Revolutionizing Prostate Cancer Therapy: Artificial intelligence – based Nanocarriers for Precision Diagnosis and Treatment
Moein Shirzad,
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Afsaneh Salahvarzi,
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Sobia Razzaq
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et al.
Critical Reviews in Oncology/Hematology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104653 - 104653
Published: Feb. 1, 2025
Language: Английский
Predicting intermediate-risk prostate cancer using machine learning
International Urology and Nephrology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 3, 2025
Language: Английский
Analysis of incidental prostate acinar adenocarcinoma: a single-center retrospective study
The European Research Journal,
Journal Year:
2025,
Volume and Issue:
11(2), P. 319 - 327
Published: Jan. 9, 2025
Objective:
Our
study
was
conducted
in
a
single
center
to
evaluate
the
characteristics
of
prostate
acinar
adenocarcinoma.
Methods:
A
retrospective
archive
search
between
January
1,
2018
and
September
2024,
900
transurethral
resection
(TUR)
127
open
prostatectomy
materials
were
examined.
total
43
TUR
9
found
have
prostatic
Results:
The
ages
patients
51-90.
Gleason
scores
ranged
from
3+3:6
5+5:10.
In
immunohistochemical
analyses,
Alpha
methylacyl
CoA
racemase
(AMACR)
positivity
p63
negativity
prominent
as
characteristic
findings.
Lymphovascular
invasion
rarely
observed,
while
perineural
detected
more
frequently.
Conclusions:
importance
histopathological
features
determining
diagnostic
prognostic
factors
adenocarcinoma
investigated
our
study.
This
may
contribute
literature
on
cancer
treatment
strategies
provide
contributions
for
future
research.
Language: Английский
Digital Pathology Allows for Global Second Opinions for Urologic Malignancies
Current Urology Reports,
Journal Year:
2025,
Volume and Issue:
26(1)
Published: Feb. 8, 2025
Digital
pathology,
the
use
of
digital
images
for
histopathologic
diagnosis,
is
transforming
practice
pathology.
This
review
discusses
ability
pathology
to
assist
with
second
opinions
challenging
cases
in
genitourinary
worldwide.
While
traditional
limited
by
physical
hardware
such
as
microscopes
and
glass
slides,
creates
opportunities
rapid
sharing
diagnostic
materials
colleagues
experts
technology
can
greatly
facilitate
from
low-resource
areas
where
services
or
subspecialty
expertise
are
not
available.
As
incidence
kidney,
prostate,
testicular
cancer
continues
increase
both
high-income
developing
countries,
may
be
solution
expert
diagnosing
urologic
disease
Language: Английский
Progressive role of artificial intelligence in treatment decision-making in the field of medical oncology
Frontiers in Medicine,
Journal Year:
2025,
Volume and Issue:
12
Published: Feb. 13, 2025
This
article
explores
the
role
of
artificial
intelligence
(AI)
in
medical
oncology,
emphasizing
its
impact
on
treatment
decision-making
for
adult
and
pediatric
cancer
care.
AI
applications,
including
advanced
imaging,
drug
discovery,
clinical
decision
support
systems,
enhance
precision,
personalization,
efficiency.
Pediatric
oncology
benefits
from
improved
diagnostics,
risk
stratification,
targeted
therapies,
despite
unique
challenges.
AI-driven
personalized
medicine
optimizes
strategies,
improving
patient
outcomes
reducing
costs.
Ethical
considerations,
such
as
data
privacy,
algorithmic
bias,
explainability,
remain
critical
responsible
integration.
Future
advancements,
explainable
quantum
computing,
promise
to
redefine
care
through
data-driven
insights.
Language: Английский