iScience,
Journal Year:
2024,
Volume and Issue:
27(3), P. 109141 - 109141
Published: Feb. 6, 2024
Recent
breakthroughs
in
developing
human-relevant
organotypic
models
led
to
the
building
of
highly
resemblant
tissue
constructs
that
hold
immense
potential
for
transplantation,
drug
screening,
and
disease
modeling.
Despite
progress
fine-tuning
stem
cell
multilineage
differentiation
controlled
spatiotemporal
conditions
hosting
microenvironments,
3D
still
experience
naive
incomplete
morphogenesis.
In
particular,
existing
systems
induction
protocols
fail
maintain
long-term
potency,
induce
high
tissue-level
multicellularity,
or
drive
maturity
cell-derived
levels
seen
their
Frontiers in Bioengineering and Biotechnology,
Journal Year:
2022,
Volume and Issue:
10
Published: April 25, 2022
Reproduction
of
different
tissues
using
scaffolds
and
materials
is
a
major
element
in
regenerative
medicine.
The
regeneration
whole
organs
with
decellularized
extracellular
matrix
(dECM)
has
remained
goal
despite
the
use
these
for
purposes.
Recently,
decellularization
techniques
have
been
widely
used
producing
that
are
appropriate
regenerating
damaged
may
be
able
to
overcome
shortage
donor
organs.
Decellularized
ECM
offers
several
advantages
over
synthetic
compounds,
including
preserved
natural
microenvironment
features.
Different
methods
developed,
each
which
removing
cells
from
specific
under
certain
conditions.
A
variety
advanced
evaluating
process
terms
cell
removal
efficiency,
tissue
ultrastructure
preservation,
toxicity,
biocompatibility,
biodegradability,
mechanical
resistance
order
enhance
efficacy
methods.
Modification
improve
characteristics
scaffolds,
making
them
available
tissues.
Moreover,
modification
makes
options
drug
delivery,
disease
modeling,
improving
stem
growth
proliferation.
However,
considering
challenges
way
application
this
field
constantly
developing
progressively
moving
forward.
This
review
outlined
recent
sterilization
strategies,
evaluation
tests
efficient
decellularization,
processing,
application,
future
outlooks
medicine
engineering.
Entropy,
Journal Year:
2022,
Volume and Issue:
24(6), P. 819 - 819
Published: June 12, 2022
One
of
the
most
salient
features
life
is
its
capacity
to
handle
novelty
and
namely
thrive
adapt
new
circumstances
changes
in
both
environment
internal
components.
An
understanding
this
central
several
fields:
evolution
form
function,
design
effective
strategies
for
biomedicine,
creation
novel
forms
via
chimeric
bioengineering
technologies.
Here,
we
review
instructive
examples
living
organisms
solving
diverse
problems
propose
competent
navigation
arbitrary
spaces
as
an
invariant
thinking
about
scaling
cognition
during
evolution.
We
argue
that
our
innate
recognize
agency
intelligence
unfamiliar
guises
lags
far
behind
ability
detect
it
familiar
behavioral
contexts.
The
multi-scale
competency
essential
adaptive
potentiating
providing
top-down
control
(not
micromanagement)
address
complex
disease
injury.
observer-focused
viewpoint
agnostic
scale
implementation,
illustrating
how
pivoted
similar
explore
exploit
metabolic,
transcriptional,
morphological,
finally
3D
motion
spaces.
By
generalizing
concept
behavior,
gain
perspectives
on
evolution,
system-level
biomedical
interventions,
construction
bioengineered
intelligences.
This
framework
a
first
step
toward
relating
highly
embodiments,
which
will
be
progress
artificial
regenerative
medicine
thriving
world
increasingly
populated
by
synthetic,
bio-robotic,
hybrid
beings.
Animal Cognition,
Journal Year:
2023,
Volume and Issue:
26(6), P. 1865 - 1891
Published: May 19, 2023
Abstract
Each
of
us
made
the
remarkable
journey
from
mere
matter
to
mind:
starting
life
as
a
quiescent
oocyte
(“just
chemistry
and
physics”),
slowly,
gradually,
becoming
an
adult
human
with
complex
metacognitive
processes,
hopes,
dreams.
In
addition,
even
though
we
feel
ourselves
be
unified,
single
Self,
distinct
emergent
dynamics
termite
mounds
other
swarms,
reality
is
that
all
intelligence
collective
intelligence:
each
consists
huge
number
cells
working
together
generate
coherent
cognitive
being
goals,
preferences,
memories
belong
whole
not
its
parts.
Basal
cognition
quest
understand
how
Mind
scales—how
large
numbers
competent
subunits
can
work
become
intelligences
expand
scale
their
possible
goals.
Crucially,
trick
turning
homeostatic,
cell-level
physiological
competencies
into
large-scale
behavioral
limited
electrical
brain.
Evolution
was
using
bioelectric
signaling
long
before
neurons
muscles
appeared,
solve
problem
creating
repairing
bodies.
this
Perspective,
I
review
deep
symmetry
between
developmental
morphogenesis
classical
behavior.
describe
highly
conserved
mechanisms
enable
implement
regulative
embryogenesis,
regeneration,
cancer
suppression.
sketch
story
evolutionary
pivot
repurposed
algorithms
cellular
machinery
navigation
morphospace
3D
world
which
so
readily
recognize
intelligence.
Understanding
underlie
construction
bodies
brains
provides
essential
path
understanding
natural
evolution,
bioengineered
design,
diverse
within
beyond
phylogenetic
history
Earth.
Communications Biology,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: March 28, 2024
Abstract
A
defining
feature
of
biology
is
the
use
a
multiscale
architecture,
ranging
from
molecular
networks
to
cells,
tissues,
organs,
whole
bodies,
and
swarms.
Crucially
however,
not
only
nested
structurally,
but
also
functionally:
each
level
able
solve
problems
in
distinct
problem
spaces,
such
as
physiological,
morphological,
behavioral
state
space.
Percolating
adaptive
functionality
one
competent
subunits
higher
functional
organization
requires
collective
dynamics:
multiple
components
must
work
together
achieve
specific
outcomes.
Here
we
overview
number
biological
examples
at
different
scales
which
highlight
ability
cellular
material
make
decisions
that
implement
cooperation
toward
homeodynamic
endpoints,
intelligence
by
solving
cell,
tissue,
whole-organism
levels.
We
explore
hypothesis
province
groups
animals,
an
important
symmetry
exists
between
science
swarms
competencies
cells
other
systems
scales.
then
briefly
outline
implications
this
approach,
possible
impact
tools
field
diverse
for
regenerative
medicine
synthetic
bioengineering.
Biological Journal of the Linnean Society,
Journal Year:
2022,
Volume and Issue:
139(4), P. 457 - 486
Published: July 14, 2022
Abstract
The
rich
variety
of
biological
forms
and
behaviours
results
from
one
evolutionary
history
on
Earth,
via
frozen
accidents
selection
in
specific
environments.
This
ubiquitous
baggage
natural,
familiar
model
species
obscures
the
plasticity
swarm
intelligence
cellular
collectives.
Significant
gaps
exist
our
understanding
origin
anatomical
novelty,
relationship
between
genome
form,
strategies
for
control
large-scale
structure
function
regenerative
medicine
bioengineering.
Analysis
living
that
have
never
existed
before
is
necessary
to
reveal
deep
design
principles
life
as
it
can
be.
We
briefly
review
existing
examples
chimaeras,
cyborgs,
hybrots
other
beings
along
spectrum
containing
evolved
designed
systems.
To
drive
experimental
progress
multicellular
synthetic
morphology,
we
propose
teleonomic
(goal-seeking,
problem-solving)
behaviour
diverse
problem
spaces
a
powerful
invariant
across
possible
regardless
composition
or
origin.
Cybernetic
perspectives
chimaeric
morphogenesis
erase
artificial
distinctions
established
by
past
limitations
technology
imagination.
suggest
multi-scale
competency
architecture
facilitates
evolution
robust
problem-solving,
machines.
Creation
analysis
novel
will
be
an
essential
testbed
emerging
field
intelligence,
with
numerous
implications
medicine,
robotics
ethics.
Biomimetics,
Journal Year:
2023,
Volume and Issue:
8(1), P. 110 - 110
Published: March 8, 2023
The
applicability
of
computational
models
to
the
biological
world
is
an
active
topic
debate.
We
argue
that
a
useful
path
forward
results
from
abandoning
hard
boundaries
between
categories
and
adopting
observer-dependent,
pragmatic
view.
Such
view
dissolves
contingent
dichotomies
driven
by
human
cognitive
biases
(e.g.,
tendency
oversimplify)
prior
technological
limitations
in
favor
more
continuous
view,
necessitated
study
evolution,
developmental
biology,
intelligent
machines.
Form
function
are
tightly
entwined
nature,
some
cases,
robotics
as
well.
Thus,
efforts
re-shape
living
systems
for
biomedical
or
bioengineering
purposes
require
prediction
control
their
at
multiple
scales.
This
challenging
many
reasons,
one
which
perform
functions
same
place
time.
refer
this
“polycomputing”—the
ability
substrate
simultaneously
compute
different
things,
make
those
available
observers.
important
way
things
kind
computer,
but
not
familiar,
linear,
deterministic
kind;
rather,
computers
broad
sense
materials,
reported
rapidly
growing
physical
computing
literature.
observer-centered
framework
computations
performed
evolved
designed
will
improve
understanding
mesoscale
events,
it
has
already
done
quantum
relativistic
To
develop
our
how
life
performs
polycomputing,
can
be
convinced
alter
functions,
we
first
create
technologies
polycompute
learn
functions.
Here,
review
examples
idea
overloading
on
hardware
design
principle
helps
understand
build
both
systems.
Learning
hack
existing
polycomputing
substrates,
well
evolve
new
ones,
have
massive
impacts
regenerative
medicine,
robotics,
computer
engineering.
Advanced Science,
Journal Year:
2023,
Volume and Issue:
11(4)
Published: Nov. 30, 2023
Fundamental
knowledge
gaps
exist
about
the
plasticity
of
cells
from
adult
soma
and
potential
diversity
body
shape
behavior
in
living
constructs
derived
genetically
wild-type
cells.
Here
anthrobots
are
introduced,
a
spheroid-shaped
multicellular
biological
robot
(biobot)
platform
with
diameters
ranging
30
to
500
microns
cilia-powered
locomotive
abilities.
Each
Anthrobot
begins
as
single
cell,
human
lung,
self-constructs
into
motile
biobot
after
being
cultured
extra
cellular
matrix
for
2
weeks
transferred
minimally
viscous
habitat.
Anthrobots
exhibit
diverse
behaviors
motility
patterns
tight
loops
straight
lines
speeds
5-50
s
Collective Intelligence,
Journal Year:
2023,
Volume and Issue:
2(2), P. 263391372311683 - 263391372311683
Published: April 1, 2023
Collective
intelligence
and
individual
are
usually
considered
to
be
fundamentally
different.
Individual
is
uncontroversial.
It
occurs
in
organisms
with
special
neural
machinery,
evolved
by
natural
selection
enable
cognitive
learning
functions
that
serve
the
fitness
benefit
of
organism,
then
trained
through
lifetime
experience
maximise
rewards.
Whilst
mechanisms
not
fully
understood,
good
models
exist
for
many
aspects
cognition
learning.
intelligence,
contrast,
a
much
more
ambiguous
idea.
What
exactly
constitutes
collective
often
vague,
might
it
frequently
domain-specific.
These
cannot
selected
specifically
purpose
because
collectives
(except
circumstances)
evolutionary
units,
clear
can
learn
way
intelligences
do
since
they
singular
locus
rewards
benefits.
Here,
we
use
examples
from
evolution
developmental
morphogenesis
argue
these
apparent
distinctions
as
categorical
appear.
Breaking
down
such
enables
us
borrow
expand
existing
framework
particular
connectionist
familiar
context
networks.
We
discuss
how
specific
features
inform
necessary
sufficient
conditions
identify
current
knowledge
gaps
opportunities
future
research.
Soft Robotics,
Journal Year:
2023,
Volume and Issue:
10(4), P. 674 - 686
Published: April 21, 2023
Advances
in
science
and
engineering
often
reveal
the
limitations
of
classical
approaches
initially
used
to
understand,
predict,
control
phenomena.
With
progress,
conceptual
categories
must
be
re-evaluated
better
track
recently
discovered
invariants
across
disciplines.
It
is
essential
refine
frameworks
resolve
conflicting
boundaries
between
disciplines
such
that
they
facilitate,
not
restrict,
experimental
capabilities.
In
this
essay,
we
address
specific
questions
critiques
which
have
arisen
response
our
research
program,
lies
at
intersection
developmental
biology,
computer
science,
robotics.
context
biological
machines
robots,
explore
changes
concepts
previously
distinct
fields
are
driven
by
recent
advances
materials,
information,
life
sciences.
Herein,
each
author
provides
their
own
perspective
on
subject,
framed
disciplinary
training.
We
argue
as
with
computation,
certain
aspects
biology
robotics
tied
materials;
rather,
consilience
these
can
help
shed
light
issues
multiscale
control,
self-assembly,
relationships
form
function.
hope
new
emerge
arising
from
technological
overcome,
furthering
practical
applications
regenerative
medicine
useful
synthetic
living
machines.
Synthese,
Journal Year:
2025,
Volume and Issue:
205(2)
Published: Jan. 16, 2025
Abstract
The
life
sciences
have
evoked
long-standing
philosophical
debates
on
a
system
view
of
versus
reductionist
that
reduces
the
complexity
life-forms
to
parts-based
entities
can
be
described
purely
mechanistically.
This
paper
examines
how
current
scientific
advances
in
contribute
an
anti-reductionist
concept
life.
It
does
so
by
looking
at
synthetic
biology,
discipline
within
has
ambiguous
relationship
this
debate.
While
field’s
engineering
approach
could
considered
manifestation
life,
it
also
builds
more
holistic,
systems
analyses
recent
practices
taking
place
biology
seem
challenge
After
analyzing
main
accounts
I
ask
support
these
considering
living
as
processual,
collaborative,
and
cognitive,
nonlife
gradual
scale.
empirically
informed
contributes
literature
drawing
observations
about
connecting
following:
sciences,
different
metaphysical
stances
philosophy
emerging
biology.
concludes
views