Clinical and Translational Science,
Год журнала:
2025,
Номер
18(3)
Опубликована: Март 1, 2025
ABSTRACT
Approaches
to
artificial
intelligence
and
machine
learning
(AI/ML)
continue
advance
in
the
field
of
drug
development.
A
sound
understanding
underlying
concepts
guiding
principles
AI/ML
implementation
is
a
prerequisite
identifying
which
approach
most
appropriate
based
on
context.
This
tutorial
focuses
popular
eXtreme
gradient
boosting
(XGBoost)
algorithm
for
classification
regression
simple
clinical
trial‐like
datasets.
Emphasis
placed
relating
code
implementation.
In
doing
so,
aim
reader
gain
knowledge
about
become
better
versed
with
how
implement
functions
relevant
development
questions.
turn,
this
will
provide
practical
ML
experience
can
be
applied
algorithms
problems
beyond
scope
tutorial.
Journal of Medicine Surgery and Public Health,
Год журнала:
2024,
Номер
3, С. 100108 - 100108
Опубликована: Апрель 16, 2024
This
review
provides
a
comprehensive
examination
of
the
integration
Artificial
Intelligence
(AI)
into
healthcare,
focusing
on
its
transformative
implications
and
challenges.
Utilising
systematic
search
strategy
across
electronic
databases
such
as
PubMed,
Scopus,
Embase,
Sciencedirect,
relevant
peer-reviewed
articles
published
in
English
between
January
2010
till
date
were
identified.
Findings
reveal
AI's
significant
impact
healthcare
delivery,
including
role
enhancing
diagnostic
precision,
enabling
treatment
personalisation,
facilitating
predictive
analytics,
automating
tasks,
driving
robotics.
AI
algorithms
demonstrate
high
accuracy
analysing
medical
images
for
disease
diagnosis
enable
creation
tailored
plans
based
patient
data
analysis.
Predictive
analytics
identify
high-risk
patients
proactive
interventions,
while
AI-powered
tools
streamline
workflows,
improving
efficiency
experience.
Additionally,
AI-driven
robotics
automate
tasks
enhance
care
particularly
rehabilitation
surgery.
However,
challenges
quality,
interpretability,
bias,
regulatory
frameworks
must
be
addressed
responsible
implementation.
Recommendations
emphasise
need
robust
ethical
legal
frameworks,
human-AI
collaboration,
safety
validation,
education,
regulation
to
ensure
effective
healthcare.
valuable
insights
potential
advocating
implementation
efficacy.
Advanced Therapeutics,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 6, 2025
Abstract
The
extracellular
matrix
(ECM)
serves
not
only
as
a
structural
scaffold
but
also
an
active
regulator
of
cancer
progression,
profoundly
influencing
tumor
behaviour
and
the
microenvironment
(TME).
This
review
focuses
into
pivotal
role
ECM
alterations
in
facilitating
metastasis
explores
therapeutic
strategies
aimed
at
counteracting
these
changes.
We
analyse
targeted
interventions
against
collagen,
including
approaches
to
inhibit
its
biosynthesis
disrupt
associated
signalling
pathways
critical
for
architecture
cell
migration.
Additionally,
therapies
addressing
hyaluronan
are
reviewed,
highlighting
methods
suppress
synthesis
enzymatic
degrade
it,
thereby
mitigating
tumor‐promoting
effects.
discussion
extends
innovative
modulating
stiffness,
focusing
on
roles
cancer‐associated
fibroblasts
lysyl
oxidases,
which
key
contributors
remodelling
mechanical
signalling.
By
strategically
modifying
components,
aim
enhance
efficacy
existing
treatments,
tackle
resistance
mechanisms,
achieve
more
durable
outcomes.
Insights
from
recent
studies
clinical
trials
highlight
promise
overcoming
treatment
improving
patient
Advancing
our
understanding
biology
leads
development
effective
therapies.
Frontiers in Bioengineering and Biotechnology,
Год журнала:
2025,
Номер
13
Опубликована: Фев. 11, 2025
Three-dimensional
(3D)
printing
has
rapidly
become
a
transformative
force
in
orthopedic
surgery,
enabling
the
creation
of
highly
customized
and
precise
medical
implants
surgical
tools.
This
review
aims
to
provide
more
systematic
comprehensive
perspective
on
emerging
3D
technologies—ranging
from
extrusion-based
methods
bioink
powder
bed
fusion—and
broadening
array
materials,
including
bioactive
agents
cell-laden
inks.
We
highlight
how
these
technologies
materials
are
employed
fabricate
patient-specific
implants,
guides,
prosthetics,
advanced
tissue
engineering
scaffolds,
significantly
enhancing
outcomes
patient
recovery.
Despite
notable
progress,
field
faces
challenges
such
as
optimizing
mechanical
properties,
ensuring
structural
integrity,
addressing
regulatory
complexities
across
different
regions,
considering
environmental
impacts
cost
barriers,
especially
low-resource
settings.
Looking
ahead,
innovations
smart
functionally
graded
(FGMs),
along
with
advancements
bioprinting,
hold
promise
for
overcoming
obstacles
expanding
capabilities
orthopedics.
underscores
pivotal
role
interdisciplinary
collaboration
ongoing
research
harnessing
full
potential
additive
manufacturing,
ultimately
paving
way
effective,
personalized,
durable
solutions
that
improve
quality
life.
European Journal of Investigation in Health Psychology and Education,
Год журнала:
2025,
Номер
15(1), С. 6 - 6
Опубликована: Янв. 8, 2025
Artificial
intelligence
(AI)
has
transformed
healthcare,
yet
patients'
acceptance
of
AI-driven
medical
services
remains
constrained.
Despite
its
significant
potential,
patients
exhibit
reluctance
towards
this
technology.
A
notable
lack
comprehensive
research
exists
that
examines
the
variables
driving
resistance
to
AI.
This
study
explores
influencing
adopt
AI
technology
in
healthcare
by
applying
an
extended
Ram
and
Sheth
Model.
More
specifically,
roles
need
for
personal
contact
(NPC),
perceived
technological
dependence
(PTD),
general
skepticism
toward
(GSAI)
shaping
patient
integration.
For
reason,
a
sequential
mixed-method
approach
was
employed,
beginning
with
semi-structured
interviews
identify
adaptable
factors
healthcare.
It
then
followed
survey
validate
qualitative
findings
through
Structural
Equation
Modeling
(SEM)
via
AMOS
(version
24).
The
confirm
NPC,
PTD,
GSAI
significantly
contribute
Precisely,
who
prefer
interaction,
feel
dependent
on
AI,
or
are
skeptical
AI's
promises
more
likely
resist
adoption.
highlight
psychological
offering
valuable
insights
administrators.
Strategies
balance
efficiency
human
mitigate
dependence,
foster
trust
recommended
successful
implementation
adds
theoretical
understanding
Innovation
Resistance
Theory,
providing
both
conceptual
practical
implications
effective
incorporation
Ophthalmology Science,
Год журнала:
2024,
Номер
4(4), С. 100495 - 100495
Опубликована: Фев. 21, 2024
To
assess
the
capabilities
of
Chat
Generative
Pre-trained
Transformer
(ChatGPT)
and
Vertex
AI
in
executing
code-free
preprocessing,
training
machine
learning
(ML)
models,
analyzing
data.
