Optics Express,
Journal Year:
2023,
Volume and Issue:
31(25), P. 42413 - 42413
Published: Nov. 16, 2023
Effective
differentiation
of
the
infection
stages
omicron
can
provide
significant
assistance
in
transmission
control
and
treatment
strategies.
The
combination
LIBS
serum
detection
machine
learning
methods,
as
a
novel
disease
auxiliary
diagnostic
approach,
has
high
potential
for
rapid
accurate
staging
classification
Omicron
infection.
However,
conventional
single-spectrometer
methods
focus
on
detecting
spectra
major
elements,
while
trace
elements
are
more
closely
related
to
progression
COVID-19.
Here,
we
proposed
analytical
method
with
dual-spectrometer
(DS-LIBS)
assisted
classify
different
omicron.
DS-LIBS,
including
broadband
spectrometer
narrowband
spectrometer,
enables
synchronous
collection
elemental
serum,
respectively.
By
employing
RF
models,
accuracy
using
data
collected
from
DS-LIBS
reach
0.92,
compared
0.84
0.73
when
LIBS.
This
improvement
highlights
efficacy
approach.
Then,
performance
four
SVM,
RF,
IGBT,
ETree,
is
compared.
ETree
demonstrates
best,
cross-validation
test
set
accuracies
0.94
0.93,
Additionally,
it
achieves
1.00,
0.89
B1-acute,
B1-post,
B2,
B3.
Overall,
results
demonstrate
that
combined
model
effective
Metabolites,
Journal Year:
2023,
Volume and Issue:
13(8), P. 931 - 931
Published: Aug. 9, 2023
The
inflammatory
reaction
and
pathogenesis
of
COVID-19
may
be
modulated
by
circulating
trace
elements
(Iron
(Fe),
Zinc
(Zn),
Copper
(Cu),
Manganese
(Mn))
Metallothioneins
(MTs).
Thus,
the
present
study
aimed
to
investigate
their
relationship
with
clinical,
biochemical,
parameters
in
patients
at
early
Intensive
Care
Unit
(ICU)
phase.
Critically
ill
(n
=
86)
were
monitored
from
first
day
ICU
admission
until
third
stay.
Serum
samples
used
assess
mineral
levels
via
Inductively
Coupled
Plasma
Mass
Spectrometry
(ICP-MS)
MT
differential
pulse
voltammetry.
Levels
Cu
MTs
significantly
decreased
after
3
days
(p
<
0.05),
increasing
prevalence
Cu-deficient
values
50%
65.3%
0.015).
Fe
Zn
shown
have
a
predictive
value
for
mortality
severity.
suggests
element
deficiency
risk
factor
during
treatment
COVID-19,
as
it
is
related
different
biochemical
clinical
parameters,
indicating
possible
beneficial
effect
restoring
proper
these
micronutrients.
Eurasian Journal of Medicine,
Journal Year:
2023,
Volume and Issue:
54(Supp1), P. S43 - S46
Published: Jan. 18, 2023
Whether
due
to
myocardial
infarction
or
not,
we
find
troponin
levels
be
high
when
damage
occurs.
Elevated
may
not
always
a
caused
by
plaque
rupture
on
the
basis
of
classically
known
coronary
thrombosis.
In
this
sense,
types
have
been
defined.
review,
aimed
bring
together
conditions
that
directly
indirectly
affect
myocardium,
except
for
acute
syndromes.
Journal of Contemporary Medicine,
Journal Year:
2023,
Volume and Issue:
13(1), P. 107 - 113
Published: Jan. 31, 2023
Objective:
Various
products
are
used
to
strengthen
immunity
in
prevention
and
treatment
during
the
COVID-19
pandemic
affecting
whole
world,
which
has
no
cure
yet,
vaccine
just
been
used.
This
study
was
planned
learn
about
supplements
by
healthcare
professionals.
Methods:
A
questionnaire
applied
physicians,
nurses,
technicians,
secretaries,
staff
working
operating
room,
intensive
care,
ward,
outpatient
clinic
e-mail,
WhatsApp,
or
face-to-face
interview
method.
Results:
There
difference
between
groups
terms
of
being
COVID-19-positive.
The
most
were
primarily
Mg
vitamin
D,
C,
ginger,
Zn,
turmeric,
green
tea,
complex,
thyme,
black
elderberry
(sambucus
nigra),
propolis,
prebiotic/probiotic,
acetylsalicylic
acid
(ASA),
cumin
(niger
sativa),
N-acetyl
cysteine
(NAC),
selenium
(Se),
Coenzyme-Q10,
cinnamon,
glutathione
(GSH)
quercetin
respectively.
No
one
had
alpha
lipoic
(ALA).
that
showed
significant
differences
with
without
propolis
ASA.
Conclusıon:
Since
it
is
not
asked
when
product
used,
although
possible
evaluate
its
effectiveness
for
preventive
therapeutic
purposes,
known
be
natural,
inexpensive,
easily
accessible
antiviral
may
preferred.
Eastern Journal Of Medicine,
Journal Year:
2023,
Volume and Issue:
28(2), P. 272 - 278
Published: Jan. 1, 2023
The
causative
microorganism
in
anthrax
is
Bacillus
anthracis
and
this
disease
more
common
some
regions
of
Türkiye.Changes
trace
elements
other
than
iron
infection
have
not
been
studied.In
study,
iron,
copper,
lead,
zi
nc,
manganese,
magnesium,
cadmium
cobalt
levels
were
investigated
cases
with
cutaneous
anthrax.Fifteen
patients
15
healthy
individuals
wereincluded
the
study.The
groups
similar
to
each
terms
age
gender.Anthrax
was
diagnosed
according
contact
status
animals,
symptoms,
examination,
microbiological
results.We
performed
our
study
Atomic
Absorption
Spectrophotometer
(UNICAM-929
spectrophotometer).Serum
significantly
higher
control
subjects
(p<0.05).Serum
zinc,
lower
(p<0.05).The
copper/zinc
molar
ratio
increased
subjects.It
has
reported
that
cadmium,
lead
are
low
copper
level
high
infectious
diseases.But
we
determined
opposite
situation
anthrax.As
a
result,
it
can
be
said
detection
cell
suppresses
immune
system.Also,
zinc
used
as
marker
for
disease.
Optics Express,
Journal Year:
2023,
Volume and Issue:
31(25), P. 42413 - 42413
Published: Nov. 16, 2023
Effective
differentiation
of
the
infection
stages
omicron
can
provide
significant
assistance
in
transmission
control
and
treatment
strategies.
The
combination
LIBS
serum
detection
machine
learning
methods,
as
a
novel
disease
auxiliary
diagnostic
approach,
has
high
potential
for
rapid
accurate
staging
classification
Omicron
infection.
However,
conventional
single-spectrometer
methods
focus
on
detecting
spectra
major
elements,
while
trace
elements
are
more
closely
related
to
progression
COVID-19.
Here,
we
proposed
analytical
method
with
dual-spectrometer
(DS-LIBS)
assisted
classify
different
omicron.
DS-LIBS,
including
broadband
spectrometer
narrowband
spectrometer,
enables
synchronous
collection
elemental
serum,
respectively.
By
employing
RF
models,
accuracy
using
data
collected
from
DS-LIBS
reach
0.92,
compared
0.84
0.73
when
LIBS.
This
improvement
highlights
efficacy
approach.
Then,
performance
four
SVM,
RF,
IGBT,
ETree,
is
compared.
ETree
demonstrates
best,
cross-validation
test
set
accuracies
0.94
0.93,
Additionally,
it
achieves
1.00,
0.89
B1-acute,
B1-post,
B2,
B3.
Overall,
results
demonstrate
that
combined
model
effective