Current Opinion in Organ Transplantation,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 28, 2024
Purpose
of
review
Despite
technical
and
therapeutic
advances,
only
20–40%
patients
with
colorectal
liver
metastases
(CRLM)
have
resectable
disease.
Historically,
the
remaining
unresectable,
liver-only
CRLM
would
receive
palliative
chemotherapy,
a
median
survival
8
months.
Recent
findings
Liver
transplantation
has
emerged
as
viable
option
for
selected
CRLM.
This
advancement
stems
from
improved
understanding
tumour
genomics
biology
better
patient
selection
criteria.
The
results
recent
prospective
clinical
trials
further
ignited
enthusiasm
option.
Living
donor
(LDLT)
offers
several
advantages
over
deceased
(DDLT)
this
disease,
including
reduced
wait-time
optimized
timing
coordination
oncologic
therapy.
On-going
LDLT
demonstrated
favourable
outcomes
compared
other
indications.
However,
there
is
no
established
consensus
or
standardization
in
implementation
CRLM,
beyond
centre-specific
protocols.
Summary
an
excellent
highly
Refining
prognostic
factors
criteria
will
help
to
optimize
utility
broaden
acceptance
Life,
Journal Year:
2022,
Volume and Issue:
12(12), P. 1991 - 1991
Published: Nov. 28, 2022
The
World
Health
Organization
(WHO),
in
their
2022
report,
identified
cancer
as
one
of
the
leading
causes
death,
accounting
for
about
16%
deaths
worldwide.
Cancer-Moonshot
community
aims
to
reduce
death
rate
by
half
next
25
years
and
wants
improve
lives
cancer-affected
people.
Cancer
mortality
can
be
reduced
if
detected
early
treated
appropriately.
Cancers
like
breast
cervical
have
high
cure
probabilities
when
accordance
with
best
practices.
Integration
artificial
intelligence
(AI)
into
research
is
currently
addressing
many
challenges
where
medical
experts
fail
bring
control
cure,
outcomes
are
quite
encouraging.
AI
offers
tools
platforms
facilitate
more
understanding
tackling
this
life-threatening
disease.
AI-based
systems
help
pathologists
diagnosing
accurately
consistently,
reducing
case
error
rates.
Predictive-AI
models
estimate
likelihood
a
person
get
identifying
risk
factors.
Big
data,
together
AI,
enable
develop
customized
treatments
patients.
side
effects
from
kind
therapy
will
less
severe
comparison
generalized
therapies.
However,
these
remain
ineffective
fighting
against
saving
millions
patients
unless
they
accessible
understandable
biologists,
oncologists,
other
researchers.
This
paper
presents
trends,
challenges,
future
directions
research.
We
hope
that
both
technical
getting
better
opportunities
diagnosis
treatment.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 9, 2024
This
comprehensive
literature
review
explores
the
transformative
impact
of
artificial
intelligence
(AI)
predictive
analytics
on
healthcare,
particularly
in
improving
patient
outcomes
regarding
disease
progression,
treatment
response,
and
recovery
rates.
AI,
encompassing
capabilities
such
as
learning,
problem-solving,
decision-making,
is
leveraged
to
predict
optimize
plans,
enhance
rates
through
analysis
vast
datasets,
including
electronic
health
records
(EHRs),
imaging,
genetic
data.
The
utilization
machine
learning
(ML)
deep
(DL)
techniques
enables
personalized
medicine
by
facilitating
early
detection
conditions,
precision
drug
discovery,
tailoring
individual
profiles.
Ethical
considerations,
data
privacy,
bias,
accountability,
emerge
vital
responsible
implementation
AI
healthcare.
findings
underscore
potential
revolutionizing
clinical
decision-making
healthcare
delivery,
emphasizing
necessity
ethical
guidelines
continuous
model
validation
ensure
its
safe
effective
use
augmenting
human
judgment
medical
practice.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(6), P. 3403 - 3403
Published: March 17, 2024
The
potential
of
liquid
biopsy
for
the
prognosis
and
diagnosis
diseases
is
unquestionable.
Within
evolving
landscape
disease
diagnostics
personalized
medicine,
circulating
microRNAs
(c-miRNAs)
stand
out
among
biomarkers
found
in
blood
circulation
other
biological
fluids
due
to
their
stability,
specificity,
non-invasive
detection
biofluids.
However,
complexity
human
limitations
inherent
single-marker
highlight
need
a
more
integrative
approach.
It
has
been
recently
suggested
that
multi-analyte
approach
offers
advantages
over
single-analyte
diseases.
In
this
review,
we
explore
combining
three
well-studied
classes
biofluids—miRNAs,
DNAs,
proteins—to
enhance
accuracy
efficacy
monitoring.
Initially,
provide
an
overview
each
biomarker
class
discuss
main
disadvantages
highlighting
superiority
c-miRNAs
biomarkers.
Additionally,
challenges
future
directions
integrating
these
into
clinical
practice,
emphasizing
standardized
protocols
further
validation
studies.
This
integrated
revolutionize
precision
medicine
by
offering
insights
mechanisms,
facilitating
early
detection,
guiding
therapeutic
strategies.
collaborative
power
with
represents
promising
frontier
comprehensive
understanding
management
complex
Nevertheless,
several
must
be
addressed
before
can
translated
practice.
Oral Diseases,
Journal Year:
2023,
Volume and Issue:
30(1), P. 23 - 37
Published: June 19, 2023
Abstract
Salivary
biomarkers
can
improve
the
efficacy,
efficiency,
and
timeliness
of
oral
maxillofacial
disease
diagnosis
monitoring.
Oral
conditions
in
which
salivary
have
been
utilized
for
disease‐related
outcomes
include
periodontal
diseases,
dental
caries,
cancer,
temporomandibular
joint
dysfunction,
gland
diseases.
However,
given
equivocal
accuracy
during
validation,
incorporating
contemporary
analytical
techniques
biomarker
selection
operationalization
from
abundant
multi‐omics
data
available
may
help
performance.
Artificial
intelligence
represents
one
such
advanced
approach
that
optimize
potential
to
diagnose
manage
Therefore,
this
review
summarized
role
current
application
based
on
artificial
discovery
validation
Cancers,
Journal Year:
2024,
Volume and Issue:
16(9), P. 1686 - 1686
Published: April 26, 2024
(1)
Background:
Digital
pathology
(DP)
is
transforming
the
landscape
of
clinical
practice,
offering
a
revolutionary
approach
to
traditional
analysis
and
diagnosis.
(2)
Methods:
This
innovative
technology
involves
digitization
glass
slides
which
enables
pathologists
access,
analyze,
share
high-resolution
whole-slide
images
(WSI)
tissue
specimens
in
digital
format.
By
integrating
cutting-edge
imaging
with
advanced
software,
DP
promises
enhance
practice
numerous
ways.
not
only
improves
quality
assurance
standardization
but
also
allows
remote
collaboration
among
experts
for
more
accurate
Artificial
intelligence
(AI)
significantly
cancer
diagnosis,
classification,
prognosis
by
automating
various
tasks.
It
enhances
spatial
tumor
microenvironment
(TME)
discovery
new
biomarkers,
advancing
their
translation
therapeutic
applications.
(3)
Results:
The
AI-driven
immune
assays,
Immunoscore
(IS)
Immunoscore-Immune
Checkpoint
(IS-IC),
have
emerged
as
powerful
tools
improving
prognosis,
treatment
selection
assessing
contexture
patients.
IS
quantitative
assessment
performed
on
hematoxylin-eosin
(H&E)
CD3+/CD8+
stained
from
colon
patients
has
proven
be
reproducible,
concordant,
reliable
than
expert
pathologists'
evaluation
response.
Outperforming
staging
systems,
demonstrated
robust
potential
efficiency
ultimately
patient
care.
Certainly,
addressing
challenges
encountered
essential
ensure
its
successful
integration
into
guidelines
implementation
use.
(4)
Conclusion:
ongoing
progress
holds
revolutionize
practices,
emphasizing
need
incorporate
AI
technologies,
including
IS,
settings
personalized
therapy.
Frontiers in Oncology,
Journal Year:
2023,
Volume and Issue:
13
Published: Jan. 25, 2023
Artificial
Intelligence
(AI)
is
a
branch
of
computer
science
that
utilizes
optimization,
probabilistic
and
statistical
approaches
to
analyze
make
predictions
based
on
vast
amount
data.
In
recent
years,
AI
has
revolutionized
the
field
oncology
spearheaded
novel
in
management
various
cancers,
including
colorectal
cancer
(CRC).
Notably,
applications
diagnose,
prognosticate,
predict
response
therapy
CRC,
gaining
traction
proving
be
promising.
There
have
also
been
several
advancements
technologies
help
metastases
CRC
Computer-Aided
Detection
(CAD)
Systems
improve
miss
rates
for
neoplasia.
This
article
provides
comprehensive
review
role
predicting
risk,
prognosis,
therapies
among
patients
with
CRC.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(16), P. 8703 - 8703
Published: Aug. 9, 2024
Liquid
biopsy
has
emerged
as
a
promising
noninvasive
approach
for
colorectal
cancer
(CRC)
management.
This
review
focuses
on
technologies
detecting
circulating
nucleic
acids,
specifically
tumor
DNA
(ctDNA)
and
RNA
(cfRNA),
CRC
biomarkers.
Recent
advancements
in
molecular
have
enabled
sensitive
specific
detection
of
tumor-derived
genetic
material
bodily
fluids.
These
include
quantitative
real-time
PCR,
digital
next-generation
sequencing
(NGS),
emerging
nanotechnology-based
methods.
For
ctDNA
analysis,
techniques
such
BEAMing
droplet
PCR
offer
high
sensitivity
rare
mutant
alleles,
while
NGS
approaches
provide
comprehensive
genomic
profiling.
cfRNA
primarily
utilizes
qRT-PCR
arrays,
microarray
platforms,
profiling
microRNAs
discovering
novel
show
potential
early
detection,
treatment
response
monitoring,
minimal
residual
disease
assessment,
evolution
tracking.
However,
challenges
remain
standardizing
procedures,
optimizing
limits,
establishing
clinical
utility
across
stages.
summarizes
current
acid
technologies,
their
applications,
discusses
future
directions
implementation.
AI in Precision Oncology,
Journal Year:
2024,
Volume and Issue:
1(2), P. 91 - 105
Published: April 1, 2024
Introduction:
Early
cancer
detection
can
lead
to
improved
outcomes
and
a
shift
toward
prevention
model.
This
review
explores
the
role
of
artificial
intelligence
(AI)
in
early
detection,
focusing
on
its
application
various
clinical
settings.
