Understanding the Mechanism of Microplastic-Associated Antibiotic Resistance Genes in Aquatic Ecosystems: Insights from Metagenomic Analyses and Machine Learning
Tengyi Zhu,
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Shuyin Li,
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Cuicui Tao
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et al.
Water Research,
Journal Year:
2024,
Volume and Issue:
268, P. 122570 - 122570
Published: Oct. 2, 2024
Language: Английский
Tackling the Antimicrobial Resistance “Pandemic” with Machine Learning Tools: A Summary of Available Evidence
Microorganisms,
Journal Year:
2024,
Volume and Issue:
12(5), P. 842 - 842
Published: April 23, 2024
Antimicrobial
resistance
is
recognised
as
one
of
the
top
threats
healthcare
bound
to
face
in
future.
There
have
been
various
attempts
preserve
efficacy
existing
antimicrobials,
develop
new
and
efficient
manage
infections
with
multi-drug
resistant
strains,
improve
patient
outcomes,
resulting
a
growing
mass
routinely
available
data,
including
electronic
health
records
microbiological
information
that
can
be
employed
individualised
antimicrobial
stewardship.
Machine
learning
methods
developed
predict
from
whole-genome
sequencing
forecast
medication
susceptibility,
recognise
epidemic
patterns
for
surveillance
purposes,
or
propose
antibacterial
treatments
accelerate
scientific
discovery.
Unfortunately,
there
an
evident
gap
between
number
machine
applications
science
effective
implementation
these
systems.
This
narrative
review
highlights
some
outstanding
opportunities
offers
when
applied
research
related
resistance.
In
future,
tools
may
prove
superbugs'
kryptonite.
aims
provide
overview
publications
aid
researchers
are
looking
expand
their
work
approaches
acquaint
them
current
application
techniques
this
field.
Language: Английский
A multi-channel electrochemical biosensor based on polyadenine tetrahedra for the detection of multiple drug resistance genes
Yanan Song,
No information about this author
Jun Feng,
No information about this author
Xueming Wang
No information about this author
et al.
The Analyst,
Journal Year:
2024,
Volume and Issue:
149(12), P. 3425 - 3432
Published: Jan. 1, 2024
PolyA-TDF
enables
PCR-free
qualitative
detection
of
drug-resistant
genes,
integrating
biosensor
recognition
and
probe
immobilization
via
strong
adsorption
to
gold.
Language: Английский
A New Insight into Phage Combination Therapeutic Approaches Against Drug-Resistant Mixed Bacterial Infections
PHAGE,
Journal Year:
2024,
Volume and Issue:
5(4), P. 203 - 222
Published: Oct. 17, 2024
Rising
antibiotic
resistance
among
bacterial
pathogens
has
become
a
substantial
health
issue
for
human
civilization.
The
emergence
of
these
in
high-risk
diseases
such
as
cystic
fibrosis
(CF)
led
to
financial
and
nonfinancial
losses,
necessitating
alternative
therapies.
This
study
presents
an
overview
approaches,
including
phage
therapy,
antimicrobial
peptides
(AMPs),
nanotechnology,
monoclonal
antibodies
(mAbs),
microbial
therapies
(probiotic
therapy),
clustered
regularly
interspaced
short
palindromic
repeats
technology
(CRISPR),
aptamers
focusing
on
their
mechanisms
action
exploring
the
impact
combining
derivatives
with
mentioned
approaches.
Although
approaches
combinations
phages
show
promise,
phage-antibiotic
combination
been
subject
most
studies,
It
proven
be
highly
effective
combating
antibiotic-resistant
infections.
Other
also
appear
promising,
but
further
studies
are
needed
determine
effectiveness.
emphasizes
need
more
thorough
research
into
different
treatments
beyond
well-established
strategy.
Language: Английский