AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability
Frontiers in Toxicology,
Год журнала:
2024,
Номер
6
Опубликована: Ноя. 26, 2024
Chemical
risk
assessment
plays
a
pivotal
role
in
safeguarding
public
health
and
environmental
safety
by
evaluating
the
potential
hazards
risks
associated
with
chemical
exposures.
In
recent
years,
convergence
of
artificial
intelligence
(AI),
machine
learning
(ML),
omics
technologies
has
revolutionized
field
assessment,
offering
new
insights
into
toxicity
mechanisms,
predictive
modeling,
management
strategies.
This
perspective
review
explores
synergistic
AI/ML
deciphering
clastogen-induced
genomic
instability
for
carcinogenic
prediction.
We
provide
an
overview
key
findings,
challenges,
opportunities
integrating
highlighting
successful
applications
case
studies
across
diverse
sectors.
From
predicting
genotoxicity
mutagenicity
to
elucidating
molecular
pathways
underlying
carcinogenesis,
integrative
approaches
offer
comprehensive
framework
understanding
exposures
mitigating
risks.
Future
perspectives
advancing
cancer
prevention
through
data
integration,
advanced
techniques,
translational
research,
policy
implementation
are
discussed.
By
implementing
capabilities
technologies,
researchers
policymakers
can
enhance
protection,
inform
regulatory
decisions,
promote
sustainable
development
healthier
future.
Язык: Английский
Voices of Nanomedicine: Blueprint Guidelines for Collaboration in Addressing Global Unmet Medical Needs
ACS Nano,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 10, 2025
The
"Voices"
under
this
Perspective
underline
the
importance
of
interdisciplinary
collaboration
and
partnerships
across
several
disciplines,
such
as
medical
science
technology,
medicine,
bioengineering,
computational
approaches,
in
bridging
gap
between
research,
manufacturing,
clinical
applications.
Effective
communication
is
key
to
team
gaps,
enhancing
trust,
resolving
conflicts,
thereby
fostering
teamwork
individual
growth
toward
shared
goals.
Drawing
from
success
COVID-19
vaccine
development,
we
advocate
application
similar
collaborative
models
other
complex
health
areas
nanomedicine
biomedical
engineering.
role
digital
technology
big
data
healthcare
innovation
highlighted
along
with
necessity
for
specialized
education
practices.
This
approach
decisive
advancing
solutions,
leading
improved
treatment
patient
outcomes.
Язык: Английский
Artificial intelligence for diagnosis and predictive biomarkers in Non-Small cell lung cancer Patients: New promises but also new hurdles for the pathologist
Lung Cancer,
Год журнала:
2025,
Номер
200, С. 108110 - 108110
Опубликована: Янв. 27, 2025
Язык: Английский
Challenges for Ethics Review Committees in Regulating Medical Artificial Intelligence Research
Indian Journal of Surgical Oncology,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 17, 2025
Язык: Английский
Trustworthy AI Guidelines in Biomedical Decision-Making Applications: A Scoping Review
Big Data and Cognitive Computing,
Год журнала:
2024,
Номер
8(7), С. 73 - 73
Опубликована: Июль 1, 2024
Recently
proposed
legal
frameworks
for
Artificial
Intelligence
(AI)
depart
from
some
of
concepts
regarding
ethical
and
trustworthy
AI
that
provide
the
technical
grounding
safety
risk.
This
is
especially
important
in
high-risk
applications,
such
as
those
involved
decision-making
support
systems
biomedical
domain.
Frameworks
span
diverse
requirements,
including
human
agency
oversight,
robustness
safety,
privacy
data
governance,
transparency,
fairness,
societal
environmental
impact.
Researchers
practitioners
who
aim
to
transition
experimental
models
software
market
medical
devices
or
use
them
actual
practice
face
challenge
deploying
processes,
best
practices,
controls
are
conducive
complying
with
requirements.
While
checklists
general
guidelines
have
been
aim,
a
gap
exists
between
practices.
paper
reports
first
scoping
review
on
topic
specific
domain
attempts
consolidate
existing
practices
they
appear
academic
literature
subject.
Язык: Английский