The Constrained Disorder Principle: Beyond Biological Allostasis
Biology,
Journal Year:
2025,
Volume and Issue:
14(4), P. 339 - 339
Published: March 25, 2025
The
constrained
disorder
principle
(CDP)
defines
complex
biological
systems
based
on
inherent
variability.
Allostasis
refers
to
the
physiological
processes
that
help
maintain
stability
in
response
changing
environmental
demands.
Allostatic
load
describes
cumulative
wear
and
tear
body
resulting
from
prolonged
exposure
stress,
it
has
been
suggested
mediate
relationship
between
stress
disease.
This
study
presents
concepts
of
CDP
allostasis
while
discussing
their
similarities
differences.
We
reviewed
current
literature
potential
benefits
introducing
controlled
doses
noise
into
interventions,
which
may
enhance
effectiveness
therapies.
paper
highlights
promising
role
variability
provided
by
a
CDP-based
second-generation
artificial
intelligence
system
improving
health
outcomes.
Language: Английский
The Relationship Between Biological Noise and Its Application: Understanding System Failures and Suggesting a Method to Enhance Functionality Based on the Constrained Disorder Principle
Biology,
Journal Year:
2025,
Volume and Issue:
14(4), P. 349 - 349
Published: March 27, 2025
The
Constrained
Disorder
Principle
(CDP)
offers
a
new
framework
for
understanding
how
biological
systems
use
and
manage
noise
to
maintain
optimal
functionality.
This
review
explores
the
relationship
between
at
various
scales,
including
genetic,
cellular,
organ
levels,
its
implications
system
malfunctions.
According
CDP,
all
require
an
range
of
function
appropriately,
disease
states
can
arise
when
these
levels
are
disrupted.
presents
evidence
supporting
this
principle
across
different
contexts,
such
as
genetic
variability,
cellular
behavior,
brain
functions,
human
aging,
evolution,
drug
administration.
For
accurate
clinical
assessments,
it
is
essential
distinguish
technical
variability
intrinsic
variability.
When
adequately
constrained,
serves
fundamental
mechanism
adaptation
functioning
rather
than
simply
source
disruption.
These
findings
have
important
developing
more
effective
therapeutic
strategies
systems’
dynamics.
CDP-based
second-generation
artificial
intelligence
help
regulate
address
improved
outcomes
in
conditions
by
incorporating
controlled
randomness.
Understanding
patterns
has
significant
diagnosis,
treatment
monitoring,
development
medical
conditions.
Language: Английский
The constrained disorder principle and the law of increasing functional information: The elephant versus the Moeritherium
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100040 - 100040
Published: April 1, 2025
Language: Английский
Current perspectives on malnutrition and immunomodulators bridging nutritional deficiencies and immune health
Ashish Majumdar,
No information about this author
Surendra Saraf,
No information about this author
Chandrashekhar Sahu
No information about this author
et al.
Future Journal of Pharmaceutical Sciences,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: April 24, 2025
Abstract
Background
Malnutrition
is
still
one
of
the
most
serious
and
prevalent
worldwide
health
problems,
especially
found
in
low-
middle-income
countries,
which
impairs
immune
functions
increases
susceptibility
to
infection.
This
study
investigates
complex
association
between
malnutrition
dysfunction,
role
immunomodulators
restoring
function.
analyzes
different
types
malnutrition,
including
protein-energy
micronutrient
deficiencies,
their
consequences
system
through
inhibited
cytokine
cell
production.
Main
body
Immunomodulators,
include
natural
agents
such
as
phytochemicals
probiotics,
well
synthetic
agents,
may
help
reduce
dysfunction
related
starvation.
article
categorizes
these
discusses
mechanisms
action,
regulating
inflammatory
pathways,
increasing
generation
cells,
augmenting
global
response.
In
addition,
therapeutic
approaches
utilizing
immunomodulation
conjunction
with
nutritional
therapies,
supplementation
(vitamins
A,
C,
D
zinc)
or
immunomodulators,
improve
gastroenterological
disease
states
are
discussed.
Case
reports
recent
studies
provided
that
provide
evidence
supporting
effectiveness
therapy
clinical
outcomes
vulnerable
populations.
Conclusion
While
there
a
promise
for
safety,
long-term
efficacy,
ethical
issues
address
before
they
could
widely
be
employed.
Each
step
research
calls
applied,
working
example
immunomodulatory
medicine
tailored
programs
internationally.
The
highlights
vital
treatment
encourages
holistic
immunological
worldwide.
Language: Английский
The Co-Piloting Model for Using Artificial Intelligence Systems in Medicine: Implementing the Constrained-Disorder-Principle-Based Second-Generation System
Bioengineering,
Journal Year:
2024,
Volume and Issue:
11(11), P. 1111 - 1111
Published: Nov. 3, 2024
The
development
of
artificial
intelligence
(AI)
and
machine
learning
(ML)-based
systems
in
medicine
is
growing,
these
are
being
used
for
disease
diagnosis,
drug
development,
treatment
personalization.
Some
designed
to
perform
activities
that
demand
human
cognitive
function.
However,
use
routine
care
by
patients
caregivers
lags
behind
expectations.
This
paper
reviews
several
challenges
healthcare
face
the
obstacles
integrating
digital
into
care.
focuses
on
with
physicians.
It
describes
second-generation
AI
move
closer
biology
reduce
complexity,
augmenting
but
not
replacing
physicians
improve
patient
outcomes.
constrained
disorder
principle
(CDP)
defines
complex
biological
their
degree
regulated
variability.
CDP-based
platform,
which
basis
Digital
Pill
humanizing
moving
via
using
inherent
variability
improving
system
augments
physicians,
assisting
them
decision-making
patients'
responses
adherence
providers.
restores
efficacy
chronic
drugs
improves
while
generating
data-driven
therapeutic
regimens.
While
can
substitute
many
medical
activities,
it
unlikely
replace
Human
doctors
will
continue
serving
capabilities
augmented
AI.
described
co-piloting
model
better
reflects
pathways
provides
assistance
Language: Английский