International Journal of Oncology,
Journal Year:
2022,
Volume and Issue:
60(5)
Published: April 6, 2022
Breast
and
ovarian
cancer
represent
two
of
the
most
common
tumor
types
in
females
worldwide.
Over
years,
several
non‑modifiable
modifiable
risk
factors
have
been
associated
with
onset
progression
these
tumors,
including
age,
reproductive
factors,
ethnicity,
socioeconomic
status
lifestyle
as
well
family
history
genetic
factors.
Of
note,
BRCA1
BRCA2
are
suppressor
genes
a
key
role
DNA
repair
processes,
whose
mutations
may
induce
genomic
instability
increase
development.
Specifically,
breast
or
harboring
BRCA1/2
germline
60‑70%
increased
developing
15‑40%
for
cancer.
Different
databases
collected
frequent
affecting
BRCA1/2.
Through
analysis
such
databases,
it
is
possible
to
identify
hotspot
that
be
analyzed
next‑generation
sequencing
(NGS)
novel
innovative
strategies.
In
this
context,
NGS
remains
gold
standard
method
assessment
mutations,
while
techniques,
droplet
digital
PCR
(ddPCR),
improve
sensitivity
hereditary
forms
On
bases,
present
study
aimed
provide
an
update
current
knowledge
on
frequency
susceptibility,
focusing
diagnostic
potential
recent
methods,
ddPCR.
Microsystems & Nanoengineering,
Journal Year:
2023,
Volume and Issue:
9(1)
Published: Jan. 1, 2023
Abstract
The
COVID-19
pandemic
has
posed
enormous
challenges
for
existing
diagnostic
tools
to
detect
and
monitor
pathogens.
Therefore,
there
is
a
need
develop
point-of-care
(POC)
devices
perform
fast,
accurate,
accessible
methods
infections
immune
responses.
Devices
most
amenable
miniaturization
suitable
POC
applications
are
biosensors
based
on
electrochemical
detection.
We
have
developed
an
impedimetric
immunosensor
interdigitated
microelectrode
array
(IMA)
SARS-CoV-2
antibodies
in
human
serum.
Conjugation
chemistry
was
applied
functionalize
covalently
immobilize
the
spike
protein
(S-protein)
of
surface
IMA
serve
as
recognition
layer
specifically
bind
anti-spike
antibodies.
Antibodies
bound
S-proteins
result
increase
capacitance
consequent
change
impedance
system.
label-free
uses
non-Faradaic
with
low
nonperturbing
AC
voltage
sensitivity
capacitive
can
be
enhanced
by
simply
tuning
ionic
strength
sample
solution.
device
exhibits
LOD
0.4
BAU/ml,
determined
from
standard
curve
using
WHO
IS
anti-SARS-CoV-2
immunoglobulins;
this
similar
corresponding
LODs
reported
all
validated
established
commercial
assays,
which
range
0.41
4.81
BAU/ml.
proof-of-concept
biosensor
been
demonstrated
sera
patients
infected
within
1
h.
Vaccines,
Journal Year:
2023,
Volume and Issue:
11(1), P. 160 - 160
Published: Jan. 11, 2023
Omicron
variants
have
highly
influenced
the
entire
globe.
It
has
a
high
rate
of
transmissibility,
which
makes
its
management
tedious.
There
are
various
subtypes
omicron,
namely
BA.1,
BA.2,
BA.3,
BA.4,
and
BA.5.
Currently,
one
omicron
subvariant
BF.7
is
also
immersed
in
some
parts
India.
Further
studies
required
for
better
understanding
new
immersing
SARS-CoV-2
omicron.
They
differ
mutation
spike
proteins,
alters
their
attachment
to
host
receptor
hence
modifies
virulence
adaptability.
Delta
great
disastrous
influence
on
world,
especially
While
overcoming
it,
another
mutant
catches
pace.
The
Indian
population
affected
by
variants.
diagnosis
system
against
COVID-19.
demanded
forcemeat
health
care
system,
both
qualitatively
quantitively,
cope
with
wave.
alteration
protein,
major
target
vaccines,
leads
varied
immunization
subvariants.
efficacy
vaccines
variant
was
questioned.
Every
vaccine
had
different
shielding
effect
variant.
hesitancy
vaccination
prevalent
factor
India
that
might
contributed
outbreak.
prevalence
monkeypox,
tomato
flu
shared
similarities
distinct
features
when
compared
population.
This
review
emphasizes
changes
brings
it
how
outrage
this
dangerous
Reviews in Aquaculture,
Journal Year:
2023,
Volume and Issue:
15(S1), P. 186 - 212
Published: Feb. 1, 2023
Abstract
Tilapia
is
an
affordable
protein
source
farmed
in
over
140
countries
with
the
majority
of
production
low‐
and
middle‐income
countries.
Intensification
tilapia
farming
has
exacerbated
losses
caused
by
emerging
re‐emerging
infectious
diseases.
Disease
diagnostics
play
a
crucial
role
biosecurity
health
management
to
mitigate
disease
loss
improve
animal
welfare
aquaculture.
Three
continuous
levels
(I,
II
III)
for
aquatic
species
have
been
proposed
Food
Agriculture
Organization
United
Nations
(FAO)
Network
Aquaculture
Centers
Asia
Pacific
(NACA)
promote
integration
basic
advanced
methods
achieve
accurate
meaningful
interpretation
diagnostic
results.
However,
recent
proliferation
cutting‐edge
molecular
applied
diagnosis
diseases
aquacultured
animals
shifted
focus
researchers
users
away
from
approaches
toward
diagnostics,
despite
fact
that
many
can
be
rapidly
diagnosed
using
inexpensive,
simple
microscopic
examination
most
aquaculture
were
discovered
histopathology.
This
review,
therefore,
revisits
highlights
importance
three
tilapia,
particularly
frequently
overlooked
procedures
(e.g.,
case
history
records,
gross
pathology,
presumptive
histopathology).
The
review
also
covers
current
technologies
pathogens
including
polymerase
chain
reaction
(conventional,
quantitative,
digital),
isothermal
amplification
Loop‐mediated
Isothermal
Amplification
(LAMP),
recombinase
(RPA),
clustered
regularly
interspaced
short
palindromic
repeats
(CRISPR)‐based
detection,
lateral
flow
immunoassays,
as
well
discussing
what
on
horizon
(next
generation
sequencing,
artificial
intelligence,
environmental
Deoxyribonucleic
Acid
(DNA)
Ribonucleic
(RNA)
point‐of‐care
testing)
providing
future
vision
transferring
these
farmers
stakeholders
sustainable
food
system
transformation.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 7, 2024
Abstract
This
paper
introduces
a
novel
approach
for
detecting
the
SARS-CoV-2
recombinant
spike
protein
combining
label
free
electrochemical
impedimetric
immunosensor
with
use
of
purified
chicken
IgY
antibodies.
The
sensor
employs
three
electrodes
and
is
functionalized
an
anti-S
antibody,
ELISA
immunoblot
assays
confirmed
positive
response
immunized
SARS-CoV2
S
antigen.
developed
effective
in
nasopharyngeal
clinical
samples
from
suspected
cases.
key
advantage
this
biosensor
its
remarkable
sensitivity,
capability
very
low
concentrations
target
analyte,
detection
limit
5.65
pg/mL.
attribute
makes
it
highly
suitable
practical
point-of-care
(POC)
applications,
particularly
analyte
count
scenarios,
without
requiring
amplification.
Furthermore,
has
wide
dynamic
range
detection,
spanning
11.56
to
740
ng/mL,
which
applicable
sample
analysis
typical
setting.
Knowledge-Based Systems,
Journal Year:
2022,
Volume and Issue:
241, P. 108207 - 108207
Published: Jan. 17, 2022
COVID-19
is
a
rapidly
spreading
viral
disease
and
has
affected
over
100
countries
worldwide.
The
numbers
of
casualties
cases
infection
have
escalated
particularly
in
with
weakened
healthcare
systems.
Recently,
reverse
transcription-polymerase
chain
reaction
(RT-PCR)
the
test
choice
for
diagnosing
COVID-19.
However,
current
evidence
suggests
that
infected
patients
are
mostly
stimulated
from
lung
after
coming
contact
this
virus.
Therefore,
chest
X-ray
(i.e.,
radiography)
CT
can
be
surrogate
some
where
PCR
not
readily
available.
This
forced
scientific
community
to
detect
images
recently
proposed
machine
learning
methods
offer
great
promise
fast
accurate
detection.
Deep
convolutional
neural
networks
(CNNs)
been
successfully
applied
radiological
imaging
improving
accuracy
diagnosis.
performance
remains
limited
due
lack
representative
available
public
benchmark
datasets.
To
alleviate
issue,
we
propose
self-augmentation
mechanism
data
augmentation
feature
space
rather
than
using
reconstruction
independent
component
analysis
(RICA).
Specifically,
unified
architecture
which
contains
deep
network
(CNN),
mechanism,
bidirectional
LSTM
(BiLSTM).
CNN
provides
high-level
features
extracted
at
pooling
layer
chooses
most
relevant
generates
low-dimensional
augmented
features.
Finally,
BiLSTM
used
classify
processed
sequential
information.
We
conducted
experiments
on
three
publicly
databases
show
approach
achieves
state-of-the-art
results
97%,
84%
98%.
Explainability
carried
out
visualization
through
PCA
projection
t-SNE
plots.
Frontiers in Microbiology,
Journal Year:
2022,
Volume and Issue:
13
Published: June 20, 2022
In
late
December
2019,
the
first
cases
of
viral
pneumonia
caused
by
an
unidentified
pathogen
were
reported
in
China.
Two
years
later,
SARS-CoV-2
was
responsible
for
almost
450
million
cases,
claiming
more
than
6
lives.
The
COVID-19
pandemic
strained
limits
healthcare
systems
all
across
world.
Identifying
RNA
through
real-time
reverse
transcription-polymerase
chain
reaction
remains
gold
standard
diagnosing
infection.
However,
equipment
cost,
availability,
and
need
trained
personnel
limited
testing
capacity.
Through
unprecedented
research
effort,
new
diagnostic
techniques
such
as
rapid
testing,
isothermal
amplification
techniques,
next-generation
sequencing
developed,
enabling
accurate
accessible
diagnosis.
Influenza
viruses
are
seasonal
outbreaks
infecting
up
to
a
quarter
human
population
worldwide.
present
with
flu-like
symptoms,
making
differential
diagnosis
challenging
solely
on
clinical
presentation.
Healthcare
likely
be
faced
overlapping
outbreaks.
This
review
aims
similarities
differences
both
infections
while
focusing
We
discuss
presentation
available
Furthermore,
we
summarize
data
regarding
multiplex
assay
infections.
Sensors International,
Journal Year:
2022,
Volume and Issue:
3, P. 100171 - 100171
Published: Jan. 1, 2022
COVID-19
is
the
current
global
problem.
Billions
of
infected
cases
due
to
pandemic
cause
an
emergency
requirement
contain
pandemic.
A
basic
concept
manage
outbreak
early
diagnosis
and
prompt
treatment.
To
diagnose
COVID-19,
new
biosensors
become
interventions
that
are
hopeful
help
effective
diagnosis.
In
clinical
material
science,
issues
on
materials
detection
biosensor
very
interesting.
this
brief
review,
authors
summarize
discuss
sustainable
biosensor.
The
paper,
cellulose
graphene
-
based
specifically
focused
for
RNA
sensing,
antigenic
determination
immune
response
covered
in
short
article.
Non-Coding RNA,
Journal Year:
2022,
Volume and Issue:
8(4), P. 60 - 60
Published: Aug. 10, 2022
Oral
cancer
is
one
of
the
most
common
malignancies
worldwide,
accounting
for
2%
all
cases
annually
and
1.8%
deaths.
To
date,
tissue
biopsy
histopathological
analyses
are
gold
standard
methods
diagnosis
oral
cancers.
However,
generally
diagnosed
at
advanced
stages
with
a
consequent
poor
5-year
survival
(~50%)
due
to
limited
screening
programs
inefficient
physical
examination
strategies.
address
these
limitations,
liquid
recently
emerging
as
novel
minimally
invasive
tool
early
identification
tumors
well
evaluation
tumor
heterogeneity
prognosis
patients.
Several
studies
have
demonstrated
that
in
could
be
useful
detection
circulating
biomarkers
including
DNA
(ctDNA),
microRNAs
(miRNAs),
proteins,
exosomes,
thus
improving
diagnostic
strategies
paving
way
personalized
medicine.
application
still
further
needed
better
clarify
its
clinical
impact.
The
present
manuscript
aims
provide
an
updated
overview
potential
use
additional
management
lesions
by
describing
available
methodologies
promising
biomarkers.
Information,
Journal Year:
2022,
Volume and Issue:
13(7), P. 330 - 330
Published: July 10, 2022
The
World
Health
Organization
labelled
the
new
COVID-19
breakout
a
public
health
crisis
of
worldwide
concern
on
30
January
2020,
and
it
was
named
global
pandemic
in
March
2020.
It
has
had
catastrophic
consequences
world
economy
well-being
people
put
tremendous
strain
already-scarce
healthcare
systems
globally,
particularly
underdeveloped
countries.
Over
11
billion
vaccine
doses
have
already
been
administered
worldwide,
benefits
these
vaccinations
will
take
some
time
to
appear.
Today,
only
practical
approach
diagnosing
is
through
RT-PCR
RAT
tests,
which
sometimes
known
give
unreliable
results.
Timely
diagnosis
implementation
precautionary
measures
likely
improve
survival
outcome
decrease
fatality
rates.
In
this
study,
we
propose
an
innovative
way
predict
with
help
alternative
non-clinical
methods
such
as
supervised
machine
learning
models
identify
patients
at
risk
based
their
characteristic
parameters
underlying
comorbidities.
Medical
records
from
Mexico
admitted
between
23
2020
26
2022,
were
chosen
for
purpose.
Among
several
approaches
tested,
XGBoost
model
achieved
best
results
accuracy
92%.
easy,
non-invasive,
inexpensive,
instant
accurate
forecasting
those
contracting
virus.
However,
pretty
early
deduce
that
method
can
be
used
clinical
coronavirus
cases.