Exploration of Medicine,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 17, 2025
Breath
analysis
is
a
relatively
new
topic
of
study
that
has
lot
potential
for
both
therapeutic
and
scientific
applications.
The
volatile
organic
compounds
(VOCs)
found
in
breath
are
created
internally
by
the
body
due
to
environmental
interactions,
gut
air
passage
bacteria,
metabolites
ingested
precursors.
may
help
diagnose
disorders
linked
changes
composition,
according
several
recent
research.
An
analytical
technique
shows
promise
metabolic
examination
infrared
spectroscopy.
Chemical
substances
exhaled
human
can
be
used
illnesses,
determine
physiological
states,
or
evaluate
exposure.
Exhaled
(EB)
perfect
biological
fluid
because
it
nearly
limitless
causes
little
no
discomfort
patient,
which
promotes
collaboration.
Furthermore,
EB
sampled
without
requiring
medical
professionals
privacy,
usually
doesn’t
produce
infectious
waste
(despite
airborne
infections),
makes
desirable
method
variety
non-invasive
solely
uses
composition
characterize
bloodstream
airways’
content,
indicates
state
condition
entire
body’s
metabolism.
absorption
strength
still
very
modest,
though,
contains
minimal
amounts
them.
Several
most
spectroscopy
analysis,
published
between
2020
2024,
presented
this
study.
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 24, 2025
Abstract
Breath
analysis
offers
a
non‐invasive
approach
to
modern
diagnostics
by
capturing
volatile
organic
compounds
(VOCs)
in
exhaled
breath.
However,
current
breath
technologies
face
challenges
like
humidity
sensitivity,
high
costs,
and
biodegradable
solutions,
limiting
their
scalability
environmental
sustainability.
This
study
presents
paper‐based,
biodegradable,
humidity‐insensitive
electronic
nose
(e‐nose)
sensor
array
integrated
into
mask
for
real‐time
analysis.
The
sensors,
coated
with
hydrophobic
polymer
coating,
ensure
robust
insensitivity
humidity,
enabling
reliable
detection
of
VOCs
even
high‐moisture
environments.
mask‐integrated
e‐nose
facilitates
monitoring
applications
such
as
alcohol
consumption
tracking
respiratory
health
assessment.
For
the
latter,
Tuberculosis
(TB)
is
selected
representative
use
case,
achieving
89%
accuracy
disease
diagnosis
recovery
using
pre‐trained
deep‐learning
model.
fully‐biodegradable
paper‐based
naturally
degrades
soil
within
months,
underscoring
its
eco‐friendly
design
suitability
disposable
monitoring.
work
introduces
sustainable,
user‐friendly
potential
personalized
healthcare
Analytical Chemistry,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 10, 2025
Electronic
nose
(E-nose)
has
been
applied
many
times
for
exhale
biomarker
detection
lung
cancer,
which
is
a
leading
cause
of
cancer-related
mortality
worldwide.
These
noninvasive
breath
testing
techniques
can
be
used
the
early
diagnosis
cancer
patients
and
help
improve
their
five
year
survival.
However,
there
are
still
key
challenges
to
addressed,
including
accurately
identifying
kind
volatile
organic
compounds
(VOCs)
biomarkers
in
human-exhaled
concentrations
these
VOCs,
may
vary
at
different
stages
cancer.
Recent
research
mainly
focused
on
E-nose
based
metal
oxide
semiconductor
sensor
array
with
proposed
single
gas
qualitative
quantitative
algorithms,
but
few
breakthroughs
multielement
gaseous
mixtures.
This
work
proposes
two
hybrid
deep-learning
models
that
combine
Transformer
CNN
algorithms
identification
VOC
types
quantification
concentrations.
The
classification
accuracy
model
reached
99.35%,
precision
99.31%,
recall
was
99.00%,
kappa
98.93%,
all
higher
than
those
comparison
like
AlexNet,
MobileNetV3,
etc.
achieved
an
average
R2
0.999
RMSE
only
0.109
mixed
gases.
Otherwise,
parameter
count
FLOPs
0.7
50.28
M,
respectively,
this
were
much
lower
models.
detailed
experiments
demonstrated
potential
our
screening
stage
Frontiers in Cancer Control and Society,
Год журнала:
2025,
Номер
3
Опубликована: Фев. 12, 2025
Introduction
New
technologies
and
innovations
are
emerging
that
enable
stratification
of
individuals
based
on
their
risk
cancer
screening
or
diagnostic
investigations
to
be
targeted
those
at
greatest
need.
This
study
aimed
explore,
in
depth,
attitudes
the
UK
public
toward
this
concept;
specifically,
anticipated
acceptability
uptake,
including
barriers
enablers
uptake.
Methods
A
survey
was
completed
independently
by
a
representative
population
sample
alongside
researcher
think
aloud
interviews.
Participants
considered
three
six
exemplars
assessment:
polygenic
scores,
geodemographic
segmentation,
continuous
biomarker
monitoring,
minimally
invasive
tests,
artificial
intelligence
analysis
medical
records,
wearable
devices.
Questions
about
likelihood
taking
up
assessment,
risk-stratified
healthcare,
comfort
results
being
used
within
healthcare
generally
were
set
asymptomatic
then
symptomatic
scenarios.
Descriptive
statistics
multivariable
logistic
regression
explore
differences
between
contexts
impact
individual
characteristics.
Interviews
analyzed
using
codebook
thematic
guided
Theoretical
Framework
Acceptability.
Free-text
comments
also
thematically.
Results
999
participants
21
Most
extremely
somewhat
likely
take
assessments,
ranging
from
62.0%
for
segmentation
85.2%
tests
scenario,
64.2%
94.0%
scenario.
Acceptability
referral
pathways
followed
similar
pattern,
as
did
with
widely.
Qualitative
analyses
showed
risk-based
approach
viewed
proactive
logical.
Tests
requiring
low
burden
preferred,
although
most
not
consider
any
too
high,
particularly
context.
Conclusions
Risk-based
early
detection
intuitive.
Study
would
engage
support
use
stratification,
decisions
symptom
investigations.
These
findings
justify
promote
ongoing
research
develop
these
highlight
features
increase
acceptability.
Small Structures,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 19, 2025
To
effectively
address
crisis
emergence
of
new
virus
such
as
monkeypox,
a
collective
and
collaborative
effort
between
scientists,
engineers,
innovators,
artists
from
all
ages,
regions,
diverse
fields
is
required.
This
review
explores
holistic
approach
to
addressing
the
monkeypox
by
integrating
nanobiosensors,
artificial
intelligence,
visual
arts,
humanities,
social
sciences.
Traditional
diagnostic
methods
are
often
limited
time,
accessibility,
accuracy,
but
advancement
point‐of‐care
smart
nanobiosensors
offers
promising
shift
toward
rapid,
precise,
accessible
diagnostics.
They
enhance
ability
screen,
diagnose,
monitor
infections
efficiently,
contributing
better
disease
management.
Beyond
technological
innovation,
essential
role
sciences
in
fostering
public
engagement,
understanding,
acceptance
tools
emphasized.
Visual
arts
can
illustrate
scientific
concepts,
making
them
more
relatable,
while
storytelling
through
various
media
reduce
stigma
promote
preventive
measures.
Social
provide
insights
into
cultural
attitudes,
behaviors,
health
challenges,
ensuring
that
solutions
integrated
communities.
By
combining
these
disciplines,
this
presents
comprehensive
framework
for
resilient
global
system
aligns
with
One
Health
principles,
emphasizing
interconnectedness
human,
animal,
environmental
health.
