World Journal of Advanced Engineering Technology and Sciences,
Год журнала:
2024,
Номер
12(2), С. 435 - 445
Опубликована: Июль 30, 2024
Plant
extract-mediated
synthesis
of
gold
nanoparticles
is
a
promising
research
area
with
potential
applications
in
various
fields
including
medicine-cancer
research,
catalysis,
and
nanoelectronics.
Gold
have
gained
serious
attention
recent
years
as
cancer
treatment
due
to
their
unique
optical
physical
properties.
Plant-mediated
method
produce
biocompatible
non-toxic
(Au-NPs).
This
study
focuses
on
the
current
plant-mediated
for
cancer.
It
also
discussed
latest
advancement
nanobot
technology.
The
will
describe
type
plants
used
nanoparticles,
mechanisms
involved
synthesis,
advantages
using
disadvantages.
Additionally,
this
discuss
efficacy
therapeutics
instrumentation
characterizing
(Au-NPs),
opportunities
use
(Au-NPs)
future
possible
nanotechnology
fight
against
Overall,
holds
promise
safe
effective
treatment.
RSC Advances,
Год журнала:
2024,
Номер
14(46), С. 33681 - 33740
Опубликована: Янв. 1, 2024
Tantalum-based
nanoparticles
(TaNPs)
have
emerged
as
promising
tools
in
cancer
management,
owing
to
their
unique
properties
that
facilitate
innovative
imaging
and
photothermal
therapy
applications.
Critical Reviews in Analytical Chemistry,
Год журнала:
2025,
Номер
unknown, С. 1 - 29
Опубликована: Март 27, 2025
The
urgent
need
for
sensitive,
rapid,
and
reliable
diagnostic
methodologies
to
control
prevent
life-threatening
pandemic
infectious
disease,
such
as
COVID-19,
remains
a
critical
priority.
Timely
on-site
detection
of
viral
pathogens
is
essential
effective
disease
management
mitigation
societal
disruptions.
Recent
advancements
in
optical
methods
have
positioned
them
at
the
forefront
healthcare
diagnostics,
offering
high
sensitivity
specificity
viable
alternatives
conventional
techniques
Polymerase
Chain
Reaction
(PCR),
which
often
suffer
from
time
delays
limited
accessibility
resource-constrained
environments.
This
review
elucidates
potential
various
techniques,
highlighting
their
advantages
over
traditional
methods.
It
encompasses
range
modalities,
including
fluorescence-based
approaches,
Raman
spectroscopy
(RS),
Plasmonic
(e.g.,
surface
plasmon
resonance
(SPR),
localized
SPR,
(LSPR),
surface-enhanced
(SERS),
fluorescence
(SEF)),
super
resolution
microscopies
(SRMs),
attenuated
total
reflectance-Fourier
transform
infrared
(ATR-FTIR),
integrated
platforms
waveguides
molecularly
imprinted
polymer
(MIP)-based
biosensors.
Additionally,
evolution
novel
biosensors,
particularly
5th
6th
generation
challenges
related
these
technologies
were
discussed.
studies
reviewed
aims
advance
development
portable,
specific,
cost-effective
point-of-care
(POC)
devices
rapid
pathogens.
Art of Medicine,
Год журнала:
2025,
Номер
unknown, С. 71 - 76
Опубликована: Апрель 2, 2025
The
aim
is
to
establish
the
correspondence
of
radiological
findings
morphological
signs
respiratory
failure
in
patients
who
died
as
a
result
coronavirus
disease-2019.
During
2020-2024,
there
were
examined
67
aged
37-79
years
with
acute
insufficiency
caused
by
COVID-19
leading
death.
control
group
included
48
people
43-78
due
cardiovascular
conditions
without
having
infectious
diseases.
main
vivo
methods
performed
both
samples
were:
lung
ultrasound,
X-ray
and
CT
scan
chest.
Postmortem
examination
gross
lungs
pleura,
material
sampling,
microscopic
study.
All
received
various
types
oxygen
support.
Among
them,
59
(88.1%)
study
37
(77.1%)
underwent
artificial
ventilation
that
lasted
more
than
24
hours,
according
which
groups
did
not
statistically
significantly
differ
from
each
other.
In
all
patients,
sonography
revealed
decrease
airiness
bilateral
areas
parenchyma
damage
numerous
B-lines.
dynamics,
progressive
consolidation
tissue
was
observed,
well
presence
pleural
effusion
(mainly
bilateral),
and,
some
cases,
pericardial
sac.
These
changes
gradually
increased,
led
deterioration
cardiac
parameters
patients.
Radiographs
chest
organs
showed
polysegmental
loci
weak
medium
intensity
opacity
preference
for
periphery,
formed
picture
increasing
negative
dynamics.
When
performed,
characteristics
ground-glass-like
opacity,
localized
mainly
peripherally
around
vessels
tendency
transformation
linear,
reticular
thickenings
bilaterally.
Bronchial
patency
preserved
cases.
variability
size
mediastinal
lymph
nodes
also
noted.
pathomorphological
characterizing
predominantly
lower
lobes
on
back
surface
partial
pneumatization
front
sections.
Lungs
collapse
(focal
atelectasis)
had
massive
blood
infiltration
identified
thromboembolic
syndrome.
Some
characterized
fibrin
deposits
visceral
parietal
sometimes
development
purulent
inflammation
–
empyema.
Mixed
different
phases
diffuse
alveolar
lungs,
manifested
signs.
disease-2019,
radiologically
visualized
ground
glass
terminal
stage
disease
corresponded
stages
damage.
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 29, 2025
Interface
stress
is
a
critical
challenge
limiting
the
optoelectronic
performance
and
stability
of
perovskite-based
X-ray
detectors,
often
causing
severe
issues
such
as
surface
roughness,
cracking,
film
detachment
during
fabrication.
To
address
this,
polymer
interlayers
have
been
employed
effective
stress-buffering
layers
at
substrate/perovskite
interface.
However,
influence
layer
properties
on
growth
quality
perovskite
films
has
received
limited
attention.
In
this
study,
we
systematically
explore
processability,
mechanical
properties,
solubility,
thermal
stability,
adsorption
strength
with
materials
four
polymers
-
poly(vinylidene
fluoride)
(PVDF),
poly(vinylpyrrolidone)
(PVP),
polyimide
(PI),
poly(l-lactic
acid)
(PLLA)
using
combination
experimental
theoretical
methods,
emphasizing
role
molecular
characteristics
in
enhancing
CsPbI2Br
quality.
Among
them,
thick
PI
buffer
demonstrates
most
uniform
dense
morphology,
along
strong
adhesion
to
substrate,
maintaining
integrity
even
under
50
g
load.
The
resulting
detectors
exhibit
excellent
uniformity
long-term
over
30
days
continuous
operation.
Moreover,
integration
PI/CsPbI2Br
64
×
thin-film
transistor
(TFT)
enabled
high-resolution
imaging.
This
study
provides
valuable
insights
into
selecting
further
optimize
film-based
detectors.
Objective
Early
and
accurate
detection
of
COVID-19
pneumonia
through
medical
imaging
is
critical
for
effective
patient
management.
This
study
aims
to
develop
a
robust
framework
that
integrates
synthetic
image
augmentation
with
advanced
deep
learning
(DL)
models
address
dataset
imbalance,
improve
diagnostic
accuracy,
enhance
trust
in
artificial
intelligence
(AI)-driven
diagnoses
Explainable
AI
(XAI)
techniques.
Methods
The
proposed
benchmarks
state-of-the-art
(InceptionV3,
DenseNet,
ResNet)
initial
performance
evaluation.
Synthetic
images
are
generated
using
Feature
Interpolation
Linear
Mapping
principal
component
analysis
enrich
diversity
balance
class
distribution.
YOLOv8
InceptionV3
models,
fine-tuned
via
transfer
learning,
trained
on
the
augmented
dataset.
Grad-CAM
used
model
explainability,
while
large
language
(LLMs)
support
visualization
interpretability.
Results
achieved
superior
97%
precision,
recall,
F1-score,
outperforming
benchmark
models.
data
generation
effectively
reduced
imbalance
improved
recall
underrepresented
classes.
Comparative
demonstrated
significant
advancements
over
existing
methodologies.
XAI
visualizations
(Grad-CAM
heatmaps)
highlighted
anatomically
plausible
focus
areas
aligned
clinical
markers
pneumonia,
thereby
validating
model's
decision-making
process.
Conclusion
integration
generation,
DL,
significantly
enhances
fostering
systems.
YOLOv8's
high
coupled
interpretable
LLM-driven
analysis,
promotes
transparency
crucial
adoption.
Future
research
will
developing
clinically
viable,
human-in-the-loop
workflow,
further
optimizing
transformer-based
interpretability
decision-making.
Healthcare,
Год журнала:
2024,
Номер
12(23), С. 2330 - 2330
Опубликована: Ноя. 21, 2024
Artificial
Intelligence
(AI)
is
poised
to
revolutionize
numerous
aspects
of
human
life,
with
healthcare
among
the
most
critical
fields
set
benefit
from
this
transformation.
Medicine
remains
one
challenging,
expensive,
and
impactful
sectors,
challenges
such
as
information
retrieval,
data
organization,
diagnostic
accuracy,
cost
reduction.
AI
uniquely
suited
address
these
challenges,
ultimately
improving
quality
life
reducing
costs
for
patients
worldwide.
Despite
its
potential,
adoption
in
has
been
slower
compared
other
industries,
highlighting
need
understand
specific
obstacles
hindering
progress.
This
review
identifies
current
shortcomings
explores
possibilities,
realities,
frontiers
provide
a
roadmap
future
advancements.
Applied Sciences,
Год журнала:
2024,
Номер
14(23), С. 10879 - 10879
Опубликована: Ноя. 24, 2024
This
study
investigates
the
absorption
of
X-rays
in
mandibular
tissues
by
comparing
real
with
tissue-equivalent
materials
using
PHITS
Monte
Carlo
simulation
program.
The
was
conducted
over
a
range
X-ray
photon
energies
from
50
to
100
keV,
increments
5
evaluate
dose
absorbed
different
tissues.
Real
tissues,
such
as
skin,
parotid
gland,
and
masseter
muscle,
were
compared
their
polymeric
materials,
including
PMMA,
Parylene
N,
Teflon.
results
showed
that
generally
more
than
corresponding
equivalents,
especially
at
lower
energy
levels.
For
instance,
differences
doses
reached
up
50%
for
muscle
its
equivalent,
while
this
gap
narrowed
higher
energies.
highlights
limitations
current
accurately
simulating
tissue
behavior,
particularly
low-energy
applications.
These
discrepancies
suggest
utilizing
may
lead
less
accurate
medical
imaging
radiotherapy
calculations.
Future
research
should
focus
on
improving
validating
experimental
data
ensure
reliable
dosimetric
outcomes.
provides
foundation
refining
radiation
calculations
patient
safety
clinical
applications
involving
X-rays.