BioEssays,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 2, 2024
ABSTRACT
The
dominant
paradigm
in
biomedicine
focuses
on
genetically‐specified
components
of
cells
and
their
biochemical
dynamics,
emphasizing
bottom‐up
emergence
complexity.
Here,
I
explore
the
biomedical
implications
a
complementary
emerging
field:
diverse
intelligence.
Using
tools
from
behavioral
science
multiscale
neuroscience,
we
can
study
development,
regenerative
repair,
cancer
suppression
as
behaviors
collective
intelligence
navigating
spaces
possible
morphologies
transcriptional
physiological
states.
A
focus
competencies
living
material—from
molecular
to
organismal
scales—reveals
new
landscape
for
interventions.
Such
top‐down
approaches
take
advantage
memories
homeodynamic
goal‐seeking
behavior
tissues,
offering
same
massive
advantages
bioengineering
that
reprogrammable
hardware
has
provided
information
technologies.
bioelectric
networks
bind
individual
toward
large‐scale
anatomical
goals
are
an
especially
tractable
interface
organ‐level
plasticity,
modulate
them
already
exist.
This
suggests
research
program
understand
tame
software
life
therapeutic
gain
by
understanding
many
examples
basal
cognition
operate
throughout
bodies.
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.
Cellular and Molecular Life Sciences,
Journal Year:
2023,
Volume and Issue:
80(6)
Published: May 8, 2023
Abstract
A
critical
aspect
of
evolution
is
the
layer
developmental
physiology
that
operates
between
genotype
and
anatomical
phenotype.
While
much
work
has
addressed
mechanisms
evolvability
specific
genetic
architectures
with
emergent
complexity,
one
not
been
sufficiently
explored:
implications
morphogenetic
problem-solving
competencies
for
evolutionary
process
itself.
The
cells
works
are
passive
components:
rather,
they
have
numerous
capabilities
behavior
because
derive
from
ancestral
unicellular
organisms
rich
repertoires.
In
multicellular
organisms,
these
must
be
tamed,
can
exploited,
by
process.
Specifically,
biological
structures
a
multiscale
competency
architecture
where
cells,
tissues,
organs
exhibit
regulative
plasticity—the
ability
to
adjust
perturbations
such
as
external
injury
or
internal
modifications
still
accomplish
adaptive
tasks
across
metabolic,
transcriptional,
physiological,
problem
spaces.
Here,
I
review
examples
illustrating
how
physiological
circuits
guiding
cellular
collective
impart
computational
properties
agential
material
serves
substrate
then
explore
ways
in
which
intelligence
during
morphogenesis
affect
evolution,
providing
new
perspective
on
search
This
key
feature
software
life
helps
explain
remarkable
speed
robustness
sheds
light
relationship
genomes
functional
phenotypes.
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.
The European Physical Journal E,
Journal Year:
2025,
Volume and Issue:
48(2)
Published: Feb. 1, 2025
In
the
past
years,
amount
of
research
on
active
matter
has
grown
extremely
rapidly,
a
fact
that
is
reflected
in
particular
by
existence
more
than
1000
reviews
this
topic.
Moreover,
field
become
very
diverse,
ranging
from
theoretical
studies
statistical
mechanics
particles
to
applied
work
medical
applications
microrobots
and
biological
systems
artificial
swimmers.
This
makes
it
difficult
get
an
overview
over
as
whole.
Here,
we
provide
such
form
metareview
article
surveys
existing
review
articles
books
matter.
Thereby,
provides
useful
starting
point
for
finding
literature
about
specific
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.
Trends in Molecular Medicine,
Journal Year:
2023,
Volume and Issue:
29(9), P. 687 - 710
Published: July 20, 2023
The
remarkable
anatomical
homeostasis
exhibited
by
complex
living
organisms
suggests
that
they
are
inherently
reprogrammable
information-processing
systems
offer
numerous
interfaces
to
their
physiological
and
problem-solving
capacities.
We
briefly
review
data
suggesting
the
multiscale
competency
of
forms
affords
a
new
path
for
biomedicine
exploits
innate
collective
intelligence
tissues
organs.
concept
tissue-level
allostatic
goal-directedness
is
already
bearing
fruit
in
clinical
practice.
sketch
roadmap
towards
'somatic
psychiatry'
using
advances
bioelectricity
behavioral
neuroscience
design
methods
induce
self-repair
structure
function.
Relaxing
assumption
cellular
control
mechanisms
static,
exploiting
powerful
concepts
from
cybernetics,
science,
developmental
biology
may
spark
definitive
solutions
current
biomedical
challenges.
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
Patterns,
Journal Year:
2023,
Volume and Issue:
4(5), P. 100737 - 100737
Published: April 26, 2023
Many
aspects
of
health
and
disease
are
modeled
using
the
abstraction
a
"pathway"—a
set
protein
or
other
subcellular
activities
with
specified
functional
linkages
between
them.
This
metaphor
is
paradigmatic
case
deterministic,
mechanistic
framework
that
focuses
biomedical
intervention
strategies
on
altering
members
this
network
up-/down-regulation
links
them—rewiring
molecular
hardware.
However,
pathways
transcriptional
networks
exhibit
interesting
unexpected
capabilities
such
as
trainability
(memory)
information
processing
in
context-sensitive
manner.
Specifically,
they
may
be
amenable
to
manipulation
via
their
history
stimuli
(equivalent
experiences
behavioral
science).
If
true,
would
enable
new
class
interventions
target
dynamic
physiological
"software"
implemented
by
gene-regulatory
networks.
Here,
we
briefly
review
clinical
laboratory
data
show
how
high-level
cognitive
inputs
pathway
modulation
interact
determine
outcomes
vivo.
Further,
propose
an
expanded
view
from
perspective
basal
cognition
argue
broader
understanding
process
contextual
across
scales
will
catalyze
progress
many
areas
physiology
neurobiology.
We
fuller
functionality
tractability
must
go
beyond
focus
details
drug
structure
encompass
well
embedding
within
higher
levels
organization
organism,
numerous
implications
for
science
addressing
disease.
Exploiting
tools
concepts
sciences
explore
proto-cognitive
underlying
more
than
philosophical
stance
biochemical
processes;
at
stake
roadmap
overcoming
limitations
today's
pharmacological
inferring
future
therapeutic
wide
range
states.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(37)
Published: March 19, 2024
Abstract
Engineering
or
mimicking
living
materials
found
in
nature
has
the
potential
to
transform
use
of
materials.
Unlike
classic
synthetic
which
are
typically
optimized
for
static
properties,
economics,
and
recently
also
sustainability,
life
dynamic,
feedback‐controlled,
evolving,
adaptive.
Although
do
not
exhibit
such
complicated
functionalities,
researchers
increasingly
challenging
this
viewpoint
expanding
material
concepts
toward
dynamic
systems
inspired
by
selected
life‐like
functions.
Herein,
it
is
suggested
that
can
be
approached
from
two
perspectives:
through
engineering
biological
organisms
their
functions
provide
basis
new
materials,
producing
with
rudimentary
life‐inspired
Current
advances
discussed
perspectives
(i)
features
based
on
built‐in
memory
associative
learning,
(ii)
emergent
structures
self‐regulated
designs
using
non‐equilibrium
systems,
(iii)
interfacing
non‐living
form
cellular
community
control
growth
open
routes
fabrication.
Strategies
combining
(i)–(iii)
responses
applications
interactive
autonomous
devices,
helping
realize
next‐generation
sensors,
soft
robots,
external
over
bioproduction
self‐organizing
structural