Improving the response to lenvatinib in partial responders using a Constrained-Disorder-Principle-based second-generation artificial intelligence-therapeutic regimen: a proof-of-concept open-labeled clinical trial
Tal Sigawi,
No information about this author
Ram Gelman,
No information about this author
Ofra Maimon
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et al.
Frontiers in Oncology,
Journal Year:
2024,
Volume and Issue:
14
Published: July 30, 2024
Introduction
The
main
obstacle
in
treating
cancer
patients
is
drug
resistance.
Lenvatinib
treatment
poses
challenges
due
to
loss
of
response
and
the
common
dose-limiting
adverse
events
(AEs).
Constrained-disorder-principle
(CDP)-based
second-generation
artificial
intelligence
(AI)
systems
introduce
variability
into
regimens
offer
a
potential
strategy
for
enhancing
efficacy.
This
proof-of-concept
clinical
trial
aimed
assess
impact
personalized
algorithm-controlled
therapeutic
regimen
on
lenvatinib
effectiveness
tolerability.
Methods
A
14-week
open-label,
non-randomized
was
conducted
with
five
receiving
lenvatinib—an
AI-assisted
application
tailored
each
patient,
which
physician
approved.
study
assessed
changes
tumor
through
FDG-PET-CT
markers
quality
life
via
EORTC
QLQ-THY34
questionnaire,
AEs,
laboratory
evaluations.
app
monitored
adherence.
Results
At
14
weeks
follow-up,
disease
control
rate
(including
following
outcomes:
complete
response,
partial
stable
disease)
80%.
scan-based
RECIST
v1.1
PERCIST
criteria
showed
40%
an
additional
patients.
One
patient
experienced
progressing
disease.
Of
participants
thyroid
cancer,
75%
reduction
thyroglobulin
levels,
60%
all
decrease
neutrophil-to-lymphocyte
ratio
during
treatment.
Improvement
median
social
support
score
among
utilizing
system
supports
ancillary
benefit
intervention.
No
grade
4
AEs
or
functional
deteriorations
were
recorded.
Summary
results
this
open-labeled
suggest
that
CDP-based
AI
system-generated
recommendations
may
improve
manageable
AEs.
Prospective
controlled
studies
are
needed
determine
efficacy
approach.
Language: Английский
Inter-organ correlations in inflammation regulation: a novel biological paradigm in a murine model
Yehudit Shabat,
No information about this author
Devorah Rotnemer-Golinkin,
No information about this author
Lidya Zolotarov
No information about this author
et al.
Journal of Medicine and Life,
Journal Year:
2025,
Volume and Issue:
18(1), P. 67 - 72
Published: Jan. 1, 2025
Interactions
between
immune
system
constituents
are
mediated
through
direct
contact
or
the
transfer
of
mediators.
The
study
aimed
to
assess
correlation
components
and
out-of-body
signals
in
a
model
liver
inflammation.
In
first
experiment,
mice
injected
with
Concanavalin
A
(ConA)
were
housed
cage
tube
on
top
containing
healthy
livers
harvested
from
ConA.
second
that
contained
splenocytes
naïve
donors
treated
vitro
dexamethasone.
Mice
tested
for
serum
aspartate
aminotransferase
(AST)
alanine
(ALT)
levels.
External
whole
spleens
influenced
immune-mediated
inflammatory
response
mice.
When
ConA-injected
cages
tubes
mice,
ALT
levels
significantly
reduced.
elevated
when
kept
part
ConA
had
increased
Similarly,
dexamethasone-treated
also
showed
data
suggest
correlations
can
be
established
using
without
Language: Английский
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
Using the Constrained Disorder Principle to Navigate Uncertainties in Biology and Medicine: Refining Fuzzy Algorithms
Biology,
Journal Year:
2024,
Volume and Issue:
13(10), P. 830 - 830
Published: Oct. 16, 2024
Uncertainty
in
biology
refers
to
situations
which
information
is
imperfect
or
unknown.
Variability,
on
the
other
hand,
measured
by
frequency
distribution
of
observed
data.
Biological
variability
adds
uncertainty.
The
Constrained
Disorder
Principle
(CDP)
defines
all
systems
universe
their
inherent
variability.
According
CDP,
exhibit
a
degree
necessary
for
proper
function,
allowing
them
adapt
changes
environments.
Per
while
differs
from
uncertainty,
it
can
be
viewed
as
regulated
mechanism
efficient
functionality
rather
than
This
paper
explores
various
aspects
un-certainties
biology.
It
focuses
using
CDP-based
platforms
refining
fuzzy
algorithms
address
some
challenges
associated
with
biological
and
medical
uncertainties.
Developing
decision
tree
that
considers
natural
help
minimize
method
reveal
previously
unidentified
classes,
reduce
number
unknowns,
improve
accuracy
modeling
results,
generate
algorithm
outputs
are
more
biologically
clinically
relevant.
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