Defining treatment success in chronic lymphocytic leukemia: exploring surrogate markers, comorbidities, and patient-centered endpoints
Expert Review of Hematology,
Год журнала:
2024,
Номер
17(7), С. 279 - 285
Опубликована: Июнь 10, 2024
Traditionally,
the
success
of
chronic
lymphocytic
leukemia
(CLL)
treatment
has
been
primarily
assessed
based
on
clinical
outcomes,
such
as
disease
response,
progression-free
survival
(PFS),
and
overall
(OS).
However,
evolution
approaches
recognizes
importance
a
patient-centered
perspective
that
includes
factors
directly
affecting
patients'
quality
life
well-being.
Язык: Английский
Application of machine learning in the management of lymphoma: Current practice and future prospects
Digital Health,
Год журнала:
2024,
Номер
10
Опубликована: Янв. 1, 2024
In
the
past
decade,
digitization
of
medical
records
and
multiomics
data
analysis
in
lymphoma
has
led
to
accessibility
high-dimensional
records.
The
records,
visualization
extensive
volume
extracted
from
images,
integration
methods
into
clinical
decision-making
have
produced
many
datasets.
As
a
promising
auxiliary
tool,
machine
learning
(ML)
intends
extract
homologous
features
large-scale
sets
encode
them
various
patterns
complete
complicated
tasks.
At
present,
artificial
intelligence
digital
mining
shown
prospects
field
pathological
image
analysis.
paradigm
shift
qualitative
quantitative
makes
diagnosis
more
intelligent
results
accurate
objective.
ML
can
promote
provide
patients
with
prognostic
information
individualized
treatment
options.
Based
on
above,
this
comprehensive
review
general
workflow
highlights
recent
advances
techniques
diagnosis,
treatment,
prognosis
lymphoma,
clarifies
boundedness
future
orientation
technique
practice
lymphoma.
Язык: Английский
Optimization of diagnosis and treatment of hematological diseases via artificial intelligence
Frontiers in Medicine,
Год журнала:
2024,
Номер
11
Опубликована: Ноя. 7, 2024
Background
Optimizing
the
diagnosis
and
treatment
of
hematological
diseases
is
a
challenging
yet
crucial
research
area.
Effective
plans
typically
require
comprehensive
integration
cell
morphology,
immunology,
cytogenetics,
molecular
biology.
These
also
consider
patient-specific
factors
such
as
disease
stage,
age,
genetic
mutation
status.
With
advancement
artificial
intelligence
(AI),
more
“AI
+
medical”
application
models
are
emerging.
In
clinical
practice,
many
AI-assisted
systems
have
been
successfully
applied
to
diseases,
enhancing
precision
efficiency
offering
valuable
solutions
for
practice.
Objective
This
study
summarizes
progress
various
in
with
focus
on
their
biology
diagnosis,
well
prognosis
prediction
treatment.
Methods
Using
PubMed,
Web
Science,
other
network
search
engines,
we
conducted
literature
studies
from
past
5
years
using
main
keywords
“artificial
intelligence”
“hematological
diseases.”
We
classified
applications
AI
according
outline
summarize
current
advancements
optimizing
difficulties
challenges
promoting
standardization
this
field.
Results
can
significantly
shorten
turnaround
times,
reduce
diagnostic
costs,
accurately
predict
outcomes
through
image-recognition
technology,
genomic
data
analysis,
mining,
pattern
recognition,
personalized
medicine.
However,
several
remain,
including
lack
product
standards,
standardized
data,
medical–industrial
collaboration,
complexity
non-interpretability
systems.
addition,
regulatory
gaps
lead
privacy
issues.
Therefore,
improvements
needed
fully
leverage
potential
promote
diseases.
Conclusion
Our
results
serve
reference
point
development
offer
suggestions
further
hematology
Язык: Английский
Blockchain in clinical trials: Bibliometric and network studies of applications, challenges, and future prospects based on data analytics
Computer Methods and Programs in Biomedicine,
Год журнала:
2024,
Номер
255, С. 108321 - 108321
Опубликована: Июль 14, 2024
Язык: Английский
Outcomes of Patients with End-stage Renal Disease Hospitalized with COVID-19 in Ahvaz Razi Hospital from February 2020 to May 2021
Jundishapur Journal of Chronic Disease Care,
Год журнала:
2024,
Номер
13(4)
Опубликована: Сен. 16, 2024
Background:
End-stage
renal
disease
patients
on
maintenance
hemodialysis
(ESRD-HD)
are
at
very
high
risk
for
COVID-19
infections
due
to
their
older
age
and
comorbidities
such
as
diabetes
hypertension.
Objectives:
This
study
aimed
investigate
the
outcomes
of
in
ESRD-HD
patients.
Methods:
was
a
retrospective
conducted
aged
18
years
who
were
referred
Razi
Hospitals
Ahvaz
from
February
2020
May
2021
diagnosed
with
COVID-19.
Patient
information
extracted
retrospectively
medical
records.
Results:
A
total
180
examined.
The
average
61.5
years,
118
(65.6%)
men.
most
common
underlying
condition
hypertension
(81.1%).
prevalent
clinical
symptom
shortness
breath
(70.6%),
followed
by
cough
(47.8%).
Seventy-five
(41.66%)
admitted
intensive
care
unit
(ICU),
an
stay
5
days.
Hypertension
ischemic
heart
significantly
more
among
ICU
(P
=
0.008
0.015,
respectively).
In-hospital
mortality
32.8%.
Advanced
age,
fever,
breath,
cough,
need
ventilator
significant
predictors
hospitalized
ESRD
0.016,
0.033,
0.001,
0.012,
0.011,
Conclusions:
Our
demonstrated
that
admission
mortality.
symptoms
predict
in-hospital
these
Язык: Английский