ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
16(30), С. 38832 - 38851
Опубликована: Июль 17, 2024
Phenotypic
drug
discovery
(PDD),
which
involves
harnessing
biological
systems
directly
to
uncover
effective
drugs,
has
undergone
a
resurgence
in
recent
years.
The
rapid
advancement
of
artificial
intelligence
(AI)
over
the
past
few
years
presents
numerous
opportunities
for
augmenting
phenotypic
screening
on
microfluidic
platforms,
leveraging
its
predictive
capabilities,
data
analysis,
efficient
processing,
etc.
Microfluidics
coupled
with
AI
is
poised
revolutionize
landscape
discovery.
By
integrating
advanced
platforms
algorithms,
researchers
can
rapidly
screen
large
libraries
compounds,
identify
novel
candidates,
and
elucidate
complex
pathways
unprecedented
speed
efficiency.
This
review
provides
an
overview
advances
challenges
AI-based
microfluidics
their
applications
We
discuss
synergistic
combination
high-throughput
AI-driven
analysis
phenotype
characterization,
drug-target
interactions,
modeling.
In
addition,
we
highlight
potential
AI-powered
achieve
automated
system.
Overall,
represents
promising
approach
shaping
future
by
enabling
rapid,
cost-effective,
accurate
identification
therapeutically
relevant
compounds.
International Journal of Molecular Sciences,
Год журнала:
2021,
Номер
22(4), С. 2011 - 2011
Опубликована: Фев. 18, 2021
Microfluidics
is
a
relatively
newly
emerged
field
based
on
the
combined
principles
of
physics,
chemistry,
biology,
fluid
dynamics,
microelectronics,
and
material
science.
Various
materials
can
be
processed
into
miniaturized
chips
containing
channels
chambers
in
microscale
range.
A
diverse
repertoire
methods
chosen
to
manufacture
such
platforms
desired
size,
shape,
geometry.
Whether
they
are
used
alone
or
combination
with
other
devices,
microfluidic
employed
nanoparticle
preparation,
drug
encapsulation,
delivery,
targeting,
cell
analysis,
diagnosis,
culture.
This
paper
presents
technology
terms
available
platform
fabrication
techniques,
also
focusing
biomedical
applications
these
remarkable
devices.
Advanced Healthcare Materials,
Год журнала:
2021,
Номер
10(17)
Опубликована: Июнь 24, 2021
The
emergence
and
development
of
noninvasive
biosensors
largely
facilitate
the
collection
physiological
signals
processing
health-related
data.
utilization
appropriate
machine
learning
algorithms
improves
accuracy
efficiency
biosensors.
Machine
learning-reinforced
are
started
to
use
in
clinical
practice,
health
monitoring,
food
safety,
bringing
a
digital
revolution
healthcare.
Herein,
recent
advances
applied
healthcare
summarized.
First,
different
types
collected
categorized
Then
adopted
subsequent
data
introduced
their
practical
applications
reviewed.
Finally,
challenges
faced
by
raised,
including
privacy
adaptive
capability,
prospects
real-time
out-of-clinic
diagnosis,
onsite
safety
detection
proposed.
Biosensors and Bioelectronics X,
Год журнала:
2022,
Номер
10, С. 100106 - 100106
Опубликована: Янв. 8, 2022
The
attention
in
lab-on-a-chip
devices
with
their
potent
application
medical
engineering
has
prolonged
swiftly
over
the
last
ten
years.
Travelling
through
technology
development,
innovative
microfluidics
shown
enormous
potential
to
lift
biomedical
research
traditions
that
are
not
imaginable
using
conventional
techniques.
advances
arena
of
have
prompted
high-tech
uprisings
numerous
disciplines,
including
diagnostics,
single-cell
analysis,
micro-
and
nano
device
fabrication,
organ-in-chip
platforms,
med-tech
applications.
speedy
development
is
motivated
by
cumulative
cooperation
among
central
nanomaterials
microfluidic
aptitudes
range
Microfluidic
gadgets
presently
undertake
a
significant
part
organic,
synthetic,
designing
applications,
multiple
approaches
create
vital
channel
highlight
measurements.
In
this
review,
critical
assessments
on
frontiers
platforms
carried
out
towards
advancements
capabilities
for
new-edge
It
been
exhibited
offers
scope
benefits
contrasted
customary
strategies,
further
developed
controllability
consistency
specified
nanomaterial
attributes.
Herein,
authors
discussed
how
innumerable
empower
manufacture
systems
advanced
optical,
mechanical,
electrical
chemical,
bio-interfacial
properties
ranging
from
basics
microfluidics,
various
factors,
types,
fabrication
procedure
A
comprehensive
investigation
state-of-the-art
usage
field
steered
exemplarily
understand
advantages.
Moreover,
our
assessment
provides
an
interdisciplinary
overview
modern
microfabrication
strategies
can
be
adopted
academic
industrial
interests.
Lab on a Chip,
Год журнала:
2022,
Номер
22(16), С. 2925 - 2937
Опубликована: Янв. 1, 2022
Microfluidics
has
developed
into
a
mature
field
with
applications
across
science
and
engineering,
having
particular
commercial
success
in
molecular
diagnostics,
next-generation
sequencing,
bench-top
analysis.
Despite
its
ubiquity,
the
complexity
of
designing
controlling
custom
microfluidic
devices
present
major
barriers
to
adoption,
requiring
intuitive
knowledge
gained
from
years
experience.
If
these
were
overcome,
microfluidics
could
miniaturize
biological
chemical
research
for
non-experts
through
fully-automated
platform
development
operation.
The
intuition
experts
can
be
captured
machine
learning,
where
complex
statistical
models
are
trained
pattern
recognition
subsequently
used
event
prediction.
Integration
learning
significantly
expand
adoption
impact.
Here,
we
current
state
design
control
devices,
possible
applications,
limitations.
Theranostics,
Год журнала:
2023,
Номер
13(13), С. 4526 - 4558
Опубликована: Янв. 1, 2023
Drug
evaluation
has
always
been
an
important
area
of
research
in
the
pharmaceutical
industry.
However,
animal
welfare
protection
and
other
shortcomings
traditional
drug
development
models
pose
obstacles
challenges
to
evaluation.
Organ-on-a-chip
(OoC)
technology,
which
simulates
human
organs
on
a
chip
physiological
environment
functionality,
with
high
fidelity
reproduction
organ-level
physiology
or
pathophysiology,
exhibits
great
promise
for
innovating
pipeline.
Meanwhile,
advancement
artificial
intelligence
(AI)
provides
more
improvements
design
data
processing
OoCs.
Here,
we
review
current
progress
that
made
generate
OoC
platforms,
how
single
multi-OoCs
have
used
applications,
including
testing,
disease
modeling,
personalized
medicine.
Moreover,
discuss
issues
facing
field,
such
as
large
reproducibility,
point
integration
OoCs
AI
analysis
automation,
is
benefit
future
Finally,
look
forward
opportunities
faced
by
coupling
AI.
In
summary,
advancements
development,
combinations
AI,
will
eventually
break
state
Lab on a Chip,
Год журнала:
2024,
Номер
24(7), С. 1833 - 1866
Опубликована: Янв. 1, 2024
Wearable
devices
are
increasingly
popular
in
health
monitoring,
diagnosis,
and
drug
delivery.
Advances
allow
real-time
analysis
of
biofluids
like
sweat,
tears,
saliva,
wound
fluid,
urine.
Lab on a Chip,
Год журнала:
2024,
Номер
24(5), С. 1307 - 1326
Опубликована: Янв. 1, 2024
This
review
outlines
the
current
advances
of
high-throughput
microfluidic
systems
accelerated
by
AI.
Furthermore,
challenges
and
opportunities
in
this
field
are
critically
discussed
as
well.
