Bioengineering,
Год журнала:
2024,
Номер
11(11), С. 1111 - 1111
Опубликована: Ноя. 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
Journal of Medicine Surgery and Public Health,
Год журнала:
2024,
Номер
2, С. 100081 - 100081
Опубликована: Март 2, 2024
Antimicrobial
resistance
(AMR)
is
a
critical
global
health
issue
driven
by
antibiotic
misuse
and
overuse
in
various
sectors,
leading
to
the
emergence
of
resistant
microorganisms.
The
history
AMR
dates
back
discovery
penicillin,
with
rise
multidrug-resistant
pathogens
posing
significant
challenges
healthcare
systems
worldwide.
antibiotics
human
animal
health,
as
well
agriculture,
contributes
spread
genes,
creating
"Silent
Pandemic"
that
could
surpass
other
causes
mortality
2050.
affects
both
humans
animals,
treating
infections.
Various
mechanisms,
such
enzymatic
modification
biofilm
formation,
enable
microbes
withstand
effects
antibiotics.
lack
effective
threatens
routine
medical
procedures
lead
millions
deaths
annually
if
left
unchecked.
economic
impact
substantial,
projected
losses
trillions
dollars
financial
burdens
on
agriculture.
Artificial
intelligence
being
explored
tool
combat
improving
diagnostics
treatment
strategies,
although
data
quality
algorithmic
biases
exist.
To
address
effectively,
One
Health
approach
considers
human,
animal,
environmental
factors
crucial.
This
includes
enhancing
surveillance
systems,
promoting
stewardship
programs,
investing
research
development
for
new
antimicrobial
options.
Public
awareness,
education,
international
collaboration
are
essential
combating
preserving
efficacy
future
generations.
Biomedicine & Pharmacotherapy,
Год журнала:
2023,
Номер
161, С. 114334 - 114334
Опубликована: Март 9, 2023
Diuretics
are
a
mainstay
therapy
for
congestive
heart
failure
(CHF);
however,
over
one-third
of
patients
develop
diuretic
resistance.
Second-generation
artificial
intelligence
(AI)
systems
introduce
variability
into
treatment
regimens
to
overcome
the
compensatory
mechanisms
underlying
loss
effectiveness
diuretics.
This
open-labeled,
proof-of-concept
clinical
trial
sought
investigate
ability
improve
resistance
by
implementing
algorithm-controlled
therapeutic
regimens.Ten
CHF
with
were
enrolled
in
an
open-labeled
where
Altus
Care™
app
managed
diuretics'
dosage
and
administration
times.
The
provides
personalized
regimen
creating
dosages
times
within
pre-defined
ranges.
Response
was
measured
Kansas
City
Cardiomyopathy
Questionnaire
(KCCQ)
score,
6-minute
walk
test
(SMW),
N-terminal
pro-brain
natriuretic
peptide
(NT-proBNP)
levels,
renal
function.The
second-generation,
AI-based,
alleviated
All
evaluable
demonstrated
improvement
ten
weeks
intervention.
A
dose
reduction
(based
on
three-week
average
before
last
three
intervention)
achieved
7/10
(70
%,
p
=
0.042).
KCCQ
score
improved
9/10
(90
0.002),
SMW
9/9
(100
0.006),
NT-proBNP
decreased
0.02),
serum
creatinine
6/10
(60
0.05).
intervention
associated
reduced
number
emergency
room
visits
CHF-associated
hospitalizations.The
results
support
that
randomization
guided
second-generation
AI
algorithm
improves
response
therapy.
Prospective
controlled
studies
needed
confirm
these
findings.
Current Pharmaceutical Biotechnology,
Год журнала:
2024,
Номер
25(16), С. 2078 - 2088
Опубликована: Янв. 29, 2024
Low
adherence
to
chronic
treatment
regimens
is
a
significant
barrier
improving
clinical
outcomes
in
patients
with
diseases.
result
of
multiple
factors.
Frontiers in Oncology,
Год журнала:
2024,
Номер
14
Опубликована: Июль 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.
Brain Sciences,
Год журнала:
2024,
Номер
14(3), С. 209 - 209
Опубликована: Фев. 23, 2024
There
is
still
controversy
surrounding
the
definition
and
mechanisms
of
consciousness.
The
constrained
disorder
principle
(CDP)
defines
complex
systems
by
their
dynamic
borders,
limiting
inherent
disorder.
In
line
with
CDP,
brain
exhibits
a
bounded
borders
essential
for
proper
function,
efficient
energy
use,
life
support
under
continuous
perturbations.
brain’s
variability
contributes
to
its
adaptability
flexibility.
Neuronal
signal
challenges
association
structures
consciousness
methods
assessing
present
paper
discusses
some
theories
about
consciousness,
emphasizing
failure
explain
variability.
This
describes
how
CDP
accounts
consciousness’s
variability,
complexity,
entropy,
uncertainty.
Using
newly
developed
second-generation
artificial
intelligence
systems,
we
describe
CDP-based
platforms
may
improve
disorders
(DoC)
accounting
platform
could
be
used
response
current
interventions
develop
new
therapeutic
regimens
patients
DoC
in
future
studies.
Journal of Clinical Medicine,
Год журнала:
2024,
Номер
13(11), С. 3325 - 3325
Опубликована: Июнь 5, 2024
Background/Objectives:
Gaucher
Disease
type
1
(GD1)
is
a
recessively
inherited
lysosomal
storage
disorder
caused
by
deficiency
in
the
enzyme
β-glucocerebrosidase.
Enzyme
replacement
therapy
(ERT)
has
become
standard
of
care
for
patients
with
GD.
However,
over
10%
experience
an
incomplete
response
or
partial
loss
to
ERT,
necessitating
exploration
alternative
approaches
enhance
treatment
outcomes.
The
present
feasibility
study
aimed
determine
using
second-generation
artificial
intelligence
(AI)
system
that
introduces
variability
into
dosing
regimens
ERT
improve
and
potentially
overcome
enzyme.
Methods:
This
was
open-label,
prospective,
single-center
proof-of-concept
study.
Five
GD1
who
received
were
enrolled.
used
Altus
Care™
cellular-phone-based
application,
which
incorporated
algorithm-based
approach
offer
random
within
pre-defined
range
set
physician.
app
enabled
personalized
therapeutic
variations
dosages
administration
times.
Results:
AI-based
regimen
associated
stable
responses
GD1.
SF-36
quality
life
scores
improved
one
patient,
sense
change
health
two;
platelet
levels
increased
two
patients,
hemoglobin
remained
stable.
demonstrated
high
engagement
rate
among
caregivers,
showing
compliance
regimen.
Conclusions:
highlights
potential
variability-based
effectiveness
GD
calls
further
longer
trials
validate
these
findings.
Clinics and Practice,
Год журнала:
2023,
Номер
13(4), С. 994 - 1014
Опубликована: Авг. 20, 2023
The
success
of
artificial
intelligence
depends
on
whether
it
can
penetrate
the
boundaries
evidence-based
medicine,
lack
policies,
and
resistance
medical
professionals
to
its
use.
failure
digital
health
meet
expectations
requires
rethinking
some
challenges
faced.
We
discuss
most
significant
faced
by
patients,
physicians,
payers,
pharmaceutical
companies,
systems
in
world.
goal
healthcare
is
improve
outcomes.
Assisting
diagnosing,
collecting
data,
simplifying
processes
a
"nice
have"
tool,
but
not
essential.
Many
these
have
yet
be
shown
Current
outcome-based
economic
constraints
make
have,"
"assists,"
"ease
processes"
insufficient.
Complex
biological
are
defined
their
inherent
disorder,
bounded
dynamic
boundaries,
as
described
constrained
disorder
principle
(CDP).
It
provides
platform
for
correcting
systems'
malfunctions
regulating
degree
variability.
A
CDP-based
second-generation
system
solutions
faces.
Therapeutic
interventions
held
outcomes
with
systems.
In
addition
improving
clinically
meaningful
endpoints,
algorithms
ensure
patient
physician
engagement
reduce
system's
costs.
Biomimetics,
Год журнала:
2023,
Номер
8(4), С. 359 - 359
Опубликована: Авг. 11, 2023
Digital
twins
are
computer
programs
that
use
real-world
data
to
create
simulations
predict
the
performance
of
processes,
products,
and
systems.
may
integrate
artificial
intelligence
improve
their
outputs.
Models
for
dealing
with
uncertainties
noise
used
accuracy
digital
twins.
Most
currently
systems
aim
reduce
Nevertheless,
biological
characterized
by
inherent
variability,
which
is
necessary
proper
function.
The
constrained-disorder
principle
defines
living
as
having
a
disorder
part
existence
operation
while
kept
within
dynamic
boundaries.
In
present
paper,
we
review
role
in
complex
its
bioengineering.
We
describe
medical
applications
current
methods
modeling.
paper
presents
effectiveness
twin
continuously
implementing
variability
signatures
simultaneously
reducing
unwanted
inputs
Accounting
noisy
internal
external
environments
future
design
improved,
more
accurate
Integrative Psychological and Behavioral Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 20, 2024
Abstract
The
concept
of
free
will
has
challenged
physicists,
biologists,
philosophers,
and
other
professionals
for
decades.
constrained
disorder
principle
(CDP)
is
a
fundamental
law
that
defines
systems
according
to
their
inherent
variability.
It
provides
mechanisms
adapting
dynamic
environments.
This
work
examines
the
CDP's
perspective
concerning
various
theories.
Per
CDP,
lack
intentions,
"freedom"
select
act
built
into
design.
embedded
within
response
range
determined
by
boundaries
systems'
built-in
self-generating
mechanism
enables
cope
with
perturbations.
According
neither
dualism
nor
an
unknown
metaphysical
apparatus
dictates
choices.
Brain
variability
facilitates
cognitive
adaptation
complex,
unpredictable
situations
across
Human
behaviors
decisions
reflect
underlying
physical
in
brain
organs
dealing
noises.
Choices
are
not
predetermined
but
ongoing
processes
prssu½res.
Malfunctions
disease
states
characterized
inappropriate
variability,
reflecting
inability
respond
adequately
Incorporating
CDP-based
interventions
can
overcome
malfunctions
improve
decision
processes.
second-generation
artificial
intelligence
platforms
being
evaluated
augment
personal
development,
wellness,
health.
