The clinical application of artificial intelligence in cancer precision treatment
Journal of Translational Medicine,
Год журнала:
2025,
Номер
23(1)
Опубликована: Янв. 27, 2025
Язык: Английский
Vaccines for cancer interception in familial adenomatous polyposis
Frontiers in Immunology,
Год журнала:
2025,
Номер
16
Опубликована: Янв. 29, 2025
Familial
adenomatous
polyposis
(FAP)
is
an
inherited
autosomal
dominant
disorder
caused
by
germline
mutations
in
the
coli
(APC)
gene.
FAP
associated
with
development
of
hundreds
adenomas
small
and
large
intestines
individuals
starting
teenage
years
a
near
100%
risk
developing
colorectal
cancer
adulthood.
Eventually
polyps
develop
throughout
gastrointestinal
tract.
Chemoprevention
approaches
have
been
somewhat
successful
reducing
polyp
burden,
but
not
reduced
or
other
cancers.
The
lack
efficacy
more
standard
drug
may
be
due
to
limited
exposure
agent
only
specific
periods
while
being
metabolized,
penetrance
colon,
patient
adherence
daily
dosing
side
effects.
success
immune
therapy
for
treatment
invasive
has
led
research
focused
on
use
based
control
FAP,
specifically
directed
vaccines.
Vaccines
targeting
antigens
expressed
lesions
superior
method
burden
prevent
disease
progression
as
compared
classic
chemoprevention
drugs.
A
number
vaccines
can
administered
over
short
period
time
generate
lasting
response.
Appropriately
primed
antigen
T-cells
traffic
any
site
body
where
expressed,
recognize,
eliminate
expressing
cell.
Immunologic
memory
will
allow
response
persist
specificity
limit
toxicity
targeted
polyp.
This
review
examine
current
state
against
highlight
challenges
opportunities
translating
interception
clinic.
Язык: Английский
Prostate Cancer Vaccines: Progress, Challenges, and Future Directions
Heca Journal of Applied Sciences,
Год журнала:
2025,
Номер
3(1), С. 30 - 55
Опубликована: Март 19, 2025
Prostate
cancer
remains
a
major
contributor
to
cancer-related
deaths
in
men,
with
its
incidence
rising
significantly
age.
Conventional
treatment
modalities,
including
surgery,
radiation
therapy,
hormonal
and
chemotherapy,
often
face
limitations
such
as
resistance,
disease
recurrence,
considerable
side
effects.
These
challenges
have
sparked
growing
interest
novel
approaches
like
immunotherapy,
which
leverages
the
immune
system
combat
cancer.
Among
these,
vaccine-based
immunotherapy
has
emerged
promising
strategy,
aiming
generate
precise
responses
against
tumor-specific
antigens.
Advances
immunology,
molecular
targeting,
vaccine
development
demonstrated
encouraging
results
terms
of
safety
immunogenicity.
Nevertheless,
obstacles
tumor
heterogeneity,
escape
mechanisms,
limited
efficacy
advanced
stages
continue
hinder
progress.
The
aim
this
review
is
examine
current
landscape
prostate
development,
focus
on
advancements
target
identification,
optimization
technologies,
evaluation
combination
therapy
strategies.
Findings
from
clinical
trials
shed
light
both
opportunities
therapies.
Synergistic
involving
checkpoint
inhibitors,
radiotherapy,
androgen
deprivation
shown
potential
amplify
mitigate
resistance
mechanisms.
Additionally,
emerging
technologies
bioinformatics
artificial
intelligence
are
revolutionizing
by
enabling
discovery
patient-specific
neoantigens
creation
tailored
formulations.
Despite
these
breakthroughs,
achieving
consistent
therapeutic
outcomes
challenging,
particularly
metastatic
castration-resistant
cases.
Future
directions
field
include
developing
personalized
vaccines,
adopting
adaptive
trial
designs,
employing
innovative
endpoints
streamline
translation
into
practice.
In
summary,
while
significantly,
addressing
critical
barriers
heterogeneity
evasion
embracing
essential
for
optimizing
vaccines
improving
outcomes.
Язык: Английский
Advances in Personalized Cancer Vaccine Development: AI Applications from Neoantigen Discovery to mRNA Formulation
BioChem,
Год журнала:
2025,
Номер
5(2), С. 5 - 5
Опубликована: Март 31, 2025
Personalized
cancer
vaccines
are
a
promising
immunotherapy
targeting
patient-specific
tumor
neoantigens,
yet
their
design
and
efficacy
remain
challenging.
Recent
advances
in
artificial
intelligence
(AI)
provide
powerful
tools
to
enhance
multiple
stages
of
vaccine
development.
This
review
systematically
evaluates
AI
applications
personalized
research
over
the
past
five
years,
focusing
on
four
key
areas:
neoantigen
discovery,
codon
optimization,
untranslated
region
(UTR)
sequence
generation,
mRNA
design.
We
examine
model
architectures
(e.g.,
neural
networks),
datasets
(from
omics
high-throughput
assays),
outcomes
improving
In
machine
learning
deep
models
integrate
peptide–MHC
binding,
antigen
processing,
T
cell
receptor
recognition
immunogenic
identification.
For
for
UTR
improve
protein
expression
stability
beyond
traditional
methods.
AI-driven
strategies
also
optimize
constructs
formulations,
including
secondary
structures
nanoparticle
delivery
systems.
discuss
how
these
approaches
converge
streamline
effective
development,
while
addressing
challenges
such
as
data
scarcity,
heterogeneity,
interpretability.
By
leveraging
innovations,
future
may
see
unprecedented
improvements
both
efficiency
clinical
effectiveness.
Язык: Английский
Convergent Mechanisms in Virus-Induced Cancers: A Perspective on Classical Viruses, SARS-CoV-2, and AI-Driven Solutions
Infectious Disease Reports,
Год журнала:
2025,
Номер
17(2), С. 33 - 33
Опубликована: Апрель 16, 2025
This
perspective
examines
the
potential
oncogenic
mechanisms
of
SARS-CoV-2
through
comparative
analysis
with
established
cancer-causing
viruses,
integrating
classical
virological
approaches
artificial
intelligence
(AI)-driven
analysis.
The
paper
explores
four
key
themes:
shared
between
viruses
and
(including
cell
cycle
dysregulation,
inflammatory
signaling,
immune
evasion,
metabolic
reprogramming);
application
AI
in
understanding
viral
oncogenesis;
integration
neuroimaging
evidence;
future
research
directions.
author
presents
novel
hypotheses
regarding
SARS-CoV-2’s
mechanisms,
supported
by
recent
PET/FDG
imaging
studies
showing
persistent
alterations.
manuscript
emphasizes
transformative
combining
traditional
methods
advanced
technologies
for
better
preventing
virus-induced
cancers,
while
highlighting
importance
long-term
monitoring
COVID-19
survivors
developments.
Язык: Английский
AI in the development of vaccines for emerging and re-emerging diseases
Salud Ciencia y Tecnología,
Год журнала:
2025,
Номер
4
Опубликована: Янв. 15, 2025
Introduction:
The
integration
of
artificial
intelligence
(AI)
into
vaccine
development
has
revolutionized
traditional
methodologies,
significantly
enhancing
the
speed,
precision,
and
scalability
immunological
research.
Emerging
re-emerging
infectious
diseases,
driven
by
zoonotic
spillovers,
antimicrobial
resistance,
global
environmental
changes,
pose
substantial
challenges.
Addressing
these
requires
innovative
approaches,
with
AI
playing
a
pivotal
role
in
advancing
solutions.Development:
applications
vaccinology
include
antigen
detection,
adjuvant
optimization,
immune
response
simulation.
Deep
learning
algorithms
streamline
identification
immunogenic
targets
conserved
antigens,
enabling
for
highly
mutable
pathogens
such
as
SARS-CoV-2,
HIV,
influenza.
Case
studies
demonstrate
AI's
transformative
impact,
including
its
rapid
creation
mRNA
vaccines
COVID-19,
promising
antigens
malaria,
enhanced
efficacy
influenza
through
predictive
modeling.
However,
challenges
unequal
access
to
technology,
biases
data
models,
ethical
concerns
regarding
genomic
privacy
persist.
Recommendations
address
barriers
increasing
diversity,
strengthening
frameworks,
investing
infrastructure
democratize
AI-driven
innovations.Conclusions:
ability
reduce
time
cost,
improve
enable
personalized
immunization
strategies
positions
it
cornerstone
modern
vaccinology.
With
continued
advancements
equitable
implementation,
holds
potential
reshape
development,
pandemic
preparedness,
longstanding
public
health
disparities
globally.
Язык: Английский
Artificial intelligence in the diagnosis and management of gynecologic cancer
International Journal of Gynecology & Obstetrics,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 25, 2025
Язык: Английский
Impact of Immunosenescence on Vaccine Immune Responses and Countermeasures
Vaccines,
Год журнала:
2024,
Номер
12(11), С. 1289 - 1289
Опубликована: Ноя. 19, 2024
The
biological
progression
of
aging
encompasses
complex
physiological
processes.
As
individuals
grow
older,
their
functions
gradually
decline,
including
compromised
immune
responses,
leading
to
immunosenescence.
Immunosenescence
significantly
elevates
disease
susceptibility
and
severity
in
older
populations
while
concurrently
compromising
vaccine-induced
responses.
This
comprehensive
review
aims
elucidate
the
implications
immunosenescence
for
immunity
facilitate
development
optimized
vaccination
strategies
geriatric
populations,
with
specific
focus
on
COVID-19,
influenza,
pneumococcal,
herpes
zoster,
respiratory
syncytial
virus
(RSV)
vaccines.
further
elucidates
relationship
between
immunity.
presents
a
systematic
evaluation
intervention
designed
enhance
vaccine
responses
encompassing
adjuvant
utilization,
antigen
doses,
frequency
modification,
inflammatory
response
modulation,
lifestyle
interventions,
physical
activity
nutritional
modifications.
These
are
explored
potential
improve
current
efficacy
inform
next-generation
vaccines
populations.
Язык: Английский