COVID,
Journal Year:
2024,
Volume and Issue:
4(10), P. 1585 - 1598
Published: Sept. 29, 2024
Several
websites
have
offered
patients
opportunities
to
find
out
whether
they
meet
the
case
definitions
for
myalgic
encephalomyelitis/chronic
fatigue
syndrome/Chronic
Fatigue
Syndrome
(ME/CFS).
The
current
study
describes
a
new
online
screener
that
can
be
completed
by
individuals
who
might
like
determine
if
ME/CFS
criteria.
website
is
available
anyone
use,
and
feedback
more
comprehensive
than
other
sites’,
particularly
in
providing
data
on
how
participants’
compares
with
large
patient
population,
as
well
ME
are
met.
Materials Today Electronics,
Journal Year:
2023,
Volume and Issue:
5, P. 100055 - 100055
Published: Aug. 11, 2023
As
personal
portable
devices,
wearable
sensors
supply
a
leading-edge
pathway
to
diagnose
various
diseases
through
actuating
biological,
physical,
and
chemical
sensing
capabilities.
This
could
be
commonly
carried
out
via
recording
continuous
real-time
of
the
patient's
physiological
statuses,
as
well
pathophysiological
information.
Although
sensor
technology
is
in
infancy
stage,
tremendous
attempts
have
been
devoted
approaching
flexible
polymeric
sensors.
Among
polymer
candidates
applicable
for
synthesizing
sensors,
bio-based
ones
piqued
more
interest
due
their
biocompatibility,
biodegradability,
eco-friendly
features,
cost-effectiveness.
Additionally,
several
fabrication
techniques
professed
architect
efficient
frameworks,
such
films,
hydrogels,
aerogels,
ferrogels,
3D
layers,
electrospun
mats,
textiles.
In
this
review,
different
mechanisms
declared
engineer
are
overviewed.
Then,
regarding
advantages
observed
polymers,
focused
studies
on
natural-based
described.
Notably,
cellulose,
chitosan,
silk,
gelatin,
alginate's
role
functionality
highlighted.
Accordingly,
review
has
opened
new
window
ahead
opportunities
based
natural
polymers.
It
hoped
that
generation
will
launched
by
combining
emerging
achievements
obtained
from
employing
sustainable
green
elements
miniaturized
structures.
ECS Sensors Plus,
Journal Year:
2024,
Volume and Issue:
3(2), P. 025001 - 025001
Published: May 7, 2024
Originating
at
the
intersection
of
physics
and
biosensing,
quantum
biosensors
(QB)
are
transforming
medical
diagnostics
personalized
medicine
by
exploiting
phenomena
to
amplify
sensitivity,
specificity,
detection
speed
compared
traditional
biosensors.
Their
foundation
lies
in
fusion
biological
entities
like
DNA,
proteins,
or
enzymes
with
sensors,
which
elicits
discernible
alterations
light
emissions
when
interacting
sample
molecules.
prowess
identifying
disease-linked
biomarkers
presents
an
avenue
for
early
diagnoses
conditions
Alzheimer’s
cancer.
Beyond
this,
they
enable
real-time
monitoring
treatment
responses
capturing
dynamism
biomarkers,
but
QB
still
faces
challenges,
such
as
issues
stability,
reproducibility,
intricate
interactions.
Moreover,
seamless
integration
into
prevailing
diagnostic
frameworks
necessitates
careful
consideration.
Looking
ahead,
evolution
navigates
uncharted
territories.
Innovations
fabrication
techniques,
interdisciplinary
collaborations,
standardization
protocols
emerge
pivotal
areas
exploration.
This
comprehensive
discourse
encapsulates
QB’s
principles,
diverse
iterations,
burgeoning
utilities.
It
delves
inherent
challenges
limitations,
shedding
on
potential
trajectories
future
research.
As
continues
evolve,
its
redefine
becomes
increasingly
tangible.
The
saga
resonates
possibilities,
poised
reshape
landscape
profoundly.
Materials Advances,
Journal Year:
2024,
Volume and Issue:
5(10), P. 4091 - 4111
Published: Jan. 1, 2024
This
comprehensive
review
paper
provides
an
insightful
exploration
of
the
burgeoning
field
2D
nanostructures
and
their
development
as
telemedicine
platforms
for
futuristic
smart
healthcare
systems.
Expert Opinion on Drug Delivery,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 8, 2024
Applying
artificial
intelligence
(AI)
to
nanomedicine
has
greatly
increased
the
production
of
specially
engineered
nanoscale
materials
for
tailored
medicine,
marking
a
significant
advancement
in
healthcare.
With
use
AI,
researchers
can
search
through
massive
databases
and
find
nano-properties
that
support
range
therapeutic
objectives,
eventually
producing
safer,
customized
nanomaterials.
AI
analyzes
patient
data,
including
clinical
genetic
information,
predict
results
individualized
care
makes
recommendations
therapy
improvement.
Furthermore,
logically
creates
nanocarriers
give
precise
controlled
drug
release
patterns
optimize
advantages
minimize
undesirable
side
effects.
Even
though
lot
potential
nanomedicine,
there
are
still
issues
data
integration
techniques,
moral
dilemmas,
requirement
governmental
backing.
Future
developments
tools
multidisciplinary
cooperation
between
scientists
with
expertise
biological
sciences
nanoengineering
essential
nanomedicine.
Together,
these
disciplines
propel
advancements
precision
contributing
ultimate
objective—a
future
which
combine
provide
really
The
authors
this
editorial
encourage
call
on
scientists,
physicians,
legislators
acknowledge
its
transform
treatment.
Database,
Journal Year:
2023,
Volume and Issue:
2023
Published: Jan. 1, 2023
The
increasing
prevalence
of
diet-related
diseases
calls
for
an
improvement
in
nutritional
advice.
Personalized
nutrition
aims
to
solve
this
problem
by
adapting
dietary
and
lifestyle
guidelines
the
unique
circumstances
each
individual.
With
latest
advances
technology
data
science,
researchers
can
now
automatically
collect
analyze
large
amounts
from
a
variety
sources,
including
wearable
smart
devices.
By
combining
these
diverse
data,
more
comprehensive
insights
human
body
its
be
achieved.
However,
there
are
still
major
challenges
overcome,
need
robust
standardization
methodologies
better
subject
monitoring
assessment.
Here,
we
present
AI4Food
database
(AI4FoodDB),
which
gathers
weight
loss
intervention
100
overweight
obese
participants
during
1
month.
Data
acquisition
involved
manual
traditional
approaches,
novel
digital
methods
collection
biological
samples,
obtaining:
(i)
samples
at
beginning
end
intervention,
(ii)
anthropometric
measurements
every
2
weeks,
(iii)
questionnaires
two
different
time
points
(iv)
continuous
weeks.
To
best
our
knowledge,
AI4FoodDB
is
first
public
that
centralizes
food
images,
sensors,
validated
same
intervention.
thus
has
immense
potential
fostering
advancement
automatic
artificial
intelligence
techniques
field
personalized
care.
Moreover,
collected
information
will
yield
valuable
into
relationships
between
variables
health
outcomes,
allowing
generate
test
new
hypotheses,
identify
biomarkers
endpoints,
explore
how
lifestyle,
factors
impact
health.
aim
article
describe
datasets
included
outline
they
hold
precision
research.
Database
URL
https://github.com/AI4Food/AI4FoodDB.
Biosensors and Bioelectronics X,
Journal Year:
2023,
Volume and Issue:
13, P. 100324 - 100324
Published: Feb. 21, 2023
COVID-19,
a
highly
contagious
viral
infection
caused
by
the
occurrence
of
severe
acute
respiratory
syndrome
coronavirus
(SARS-CoV-2),
has
turned
out
to
be
pandemic
then
ravaged
many
countries
worldwide.
In
recent
years,
point-of-care
(POC)
biosensors
combined
with
state-of-the-art
bioreceptors,
and
transducing
systems
enabled
development
novel
diagnostic
tools
for
rapid
reliable
detection
biomarkers
associated
SARS-CoV-2.
The
present
review
thoroughly
summarises
discusses
various
biosensing
strategies
developed
probing
SARS-CoV-2
molecular
architectures
(viral
genome,
S
Protein,
M
protein,
E
N
protein
non-structural
proteins)
antibodies
as
potential
tool
COVID-19.
This
structural
components
SARS-CoV-2,
their
binding
regions
bioreceptors
used
recognizing
components.
types
clinical
specimens
investigated
POC
is
also
highlighted.
importance
nanotechnology
artificial
intelligence
(AI)
approaches
in
improving
biosensor
performance
real-time
reagent-free
monitoring
summarized.
encompasses
existing
practical
challenges
prospects
developing
new
The Clinical Respiratory Journal,
Journal Year:
2024,
Volume and Issue:
18(5)
Published: May 1, 2024
Abstract
Long
COVID,
or
post‐acute
sequelae
of
COVID‐19
(PASC),
represents
a
complex
condition
with
persistent
symptoms
following
SARS‐Cov‐2
infection.
The
include
fatigue,
dyspnoea,
cognitive
impairment,
decreased
quality
life
in
variable
levels
severity.
Potential
mechanisms
behind
long
COVID
vascular
damage,
immune
dysregulation
and
viral
persistence.
Diagnosing
involves
medical
evaluation
by
multidisciplinary
team
assessment
scoring
systems
development.
Treatment
strategies
are
symptom‐focused,
encompassing
care,
rehabilitation
tailored
exercise
programmes.
Pulmonary
rehabilitation,
an
effective
critical
component
management,
has
shown
promise,
particularly
for
patients
respiratory
such
as
dyspnoea.
These
programmes,
which
combine
exercise,
breathing
techniques,
education
psychological
support,
improve
symptoms,
overall
recovery.
Innovative
technologies,
telemedicine,
wearable
devices,
telerehabilitation,
transforming
management.
Telemedicine
facilitates
consultations
interventions,
eliminating
healthcare
access
barriers.
Wearable
devices
enable
remote
continuous
monitoring
during
their
activities.
Telerehabilitation
proven
to
be
safe
feasible
have
high
potential
This
review
provides
concise
overview
its
definition,
prevalence,
mechanisms,
clinical
manifestations,
diagnosis
management
approaches.
It
emphasizes
the
significance
approach
treatment
focus
on
pulmonary
innovative
technology
advances
effectively
address
COVID.
