeks
innovative
materials
solutions
to
enhance
the
efficiency
and
stability
their
standard
devices.
Core-shell
nanoparticles
have
emerged
as
a
promising
new
technology
with
unique
structural
attributes
widely
tunable
properties.
This
paper
reviews
use
plasmonic
core-shell
in
PV
applications
through
various
experimental
validations.
We
describe
advancements
design
control
over
properties
highlight
integration
into
solar
cells,
based
on
ability
finely
tune
optical,
electronic,
chemical
also
discuss
results
for
organic,
perovskite,
dye-sensitized
where
been
successfully
deployed.
Additionally,
we
identify
gaps
current
research,
such
need
scalable
synthesis
methods
long-term
assessments,
will
point
out
developments
at
frontier
that
field.
Preclinical
and
clinical
diagnostics
depend
greatly
on
medical
imaging,
which
enables
the
identification
of
physiological
pathological
processes
in
living
subjects.
It
is
often
necessary
to
use
contrast
agents
complement
anatomical
data
with
functional
information
or
describe
disease
phenotypically.
Nanomaterials
are
used
as
many
advanced
bioimaging
techniques
applications
because
their
high
payload,
physicochemical
properties,
improved
sensitivity,
multimodality.
Metals
k-edge
energy
within
X-ray
bandwidth
respond
photon
counting
spectral
imaging.
This
Perspective
examines
progress
made
emerging
area
nanoparticle-based
agents.
These
nano
