Soft Matter,
Год журнала:
2023,
Номер
19(46), С. 9017 - 9026
Опубликована: Янв. 1, 2023
Time-varying
fields
drive
the
motion
of
magnetic
particles
adsorbed
on
liquid
drops
due
to
interfacial
constraints
that
couple
torques
capillary
forces.
Such
magneto-capillary
particle
dynamics
and
associated
fluid
flows
are
potentially
useful
for
propelling
drop
motion,
mixing
contents,
enhancing
mass
transfer
between
phases.
The
design
such
functions
benefits
from
development
validation
predictive
models.
Here,
we
apply
methods
Bayesian
data
analysis
identify
validate
a
dynamical
model
accurately
predicts
field-driven
at
interface
spherical
droplet.
Building
previous
work,
consider
candidate
models
describe
tilting
interface,
field-dependent
contributions
moment,
gravitational
forces,
their
combinations.
each
is
informed
by
tracking
Janus
sphere
moving
in
precessing
field
different
frequencies
angles.
We
infer
uncertain
parameters
model,
criticize
ability
predict
experimental
data,
select
most
probable
candidate,
which
accounts
forces
interface.
show
how
this
favored
can
complex
trajectories
with
micron-level
accuracy
across
range
driving
considered.
discuss
knowledge
"best"
be
used
experiments
inform
accurate
parameter
estimates
or
achieve
desired
trajectories.
Sri Ramachandra Journal of Health Sciences,
Год журнала:
2025,
Номер
4, С. 44 - 52
Опубликована: Март 1, 2025
Background
Artificial
intelligence
(AI)
is
a
boon
to
the
human
race
that
offers
transformative
potential
in
medical
care
system,
revolutionizing
well-being.
Over
past
five
decades,
AI
has
evolved
significantly
deep
learning
and
machine
(ML).
subfields
work
together
provide
for
various
applications.
ML
self-learning
system
can
improve
its
performance
through
training
experiences.
Utilizing
artificial
neural
networks
mimics
brain
functions,
while
computer
vision
involves
computers
extracting
information
from
images
or
videos.
The
application
of
deployed
across
diverse
fields,
including
cardiology,
dermatology,
ophthalmology,
oncology,
enhancing
diagnostic
procedures
treatment
outcomes.
Objective
This
review
aims
explore
current
trends
healthcare,
evaluate
impact
different
identify
future
prospects
AI-driven
innovations
personalized
medicine
beyond.
Method
A
comprehensive
literature
analysis
was
undertaken
using
prominent
databases
such
as
“PubMed,”
“Scopus,”
“Google
Scholar.”
Results
found
impacted
multiple
areas
healthcare.
In
diagnostics,
applications
have
improved
accuracy
efficiency,
particularly
fields
cardiology
oncology.
Overall,
holds
promise
success
will
depend
on
addressing
challenges
continuing
advance
both
technology
implementation
practices.
Journal of Fluid Mechanics,
Год журнала:
2025,
Номер
1007
Опубликована: Март 17, 2025
The
encapsulation
of
active
particles,
such
as
bacteria
or
colloids,
inside
a
droplet
gives
rise
to
non-trivial
shape
dynamics
and
displacement.
To
understand
this
behaviour,
we
derive
an
asymptotic
solution
for
the
fluid
flow
about
deformable
containing
particle,
modelled
Stokes-flow
singularity,
in
case
small
distortions.
We
develop
general
any
Stokes
singularity
apply
it
compute
flows
resulting
velocity
due
common
representations
Stokeslets,
rotlets
stresslets.
results
show
that
offsetting
particle
from
centre
drop
breaks
symmetry
excites
large
number
generally
non-axisymmetric
modes
well
motion.
In
swimming
stresslet
run-and-tumble
locomotion
superdiffusive
effect
interfacial
properties
is
also
investigated.
Surfactants
adsorbed
at
interface
counteract
internal
arrest
motion
all
singularities
except
Stokeslet.
Our
highlight
strategies
steer
particles
create
autonomously
navigating
containers.
Micromachines,
Год журнала:
2025,
Номер
16(4), С. 373 - 373
Опубликована: Март 25, 2025
This
study
investigates
the
complex
dynamic
behavior
of
three-tailed
helical
microrobots
operating
in
confined
spaces.
A
stochastic
model
has
been
developed
to
analyze
effects
input
angular
velocity,
current,
fluid
viscosity,
and
channel
width
on
their
motion
trajectories,
mean
squared
displacement
(MSD),
wobbling
rate.
The
results
indicate
that
Gaussian
white
noise
exerts
a
dispersive
driving
effect
characteristics
microrobots,
leading
49%
reduction
velocity
compared
deterministic
conditions.
Additionally,
time
required
for
traverse
from
initial
position
bifurcation
point
decreases
by
65%
when
current
is
increased
39%
viscosity
reduced.
These
findings
underscore
importance
optimizing
control
parameters
effectively
mitigate
impacts,
enhancing
practical
performance
real-world
applications.
research
offers
solid
theoretical
support
guidance
deployment
environments.
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 16, 2025
Neuroblastoma,
a
highly
malignant
pediatric
tumor,
demands
innovative
targeted
drug
delivery
strategies
to
overcome
the
limitations
of
conventional
therapies.
In
this
study,
we
developed
magnetic
diatom
microrobots
(DMs)
using
frustules
as
biotemplates,
leveraging
their
natural
hierarchical
porosity
and
biocompatibility.
Functionalized
with
amino
groups
folic
acid,
these
demonstrated
enhanced
conjugation
tumor-targeting
capabilities.
Designed
carry
either
cisplatin
(CDDP)
or
paclitaxel
(PTX),
DMs
facilitated
complementary
therapeutic
effects
through
pH-responsive
release,
enabling
synergistic
neuroblastoma
therapy.
Magnetic
actuation
tests
confirmed
multimodal
propulsion
precise
motion
control.
vitro
experiments
efficacy
reduced
off-target
compared
those
approaches.
These
diatom-templated
microrobots,
facile
fabrication
superior
performance,
represent
promising
platform
for
advanced
cancer
Advanced Materials,
Год журнала:
2023,
Номер
36(18)
Опубликована: Дек. 16, 2023
Abstract
Magnetic
microrobots
have
been
developed
for
navigating
microscale
environments
by
means
of
remote
magnetic
fields.
However,
limited
propulsion
speeds
at
small
scales
remain
an
issue
in
the
maneuverability
these
devices
as
force
and
torque
are
proportional
to
their
volume.
Here,
a
microrobotic
superstructure
is
proposed,
which,
analogous
supramolecular
system,
consists
two
or
more
units
that
interconnected
organized
through
physical
(transient)
component
(a
polymeric
frame
thread).
The
superstructures
consist
microfabricated
helical
micromachines
interlocked
gelatin
nanocomposite
containing
iron
oxide
nanoparticles
(IONPs).
While
microhelices
enable
motion
superstructure,
IONPs
serve
heating
transducers
dissolving
chassis
via
hyperthermia.
In
practical
demonstration,
superstructure's
with
gradient
field
large
channel,
disassembly
release
high‐frequency
alternating
field,
corkscrew
locomotion
released
helices
channel
rotating
showcased.
This
adaptable
reacts
different
inputs,
which
can
be
used
perform
complex
delivery
procedures
within
intricate
regions
human
body.
