Journal of Biomedical Research & Environmental Sciences,
Journal Year:
2024,
Volume and Issue:
5(3), P. 233 - 236
Published: March 1, 2024
The
advent
of
droplet
microfluidics
has
revolutionized
the
landscape
biomedical
research,
offering
a
platform
for
precise
control
and
manipulation
fluids
at
microscale
[1,2].
Lab on a Chip,
Journal Year:
2024,
Volume and Issue:
24(5), P. 1135 - 1153
Published: Jan. 1, 2024
This
review
introduces
the
development
of
droplet
microfluidics
by
explaining
physical
mechanisms
generation,
discussing
various
approaches
in
manipulating
droplets,
and
summarizing
key
applications
material
science
biological
analyses.
Theranostics,
Journal Year:
2023,
Volume and Issue:
13(13), P. 4526 - 4558
Published: Jan. 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,
Journal Year:
2024,
Volume and Issue:
24(7), P. 1833 - 1866
Published: Jan. 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.
Applied Physics Reviews,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: Jan. 21, 2025
Droplet
microfluidics
has
emerged
as
highly
relevant
technology
in
diverse
fields
such
nanomaterials
synthesis,
photonics,
drug
delivery,
regenerative
medicine,
food
science,
cosmetics,
and
agriculture.
While
significant
progress
been
made
understanding
the
fundamental
mechanisms
underlying
droplet
generation
microchannels
fabricating
devices
to
produce
droplets
with
varied
functionality
high
throughput,
challenges
persist
along
two
important
directions.
On
one
side,
generalization
of
numerical
results
obtained
by
computational
fluid
dynamics
would
be
deepen
comprehension
complex
physical
phenomena
microfluidics,
well
capability
predicting
device
behavior.
Conversely,
truly
three-dimensional
architectures
enhance
microfluidic
platforms
terms
tailoring
enhancing
flow
properties.
Recent
advancements
artificial
intelligence
(AI)
additive
manufacturing
(AM)
promise
unequaled
opportunities
for
simulating
behavior,
precisely
tracking
individual
droplets,
exploring
innovative
designs.
This
review
provides
a
comprehensive
overview
recent
applying
AI
AM
microfluidics.
The
basic
properties
multiphase
flows
production
are
discussed,
current
fabrication
methods
related
introduced,
together
their
applications.
Delving
into
use
technologies
topics
covered
include
AI-assisted
simulations
real-time
within
systems,
AM-fabrication
systems.
synergistic
combination
is
expected
active
matter
expediting
transition
toward
fully
digital
Lab on a Chip,
Journal Year:
2024,
Volume and Issue:
24(5), P. 1419 - 1440
Published: Jan. 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.
Advanced Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 8, 2025
Tailored
droplet
generation
is
crucial
for
microfluidics
that
involve
samples
of
varying
sizes.
However,
the
absence
precise
predictive
models
forces
platforms
to
rely
on
empiricism
derived
from
extensive
experiments,
underscoring
need
comprehensive
modeling
analysis.
To
address
this,
a
novel
customized
assembled
centrifugal
step
emulsifier
(CASE)
presented
by
incorporating
"jigsaw
puzzles"
design
efficiently
acquire
large-scale
experimental
data.
Numerical
simulations
are
utilized
analyze
fluid
configurations
during
emulsification,
identifying
key
connection
tube
determines
size.
By
training
and
verifying
with
simulation
datasets,
theoretical
model
established
allows
preliminary
size
frequency
an
average
error
rate
4.8%,
successfully
filling
critical
gap
in
existing
field.
This
empowers
CASE
achieve
all-in-one
functionality,
including
pre-design,
generation,
manipulation,
on-site
detection.
As
proof
concept,
multiscale
sample
analysis
ranging
nanoscale
nucleic
acids
microscale
bacteria
3D
cell
spheroids
realized
CASE.
In
summary,
this
platform
offers
valuable
guidance
emulsifiers
promotes
adoption
biochemical
assays.
Biomedical
materials
are
of
great
significance
for
preventing
and
treating
major
diseases
protecting
human
health.
At
present,
more
stringent
requirements
have
been
put
forward
the
preparation
methods
dimension
control
biomedical
based
on
urgent
demand
high-performance
materials,
especially
existence
various
physiological
size
thresholds
in
vitro/in
vivo.
Microfluidic
platforms
break
limitations
traditional
micro-/nanomaterial
synthesis,
which
provide
a
miniaturized
highly
controlled
environment
size-dependent
biomaterials.
In
this
review,
basic
conceptions
technical
characteristics
microfluidics
first
described.
Then
syntheses
with
different
dimensions
(0D,
1D,
2D,
3D)
driven
by
systematically
summarized.
Meanwhile,
applications
microfluidics-driven
including
diagnosis,
anti-inflammatory,
drug
delivery,
antibacterial,
disease
therapy,
discussed.
Furthermore,
challenges
developments
research
field
further
proposed.
This
work
is
expected
to
facilitate
convergence
between
bioscience
engineering
communities
continue
contribute
emerging
field.
Royal Society of Chemistry eBooks,
Journal Year:
2024,
Volume and Issue:
unknown, P. 272 - 309
Published: Aug. 14, 2024
The
biological
sciences
now
have
a
wealth
of
exciting
prospects
because
artificial
intelligence
(AI).
For
the
analysis
enormous
amounts
information
generated
by
biotechnology
platforms
for
as
well
biomedical
applications,
AI
approaches
can
be
very
helpful.
With
advancements
in
controllable
response
chambers,
high
throughput
arrays,
and
tracking
devices,
microfluidics
generates
huge
quantities
data
which
is
not
always
properly
processed.
Biotechnology
research
benefit
from
increased
clinical
analytical
throughputs
integration
with
microfluidics.
While
improves
experimental
techniques
lowers
costs
scales,
technologies
dramatically
increase
processing
large
datasets
produced
multiplexed,
high-throughput
Future
such
drug
discovery,
quick
point-of-care
diagnostics,
customized
medicine,
may
all
gain
use
smart
A
summary
key
advances
integrated
presented
here
we
discuss
possibilities
combining