Microbiome Dynamics: A Paradigm Shift in Combatting Infectious Diseases
Journal of Personalized Medicine,
Год журнала:
2024,
Номер
14(2), С. 217 - 217
Опубликована: Фев. 18, 2024
Infectious
diseases
have
long
posed
a
significant
threat
to
global
health
and
require
constant
innovation
in
treatment
approaches.
However,
recent
groundbreaking
research
has
shed
light
on
previously
overlooked
player
the
pathogenesis
of
disease-the
human
microbiome.
This
review
article
addresses
intricate
relationship
between
microbiome
infectious
unravels
its
role
as
crucial
mediator
host-pathogen
interactions.
We
explore
remarkable
potential
harnessing
this
dynamic
ecosystem
develop
innovative
strategies
that
could
revolutionize
management
diseases.
By
exploring
latest
advances
emerging
trends,
aims
provide
new
perspective
combating
by
targeting
Язык: Английский
DengueFog: A Fog Computing-Enabled Weighted Random Forest-Based Smart Health Monitoring System for Automatic Dengue Prediction
Diagnostics,
Год журнала:
2024,
Номер
14(6), С. 624 - 624
Опубликована: Март 15, 2024
Dengue
is
a
distinctive
and
fatal
infectious
disease
that
spreads
through
female
mosquitoes
called
Aedes
aegypti.
It
notable
concern
for
developing
countries
due
to
its
low
diagnosis
rate.
has
the
most
astounding
mortality
level
as
compared
other
diseases
tremendous
platelet
depletion.
Hence,
it
can
be
categorized
life-threatening
fever
same
class
of
fevers.
Additionally,
been
shown
dengue
shares
many
symptoms
flu-based
On
hand,
research
community
closely
monitoring
popular
fields
related
IoT,
fog,
cloud
computing
prediction
diseases.
cloud-based
technologies
are
used
constructing
number
health
care
systems.
Accordingly,
in
this
study,
DengueFog
system
was
created
based
on
fog
detection
sickness.
proposed
includes
weighted
random
forest
(WRF)
classifier
monitor
predict
infection.
The
system’s
efficacy
evaluated
using
data
This
dataset
gathered
between
2016
2018
from
several
hospitals
Delhi-NCR
region.
accuracy,
F-value,
recall,
precision,
error
rate,
specificity
metrics
were
assess
simulation
results
suggested
system.
demonstrated
with
WRF
outperforms
traditional
classifiers.
Язык: Английский
Biosensors and Wearable Technologies for Early Detection and Monitoring of Tropical Diseases
Health information science,
Год журнала:
2025,
Номер
unknown, С. 57 - 81
Опубликована: Янв. 1, 2025
Язык: Английский
Artificial intelligence (AI) in point-of-care testing
Clinica Chimica Acta,
Год журнала:
2025,
Номер
unknown, С. 120341 - 120341
Опубликована: Май 1, 2025
The
integration
of
artificial
intelligence
(AI)
into
point-of-care
testing
(POCT)
represents
a
transformative
leap
in
modern
healthcare,
addressing
critical
challenges
diagnostic
accuracy,
workflow
efficiency,
and
equitable
access.
While
POCT
has
revolutionized
decentralized
care
through
rapid
results,
its
potential
is
hindered
by
variability
hurdles,
resource
constraints.
AI
technologies-encompassing
machine
learning,
deep
natural
language
processing-offer
robust
solutions:
convolutional
neural
networks
improve
malaria
detection
sub-Saharan
Africa
to
95
%
sensitivity,
while
predictive
analytics
reduce
device
downtime
20
resource-limited
settings.
AI-driven
decision
support
systems
curtail
antibiotic
misuse
40
real-time
data
synthesis,
portable
devices
enable
anaemia
screening
rural
India
with
94
slashing
delays
from
weeks
hours.
Despite
these
advancements,
persist,
including
privacy
risks,
algorithmic
opacity,
infrastructural
gaps
low-
middle-income
countries.
Explainable
frameworks
blockchain
encryption
are
building
clinician
trust
ensuring
regulatory
compliance.
Future
directions
emphasize
the
convergence
Internet
Things
(IoT)
for
diagnostics,
as
demonstrated
AI-IoT
forecasting
dengue
outbreaks
14
days
advance.
Personalized
medicine,
powered
genomic
wearable
integration,
further
underscores
tailor
therapies,
reducing
cardiovascular
events
25
%.
Realizing
this
vision
demands
interdisciplinary
collaboration,
ethical
governance,
implementation
bridge
global
health
disparities.
By
harmonizing
innovation
accessibility,
AI-enhanced
emerges
cornerstone
proactive,
patient-centered
poised
democratize
diagnostics
drive
sustainable
equity
worldwide.
Язык: Английский