Organoids,
Год журнала:
2024,
Номер
3(2), С. 83 - 112
Опубликована: Май 13, 2024
Organoids
present
immense
promise
for
studying
organ
systems
and
their
functionality.
Recently,
they
have
become
the
subject
of
exploration
outside
purely
biomedical
uses
in
multiple
directions.
We
will
explore
rapidly
evolving
landscape
organoid
research
over
21st
century,
discussing
significant
advancements
highlighting
breakthroughs,
methodologies,
transformative
impact
on
our
understanding
physiology
modeling.
In
addition,
we
potential
use
biocomputing
harnessing
intelligence,
investigate
how
these
miniaturized
organ-like
structures
to
create
novel
computational
models
processing
platforms
allowing
innovative
approaches
drug
discovery,
personalized
medicine,
disease
prediction.
Lastly,
address
ethical
dilemmas
surrounding
by
dissecting
intricate
considerations
related
creation,
use,
implications
vitro
models.
Through
this
work,
goal
paper
is
provide
introductory
perspectives
bridges
that
connect
organoids
cybersecurity
applications
imperative
discourse
accompanying
its
with
commentary
future
uses.
Advanced Healthcare Materials,
Год журнала:
2024,
Номер
13(21)
Опубликована: Янв. 13, 2024
Brain
organoids
are
three-dimensional
aggregates
of
self-organized
differentiated
stem
cells
that
mimic
the
structure
and
function
human
brain
regions.
Organoids
bridge
gaps
between
conventional
drug
screening
models
such
as
planar
mammalian
cell
culture,
animal
studies,
clinical
trials.
They
can
revolutionize
fields
developmental
biology,
neuroscience,
toxicology,
computer
engineering.
Conventional
microinstrumentation
for
cellular
engineering,
microfluidic
chips;
microelectrode
arrays
(MEAs);
optical,
magnetic,
acoustic
techniques,
has
limitations
when
applied
to
(3D)
organoids,
primarily
due
their
limits
with
inherently
two-dimensional
geometry
interfacing.
Hence,
there
is
an
urgent
need
develop
new
instrumentation
compatible
live
culture
techniques
scalable
3D
formats
relevant
organoids.
This
review
discusses
approaches
emerging
necessary
advanced
organoid-machine
interfaces.
Specifically,
this
article
surveys
recently
developed
microinstrumentation,
including
printed
curved
microfluidics,
fast-scan
optical
buckling
self-folding
MEAs,
interfaces
electrochemical
measurements,
spatially
controllable
magnetic
technologies
two-way
information
transfer
highlights
key
challenges
must
be
addressed
robust
organoid
reliable
spatiotemporal
transfer.
Cell organoid (Print),
Год журнала:
2024,
Номер
unknown
Опубликована: Май 1, 2024
Environmental
pollutants
are
mainly
produced
by
human
production
and
living,
pose
a
serious
threat
to
health.
Health
risk
assessments
of
environmental
needed
in
order
contribute
the
development
reasonable
control
measures.
In
comparison
two-dimensional
(2D)
cell
culture
experimental
animals,
organoids
excellent
alternative
models
for
health
assessment
pollutants.
this
review,
we
described
application
toxicity
testing
Finally,
there
was
discussion
unique
advantages
challenges
as
test
models.
It
is
hoped
that
will
provide
insight
into
field
toxicology.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 19, 2024
Summary
Brain
Microphysiological
Systems
including
neural
organoids
derived
from
human
induced
pluripotent
stem
cells
offer
a
unique
lens
to
study
the
intricate
workings
of
brain.
This
paper
investigates
foundational
elements
learning
and
memory
in
organoids,
also
known
as
Organoid
Intelligence
by
quantifying
immediate
early
gene
expression,
synaptic
plasticity,
neuronal
network
dynamics,
criticality
demonstrate
utility
these
basic
science
research.
Neural
showed
synapse
formation,
glutamatergic
GABAergic
receptor
expression
basally
evoked,
functional
connectivity,
criticality,
plasticity
response
theta-burst
stimulation.
In
addition,
pharmacological
interventions
on
receptors,
input
specific
stimulation
further
shed
light
capacity
mirror
modulation
short-term
potentiation,
demonstrating
their
potential
tools
for
studying
neurophysiological
neurological
processes
informing
therapeutic
strategies
diseases.
Graphical
Abstract
Overview
main
components
experiments
conducted.
Figure
created
using
BioRender.com.
Taiwanese Journal of Obstetrics and Gynecology,
Год журнала:
2025,
Номер
64(2), С. 253 - 264
Опубликована: Март 1, 2025
This
study
aims
to
develop
and
validate
a
model
based
on
the
weighted
random
forest
(WRF)
algorithm
predict
early-onset
preeclampsia
(PE)
assess
importance
of
various
clinical
biochemical
markers
in
early
risk
identification.
was
conducted
at
Jiangxi
Maternal
Child
Health
Hospital
involved
12,699
pregnant
women
from
January
2019
June
2022.
Extensive
were
collected
through
prenatal
care
data,
which
used
construct
predictive
for
PE.
The
developed
using
WRF
Logistic
regression
methods,
multivariable
analysis
employed
identify
significantly
associated
with
relative
evaluated
(RF)
sample
1200
patients
diagnosed
Blood
pressure
pre-pregnancy
body
mass
index
(BMI)
identified
as
most
critical
variables
affecting
accuracy
PE
prediction
model.
demonstrated
higher
(AUC
=
0.9614)
than
0.9138),
highlighting
its
superiority
identification
WRF-based
this
effectively
predicts
PE,
blood
BMI
vital
factors.
These
findings
underscore
employing
comprehensive
assessment
pregnancy,
facilitating
intervention
improving
health
outcomes
their
newborns.
Biosensors,
Год журнала:
2025,
Номер
15(3), С. 179 - 179
Опубликована: Март 12, 2025
Three-dimensional
neuronal
organoids,
spheroids,
and
tissue
mimics
are
increasingly
used
to
model
cognitive
processes
in
vitro.
These
3D
constructs
also
the
effects
of
neurological
psychiatric
disorders
perform
computational
tasks.
The
brain’s
complex
network
neurons
is
activated
via
feedforward
sensory
pathways.
Therefore,
an
interface
that
models
pathway-like
inputs
desirable.
In
this
work,
optical
for
was
developed.
Dendrites
axons
extended
by
cortical
within
were
guided
into
microchannel-confined
bundles.
neurite
bundles
then
optogenetically
stimulated,
evoked
responses
evaluated
calcium
imaging.
Optical
stimulation
designed
deliver
distinct
input
patterns
construct,
mimicking
pathway
areas
intact
brain.
Responses
possessed
features
population
code,
including
separability
pattern
mixed
selectivity
individual
neurons.
This
work
represents
first
demonstration
a
activation
networks
constructs.
Another
innovation
development
all-optical
constructs,
which
does
not
require
use
expensive
microelectrode
arrays.
may
enable
investigations
information
processing.
It
studies
neurodegenerative
or
on
computation.
The Neuroscientist,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 13, 2025
Harnessing
intelligence
from
brain
cells
in
vitro
requires
a
multidisciplinary
approach
integrating
wetware,
hardware,
and
software.
Wetware
comprises
the
themselves,
where
differentiation
induced
pluripotent
stem
offers
ethical
scalability;
hardware
typically
involves
life
support
system
setup
to
record
activity
deliver
stimulation
cells;
software
is
required
control
process
signals
coming
going
cells.
This
review
provides
broad
summary
of
foundational
technologies
underpinning
these
components,
along
with
outlining
importance
technology
integration.
Of
particular
that
this
new
ability
extend
beyond
traditional
methods
assess
primarily
survival
spontaneous
neural
cultures.
Instead,
focus
returns
core
function
tissue:
neurocomputational
information
respond
accordingly.
Therefore,
also
covers
work
that,
despite
relatively
early
state
current
technology,
has
provided
novel
meaningful
understandings
field
neuroscience
opening
exciting
avenues
for
future
research.
BMB Reports,
Год журнала:
2024,
Номер
57(7), С. 311 - 317
Опубликована: Июль 3, 2024
Brain
organoid
is
a
three-dimensional
(3D)
tissue
derived
from
stem
cells
such
as
induced
pluripotent
(iPSCs)
embryonic
(ESCs)
that
reflect
real
human
brain
structure.
It
replicates
the
complexity
and
development
of
brain,
enabling
studies
in
vitro.
With
emerging
technologies,
its
application
various,
including
disease
modeling
drug
screening.
A
variety
experimental
methods
have
been
used
to
study
structural
molecular
characteristics
organoids.
However,
electrophysiological
analysis
necessary
understand
their
functional
complexity.
Although
approaches
rapidly
advanced
for
monolayered
cells,
there
are
some
limitations
studying
neural
network
due
lack
3D
characteristics.
Herein,
measurement
analytical
related
organoids
reviewed.
Overall,
understanding
allows
us
overcome
monolayer
vitro
cell
culture
models,
providing
deep
insights
into
complex
new
ways
modeling.
[BMB
Reports
2024;
57(7):
311-317].
