Abstract
Scrub
typhus
is
an
acute
illness
caused
by
the
bacteria
Orientia
tsutsugamushi
and
transmitted
mites.
propagates
via
infected
chigger
bites
(larval
stage).
Diagnosing
scrub
challenging
due
to
its
ability
mimic
symptoms
of
other
febrile
illnesses.
Conventional
methods
such
as
Weil‐Felix,
ELISA,
PCR
are
available
for
diagnosing
typhus.
The
Weil‐Felix
test
was
formerly
used
in
developing
nations
diagnose
typhus,
but
it
not
recommended
since
lacks
both
specificity
sensitivity.
IFA
ELISA
superior
detecting
typhus;
however,
they
effective
at
early
stages
require
convalescent
sampling
confirm
positive
samples.
However,
because
serotypes
differ
their
genetic
makeup,
PCR‐based
approaches
have
become
less
applicable
despite
higher
Nanomaterial‐based
biosensing
could
help
detect
high
surface
area,
electrical
conductance,
chemical
stability.
This
study
emphasizes
need
point‐of‐care
detection
this
under‐diagnosed
fatal
disease,
emphasizing
importance
nanobiosensors
diagnosis.
pathophysiology
standard
diagnostic
procedures,
critical
role
that
play
discussed.
ACS Sensors,
Год журнала:
2024,
Номер
9(9), С. 4469 - 4494
Опубликована: Сен. 9, 2024
Lung
cancer
remains
a
global
health
concern,
demanding
the
development
of
noninvasive,
prompt,
selective,
and
point-of-care
diagnostic
tools.
Correspondingly,
breath
analysis
using
nanobiosensors
has
emerged
as
promising
noninvasive
nose-on-chip
technique
for
early
detection
lung
through
monitoring
diversified
biomarkers
such
volatile
organic
compounds/gases
in
exhaled
breath.
This
comprehensive
review
summarizes
state-of-the-art
breath-based
diagnosis
employing
chemiresistive-module
supported
by
theoretical
findings.
It
unveils
fundamental
mechanisms
biological
basis
biomarker
generation
associated
with
cancer,
technological
advancements,
clinical
implementation
nanobiosensor-based
analysis.
explores
merits,
challenges,
potential
alternate
solutions
implementing
these
settings,
including
standardization,
biocompatibility/toxicity
analysis,
green
sustainable
technologies,
life-cycle
assessment,
scheming
regulatory
modalities.
highlights
nanobiosensors'
role
facilitating
precise,
real-time,
on-site
leading
to
improved
patient
outcomes,
enhanced
management,
remote
personalized
monitoring.
Additionally,
integrating
biosensors
artificial
intelligence,
machine
learning,
Internet-of-things,
bioinformatics,
omics
technologies
is
discussed,
providing
insights
into
prospects
intelligent
sniffing
nanobiosensors.
Overall,
this
consolidates
knowledge
on
breathomic
biosensor-based
screening,
shedding
light
its
significance
applications
advancing
medical
diagnostics
reduce
burden
hospitals
save
human
lives.
Computational and Structural Biotechnology Journal,
Год журнала:
2025,
Номер
27, С. 423 - 439
Опубликована: Янв. 1, 2025
Antimicrobial
resistance
(AMR)
is
a
major
threat
to
global
public
health.
The
current
review
synthesizes
address
the
possible
role
of
Artificial
Intelligence
and
Machine
Learning
(AI/ML)
in
mitigating
AMR.
Supervised
learning,
unsupervised
deep
reinforcement
natural
language
processing
are
some
main
tools
used
this
domain.
AI/ML
models
can
use
various
data
sources,
such
as
clinical
information,
genomic
sequences,
microbiome
insights,
epidemiological
for
predicting
AMR
outbreaks.
Although
relatively
new
fields,
numerous
case
studies
offer
substantial
evidence
their
successful
application
outbreaks
with
greater
accuracy.
These
provide
insights
into
discovery
novel
antimicrobials,
repurposing
existing
drugs,
combination
therapy
through
analysis
molecular
structures.
In
addition,
AI-based
decision
support
systems
real-time
guide
healthcare
professionals
improve
prescribing
antibiotics.
also
outlines
how
AI
surveillance,
analyze
trends,
enable
early
outbreak
identification.
Challenges,
ethical
considerations,
privacy,
model
biases
exist,
however,
continuous
development
methodologies
enables
play
significant
combating
Nano TransMed,
Год журнала:
2024,
Номер
3, С. 100041 - 100041
Опубликована: Июль 9, 2024
Artificial
Intelligence
(AI)
and
Nanotechnology
are
two
cutting-edge
fields
that
hold
immense
promise
for
revolutionizing
various
aspects
of
science,
technology,
everyday
life.
This
review
delves
into
the
intersection
these
disciplines,
highlighting
synergistic
relationship
between
AI
Nanotechnology.
It
explores
how
techniques
such
as
machine
learning,
deep
neural
networks
being
employed
to
enhance
efficiency,
precision,
scalability
nanotechnology
applications.
Furthermore,
it
discusses
challenges,
opportunities,
future
prospects
integrating
with
nanotechnology,
paving
way
transformative
advancements
in
diverse
domains
ranging
from
healthcare
materials
science
environmental
sustainability
beyond.
Langmuir,
Год журнала:
2024,
Номер
40(44), С. 23549 - 23561
Опубликована: Окт. 26, 2024
This
work
explores
bubble
laser
technology
as
an
alternative
to
needles
in
injection
systems
for
vaccination,
cancer
treatment,
insulin
delivery,
and
catheter
hygiene.
The
leverages
laser-induced
microfiltration
dynamics
create
high-speed
pneumatic
jets
that
penetrate
the
skin
without
needles,
addressing
discomfort,
infection
risk,
needle-related
concerns.
system's
performance
is
analyzed
based
on
wavelength,
pulse
duration,
Gaussian
beam
droplet
size.
findings
indicate
a
significant
increase
spot
size
at
1064
nm
compared
with
400
nm,
consistent
diffraction
theory.
Induced
reveal
generation,
jetting,
fluid
interactions
Weber
number
increases,
well
jet
velocity
inertia.
For
femtosecond
pulses,
increasing
duration
from
100
1500
fs
reduces
lifespan
0.8
0.3
arbitrary
units,
collapse
pressure
decreases
2.1
0.4
bar.
picosecond
lifetime
0.9
0.5
drop
2.0
bar
length
extends
2000
8000
ps.
Jet
formation
enhanced
by
short
pulses
water
produce
longer-lasting
bubbles.
Drug
delivery
Rayleigh-Plesset
equation
characterized
low-pressure
lifetime.
Thus,
this
relationship
suggests
can
provide
more
controlled
safer
method
of
needle-free
procedures,
compliance
reducing
tissue
trauma.
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.
