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.
Recent
advances
in
human
stem
cell-derived
brain
organoids
promise
to
replicate
critical
molecular
and
cellular
aspects
of
learning
memory
possibly
cognition
vitro
.
Coining
the
term
“organoid
intelligence”
(OI)
encompass
these
developments,
we
present
a
collaborative
program
implement
vision
multidisciplinary
field
OI.
This
aims
establish
OI
as
form
genuine
biological
computing
that
harnesses
using
scientific
bioengineering
an
ethically
responsible
manner.
Standardized,
3D,
myelinated
can
now
be
produced
with
high
cell
density
enriched
levels
glial
cells
gene
expression
for
learning.
Integrated
microfluidic
perfusion
systems
support
scalable
durable
culturing,
spatiotemporal
chemical
signaling.
Novel
3D
microelectrode
arrays
permit
high-resolution
electrophysiological
signaling
recording
explore
capacity
recapitulate
mechanisms
formation
and,
ultimately,
their
computational
potential.
Technologies
could
enable
novel
biocomputing
models
via
stimulus-response
training
organoid-computer
interfaces
are
development.
We
envisage
complex,
networked
whereby
connected
real-world
sensors
output
devices,
ultimately
each
other
sensory
organ
(e.g.
retinal
organoids),
trained
biofeedback,
big-data
warehousing,
machine
methods.
In
parallel,
emphasize
embedded
ethics
approach
analyze
ethical
raised
by
research
iterative,
manner
involving
all
relevant
stakeholders.
The
many
possible
applications
this
urge
strategic
development
discipline.
anticipate
OI-based
allow
faster
decision-making,
continuous
during
tasks,
greater
energy
data
efficiency.
Furthermore,
“intelligence-in-a-dish”
help
elucidate
pathophysiology
devastating
developmental
degenerative
diseases
(such
dementia),
potentially
aiding
identification
therapeutic
approaches
address
major
global
unmet
needs.
Cancer Letters,
Год журнала:
2023,
Номер
562, С. 216180 - 216180
Опубликована: Апрель 13, 2023
Patient-derived
organoids
(PDO)
are
a
new
biomedical
research
model
that
can
reconstruct
phenotypic
and
genetic
characteristics
of
the
original
tissue
useful
for
on
pathogenesis
drug
screening.
To
introduce
progression
in
this
field,
we
review
key
factors
constructing
derived
from
epithelial
tissues
cancers,
covering
culture
medium
matrix,
morphological
characteristics,
profiles,
high-throughput
screening,
application
potential.
We
also
discuss
co-culture
system
cancer
with
tumor
microenvironment
(TME)
associated
cells.
The
is
widely
used
evaluating
crosstalk
cells
TME
components,
such
as
fibroblasts,
endothelial
cells,
immune
microorganisms.
article
provides
prospective
standardized
cultivation
mode,
automatic
evaluation,
sensitivity
screening
using
methods.
Advanced Healthcare Materials,
Год журнала:
2024,
Номер
13(21)
Опубликована: Янв. 22, 2024
Brain
organoids
are
3D
in
vitro
culture
systems
derived
from
human
pluripotent
stem
cells
that
self-organize
to
model
features
of
the
(developing)
brain.
This
review
examines
techniques
behind
organoid
generation,
their
current
and
potential
applications,
future
directions
for
field.
possess
complex
architecture
containing
various
neural
cell
types,
synapses,
myelination.
They
have
been
utilized
toxicology
testing,
disease
modeling,
infection
studies,
personalized
medicine,
gene-environment
interaction
studies.
An
emerging
concept
termed
Organoid
Intelligence
(OI)
combines
with
artificial
intelligence
generate
learning
memory,
goals
modeling
cognition
enabling
biological
computing
applications.
allow
neuroscience
studies
not
previously
achievable
traditional
techniques,
transform
drug
development,
understanding
brain
development
disorders.
The
aspirational
vision
OI
parallels
origins
intelligence,
efforts
underway
map
a
roadmap
toward
its
realization.
In
summary,
constitute
disruptive
technology
is
rapidly
advancing
gaining
traction
across
multiple
disciplines.
Frontiers in Artificial Intelligence,
Год журнала:
2024,
Номер
6
Опубликована: Янв. 15, 2024
The
functions
of
human
resource
management
(HRM)
have
changed
radically
in
the
past
20
years
due
to
market
and
technological
forces,
becoming
more
cross-functional
data-driven.
In
age
AI,
role
HRM
professionals
organizations
continues
evolve.
Artificial
intelligence
(AI)
is
transforming
many
practices
throughout
creating
system
process
efficiencies,
performing
advanced
data
analysis,
contributing
value
creation
organization.
A
growing
body
evidence
highlights
benefits
AI
brings
field
HRM.
Despite
increased
interest
AI-HRM
scholarship,
focus
on
human-AI
interaction
at
work
AI-based
technologies
for
limited
fragmented.
Moreover,
lack
considerations
tech
design
deployment
can
hamper
digital
transformation
efforts.
This
paper
provides
a
contemporary
forward-looking
perspective
strategic
human-centric
plays
within
as
becomes
integrated
workplace.
Spanning
three
distinct
phases
integration
(technocratic,
integrated,
fully-embedded),
it
examines
technical,
human,
ethical
challenges
each
phase
suggestions
how
overcome
them
using
approach.
Our
importance
evolving
AI-driven
organization
roadmap
bring
humans
machines
closer
together
ACS Sensors,
Год журнала:
2024,
Номер
9(7), С. 3466 - 3488
Опубликована: Июль 11, 2024
Organ-on-a-Chip
(OOC)
technology,
which
emulates
the
physiological
environment
and
functionality
of
human
organs
on
a
microfluidic
chip,
is
undergoing
significant
technological
advancements.
Despite
its
rapid
evolution,
this
technology
also
facing
notable
challenges,
such
as
lack
vascularization,
development
multiorgan-on-a-chip
systems,
replication
body
single
chip.
The
progress
has
played
crucial
role
in
steering
OOC
toward
mimicking
microenvironment,
including
microenvironment
replication,
multiorgan
microphysiological
systems.
Additionally,
advancements
detection,
analysis,
organoid
imaging
technologies
have
enhanced
efficiency
Organs-on-Chips
(OOCs).
In
particular,
integration
artificial
intelligence
revolutionized
imaging,
significantly
enhancing
high-throughput
drug
screening.
Consequently,
review
covers
research
Human-on-a-chip,
sensors
OOCs,
latest
applications
biomedical
field.
Frontiers in Cellular Neuroscience,
Год журнала:
2025,
Номер
18
Опубликована: Янв. 8, 2025
At
its
core,
synthetic
biological
intelligence
seeks
to
enhance
the
functionality
of
systems
by
integrating
artificial
(AI)
technologies.
Organoid
Intelligence
(OI)
(Smirnova
et
al.,
2023),
a
subset
SBI,
demonstrates
potential
revolutionize
biomedical
research
leveraging
organoids-miniature,
lab-grown
versions
human
organs
derived
from
stem
cells-as
computational
models.
These
models
o^er
unparalleled
insights
into
biology
and
disease
mechanisms.
This
Research
Topic
is
part
attempts
establishing
community
realize
this
promise
(Morales
Patoja
2023;Hartung
2023).The
ability
use
organoids
as
personalized
significant
advancement.They
provide
platform
test
drug
e^icacy
toxicity
in
patient-specific
contexts,
moving
us
closer
truly
individualized
medicine.
Moreover,
model
rare
diseases
genetic
disorders,
which
often
lack
e^ective
animal
or
in-vitro
analogs,
underscores
societal
medical
value
research.While
SBI
OI
immense,
field
faces
several
challenges.
starts
with
common
nomenclature,
aka
ontology
(Kagan
2024).
Reproducibility
models,
e^iciency
AI
algorithms
interpreting
complex
data,
integration
these
existing
clinical
pipelines
remain
hurdles.
Additionally,
interfacing
controlling
bioengineering
perspective
still
largely
uncharted.The
presented
that
challenges
are
not
insurmountable.
Innovative
experimental
frameworks
novel
inspired
in-silico
solutions
roadmap
for
overcoming
barriers.
Engineering
advancements
interfaces
hardware
will
further
accelerate
progress
domain.As
we
stand
on
brink
creating
living,
thinking
merge
digital
realms,
ethical
considerations
paramount.
The
implications
extend
beyond
medicine
broader
concerns,
including
privacy,
consent,
security
data.
topics
require
multidisciplinary
dialogue
establishment
robust
frameworks.This
highlights
transformative
combining
intelligence.
It
lays
groundwork
future
exploration
themes
such
unconventional
computing,
modeling,
engineering.
As
evolve,
they
redefine
our
understanding
push
boundaries
what
possible
technology
medicine.As
Editors,
breadth
work
showcased
collection
passion
researchers
contributing
burgeoning
field.
With
continued
collaboration,
innovation,
stewardship,
organoid
undoubtedly
approach
solving
Biotechnology Advances,
Год журнала:
2023,
Номер
68, С. 108233 - 108233
Опубликована: Авг. 7, 2023
Integrating
neural
cultures
developed
through
synthetic
biology
methods
with
digital
computing
has
enabled
the
early
development
of
Synthetic
Biological
Intelligence
(SBI).
Recently,
key
studies
have
emphasized
advantages
biological
systems
in
some
information
processing
tasks.
However,
neither
technology
behind
this
development,
nor
potential
ethical
opportunities
or
challenges,
been
explored
detail
yet.
Here,
we
review
aspects
that
facilitate
SBI
and
explore
applications.
Considering
these
foreseeable
use
cases,
various
implications
are
proposed.
Ultimately,
work
aims
to
provide
a
robust
framework
structure
considerations
ensure
can
be
both
researched
applied
responsibly.
ALTEX,
Год журнала:
2023,
Номер
unknown, С. 191 - 203
Опубликована: Янв. 1, 2023
Understanding
brain
function
remains
challenging
as
work
with
human
and
animal
models
is
complicated
by
compensatory
mechanisms,
while
in
vitro
have
been
too
simple
until
now.
With
the
advent
of
stem
cells
bioengineering
microphysiological
systems
(MPS),
understanding
how
both
cognition
long-term
memory
arise
now
coming
into
reach.
We
suggest
combining
cutting-edge
AI
MPS
research
to
spearhead
organoid
intelligence
(OI)
synthetic
biological
intelligence.
The
vision
realize
cognitive
functions
scale
them
achieve
relevant
short-
capabilities
basic
information
processing
ultimate
functional
experimental
for
neurodevelopment
neurological
cell-based
assays
drug
chemical
testing.
By
advancing
frontiers
computing,
we
aim
(a)
create
intelligence-in-a-dish
study
basis
functions,
(b)
provide
advance
search
toxicants
contributing
diseases
identify
remedies
maladies,
(c)
computational
capacities
complement
traditional
computing.
Increased
functionality,
some
respects
still
superior
today's
supercomputers,
may
allow
imitate
this
neuromorphic
computer
architectures
or
might
even
open
up
computing
silicon
computers.
At
same
time,
raises
ethical
questions
such
where
sentience
consciousness
start
what
relationship
between
a
cell
donor
respective
OI
system
is.
Such
discussions
will
be
critical
socially
acceptable
cognition.
Developmental
neurotoxicity
(DNT)
testing
has
seen
enormous
progress
over
the
last
two
decades.
Preceding
even
publication
of
animal-based
OECD
test
guideline
for
DNT
in
2007,
a
series
non-animal
technology
workshops
and
conferences
(starting
2005)
shaped
community
that
delivered
comprehensive
battery
vitro
methods
(IVB).
Its
data
interpretation
is
covered
by
very
recent
guidance
(No.
377).
Here,
we
aim
to
overview
field,
focusing
on
evolution
strategies,
role
emerging
technologies,
impact
guidelines
testing.
In
particular,
this
an
example
targeted
development
animal-free
approach
one
most
complex
hazards
chemicals
human
health.
These
developments
started
literally
from
blank
slate,
with
no
proposed
alternative
available.
Over
decades,
cutting-edge
science
enabled
design
spares
animals
enables
throughput
challenging
hazard.
While
it
evident
field
needs
regulation,
massive
economic
decreased
cognitive
capacity
caused
chemical
exposure
should
be
prioritized
more
highly.
Beyond
this,
claim
fame
scientific
brought
understanding
brain,
its
development,
how
can
perturbed.
Plain
language
summaryDevelopmental
predicts
hazard
brain
development.
Comprehensive
advanced
strategies
using
now
replace
approaches
assess
large
numbers
accurately
efficiently
than
approach.
Recent
formalized
DNT,
marking
pivotal
achievement
field.
The
shift
towards
reflects
both
commitment
animal
welfare
growing
recognition
public
health
impacts
associated
impaired
function
exposures.
innovations
ultimately
contribute
safer
management
better
protection
health,
especially
during
vulnerable
stages