Bioengineering,
Journal Year:
2023,
Volume and Issue:
11(1), P. 32 - 32
Published: Dec. 27, 2023
Notably,
3D-printed
flexible
and
wearable
biosensors
have
immense
potential
to
interact
with
the
human
body
noninvasively
for
real-time
continuous
health
monitoring
of
physiological
parameters.
This
paper
comprehensively
reviews
progress
in
biosensors.
The
review
also
explores
incorporation
nanocomposites
3D
printing
A
detailed
analysis
various
processes
fabricating
is
reported.
Besides
this,
recent
advances
platforms
such
as
sweat
sensors,
glucose
electrocardiography
electroencephalography
tactile
oximeters,
tattoo
respiratory
sensors
are
discussed.
Furthermore,
challenges
prospects
associated
presented.
an
invaluable
resource
engineers,
researchers,
healthcare
clinicians,
providing
insights
into
advancements
capabilities
biosensor
domain.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(34)
Published: March 8, 2024
In
recent
years,
there
has
been
widespread
adoption
of
machine
learning
(ML)
technologies
to
unravel
intricate
relationships
among
diverse
parameters
in
various
additive
manufacturing
(AM)
techniques.
These
ML
models
excel
at
recognizing
complex
patterns
from
extensive,
well-curated
datasets,
thereby
unveiling
latent
knowledge
crucial
for
informed
decision-making
during
the
AM
process.
The
collaborative
synergy
between
and
holds
potential
revolutionize
design
production
AM-printed
parts.
This
review
delves
into
challenges
opportunities
emerging
intersection
these
two
dynamic
fields.
It
provides
a
comprehensive
analysis
publication
landscape
ML-related
research
field
AM,
explores
common
applications
(such
as
quality
control,
process
optimization,
microstructure
analysis,
material
formulation),
concludes
by
presenting
an
outlook
that
underscores
utilization
advanced
models,
development
sensors,
AM-related
Notably,
garnered
increased
attention
due
its
superior
performance
across
applications.
is
envisioned
integration
processes
will
significantly
enhance
3D
printing
capabilities
areas.
Nature Medicine,
Journal Year:
2024,
Volume and Issue:
30(5), P. 1257 - 1268
Published: May 1, 2024
Artificial
intelligence
(AI)
is
rapidly
emerging
in
healthcare,
yet
applications
surgery
remain
relatively
nascent.
Here
we
review
the
integration
of
AI
field
surgery,
centering
our
discussion
on
multifaceted
improvements
surgical
care
preoperative,
intraoperative
and
postoperative
space.
The
emergence
foundation
model
architectures,
wearable
technologies
improving
data
infrastructures
enabling
rapid
advances
interventions
utility.
We
discuss
how
maturing
methods
hold
potential
to
improve
patient
outcomes,
facilitate
education
optimize
care.
current
deep
learning
approaches
outline
a
vision
for
future
through
multimodal
models.
This
Review
outlines
state
art
artificial
settings,
where
it
has
enormous
system
efficiencies.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(45)
Published: June 12, 2024
Abstract
Advanced
wireless
sensors,
incorporating
metal‐organic
frameworks
(MOFs),
enzymatic
systems,
and
nanocomposites,
offer
unparalleled
solutions
for
monitoring
analytes
human
physiological
signals.
These
cutting‐edge
when
used
with
external
devices,
enable
real‐time
of
physicochemical
processes
within
the
body,
thereby
enhancing
understanding
complex
biological
systems.
This
study
presents
advancements
in
sensor
development,
fabrication
techniques,
user‐friendly
protocols.
The
performance
these
sensors
is
evaluated
based
on
their
selectivity,
sensitivity,
detection
limits.
Moreover,
this
article
explores
limitations,
challenges,
key
strategies
to
enhance
analyte
recognition
from
onsite
environmental
species,
ensuring
point‐of‐care
safety.
Science,
Journal Year:
2024,
Volume and Issue:
385(6712), P. 954 - 961
Published: Aug. 29, 2024
Recent
respiratory
outbreaks
have
garnered
substantial
attention,
yet
most
monitoring
remains
confined
to
physical
signals.
Exhaled
breath
condensate
(EBC)
harbors
rich
molecular
information
that
could
unveil
diverse
insights
into
an
individual’s
health.
Unfortunately,
challenges
related
sample
collection
and
the
lack
of
on-site
analytical
tools
impede
widespread
adoption
EBC
analysis.
Here,
we
introduce
EBCare,
a
mask-based
device
for
real-time
in
situ
biomarkers.
Using
tandem
cooling
strategy,
automated
microfluidics,
highly
selective
electrochemical
biosensors,
wireless
reading
circuit,
EBCare
enables
continuous
multimodal
analytes
across
real-life
indoor
outdoor
activities.
We
validated
EBCare’s
usability
assessing
metabolic
conditions
airway
inflammation
healthy
participants,
patients
with
chronic
obstructive
pulmonary
disease
or
asthma,
after
COVID-19
infection.
