The
diagnosis
is
an
important
factor
in
healthcare
care,
and
it
essential
to
identify
microorganisms
that
cause
infections
diseases.
application
of
artificial
intelligence
(AI)
systems
can
improve
disease
management,
drug
development,
antibiotic
resistance
prediction,
epidemiological
monitoring
the
field
microbial
diagnosis.
AI
quickly
accurately
detect
infections,
including
new
drug-resistant
strains,
enable
early
detection
improved
diagnostic
techniques.
bacterial
focuses
on
speed,
precision,
identification
pathogens
ability
predict
resistance.
Pharmaceuticals,
Год журнала:
2023,
Номер
16(11), С. 1615 - 1615
Опубликована: Ноя. 15, 2023
Antibiotics
have
revolutionized
medicine,
saving
countless
lives
since
their
discovery
in
the
early
20th
century.
However,
origin
of
antibiotics
is
now
overshadowed
by
alarming
rise
antibiotic
resistance.
This
global
crisis
stems
from
relentless
adaptability
microorganisms,
driven
misuse
and
overuse
antibiotics.
article
explores
subsequent
emergence
It
delves
into
mechanisms
employed
bacteria
to
develop
resistance,
highlighting
dire
consequences
drug
including
compromised
patient
care,
increased
mortality
rates,
escalating
healthcare
costs.
The
elucidates
latest
strategies
against
drug-resistant
encompassing
innovative
approaches
such
as
phage
therapy,
CRISPR-Cas9
technology,
exploration
natural
compounds.
Moreover,
it
examines
profound
impact
resistance
on
development,
rendering
pursuit
new
economically
challenging.
limitations
challenges
developing
novel
are
discussed,
along
with
hurdles
regulatory
process
that
hinder
progress
this
critical
field.
Proposals
for
modifying
facilitate
development
presented.
withdrawal
major
pharmaceutical
firms
research
examined,
potential
re-engage
interest.
also
outlines
initiatives
overcome
economic
incentivize
emphasizing
international
collaborations
partnerships.
Finally,
sheds
light
government-led
a
specific
focus
Middle
East.
discusses
proactive
measures
taken
governments
region,
Saudi
Arabia
United
Arab
Emirates,
combat
threat.
In
face
multifaceted
approach
imperative.
provides
valuable
insights
complex
landscape
challenges,
collaborative
efforts
required
ensure
future
where
remain
effective
tools
safeguarding
public
health.
Journal of Medicine Surgery and Public Health,
Год журнала:
2024,
Номер
2, С. 100081 - 100081
Опубликована: Март 2, 2024
Antimicrobial
resistance
(AMR)
is
a
critical
global
health
issue
driven
by
antibiotic
misuse
and
overuse
in
various
sectors,
leading
to
the
emergence
of
resistant
microorganisms.
The
history
AMR
dates
back
discovery
penicillin,
with
rise
multidrug-resistant
pathogens
posing
significant
challenges
healthcare
systems
worldwide.
antibiotics
human
animal
health,
as
well
agriculture,
contributes
spread
genes,
creating
"Silent
Pandemic"
that
could
surpass
other
causes
mortality
2050.
affects
both
humans
animals,
treating
infections.
Various
mechanisms,
such
enzymatic
modification
biofilm
formation,
enable
microbes
withstand
effects
antibiotics.
lack
effective
threatens
routine
medical
procedures
lead
millions
deaths
annually
if
left
unchecked.
economic
impact
substantial,
projected
losses
trillions
dollars
financial
burdens
on
agriculture.
Artificial
intelligence
being
explored
tool
combat
improving
diagnostics
treatment
strategies,
although
data
quality
algorithmic
biases
exist.
To
address
effectively,
One
Health
approach
considers
human,
animal,
environmental
factors
crucial.
This
includes
enhancing
surveillance
systems,
promoting
stewardship
programs,
investing
research
development
for
new
antimicrobial
options.
Public
awareness,
education,
international
collaboration
are
essential
combating
preserving
efficacy
future
generations.
Frontiers in Artificial Intelligence,
Год журнала:
2022,
Номер
5
Опубликована: Сен. 29, 2022
Artificial
intelligence
has
been
prevalent
recently
as
its
use
in
the
medical
field
is
noticed
to
be
increased.
However,
middle
east
countries
like
Syria
are
deficient
multiple
AI
implementation
methods
of
medicine.
So,
holding
these
necessary,
which
may
incredibly
beneficial
for
making
diagnosis
more
accessible
and
help
treatment.
This
paper
intends
determine
AI's
knowledge,
attitude,
practice
among
doctors
students
Syria.
A
questionnaire
conducted
an
online
cross-sectional
study
on
google
form
website
consisting
demographic
data,
perception
AI.
There
were
1,494
responses
from
both
students.
We
included
Syrian
who
currently
residing
Of
participants,
255
(16.9%)
doctors,
while
other
1,252
(83.1%)
undergraduate
About
1,055
(70%)
participants
have
previous
knowledge
about
only
357
(23.7%)
know
application
field.
Most
shown
positive
attitudes
toward
necessity
field;
689
(45.7%)
individuals
strongly
agree,
628
(41.7%)
agree.
The
had
3.327
times
adequate
than
first
year.
In
contrast,
6th-year
2.868
attitude
higher
residents
assistant
professors
2.371
4.422
students,
respectively.
Although
most
physicians
do
not
sufficiently
understand
significance
field,
they
favorable
views
regarding
using
authorities
international
organizations
should
suggest
including
artificial
particularly
when
training
fellowship
physicians.
Antibiotics,
Год журнала:
2023,
Номер
12(3), С. 523 - 523
Опубликована: Март 6, 2023
Antimicrobial
resistance
(AMR)
is
emerging
as
a
potential
threat
to
many
lives
worldwide.
It
very
important
understand
and
apply
effective
strategies
counter
the
impact
of
AMR
its
mutation
from
medical
treatment
point
view.
The
intersection
artificial
intelligence
(AI),
especially
deep
learning/machine
learning,
has
led
new
direction
in
antimicrobial
identification.
Furthermore,
presently,
availability
huge
amounts
data
multiple
sources
made
it
more
use
these
techniques
identify
interesting
insights
into
genes
such
genes,
mutations,
drug
identification,
conditions
favorable
spread,
so
on.
Therefore,
this
paper
presents
review
state-of-the-art
challenges
opportunities.
These
include
input
features
posing
use,
deep-learning/machine-learning
models
for
robustness
high
accuracy,
challenges,
prospects
practical
purposes.
concludes
with
encouragement
AI
sector
intention
diagnosis
treatment,
since
presently
most
studies
are
at
early
stages
minimal
application
practice
disease.
Antibiotics,
Год журнала:
2024,
Номер
13(8), С. 746 - 746
Опубликована: Авг. 9, 2024
Antibiotic
resistance
emerged
shortly
after
the
discovery
of
first
antibiotic
and
has
remained
a
critical
public
health
issue
ever
since.
Managing
in
clinical
settings
continues
to
be
challenging,
particularly
with
rise
superbugs,
or
bacteria
resistant
multiple
antibiotics,
known
as
multidrug-resistant
(MDR)
bacteria.
This
rapid
development
compelled
researchers
continuously
seek
new
antimicrobial
agents
curb
resistance,
despite
shrinking
pipeline
drugs.
Recently,
focus
shifted
plants,
fungi,
lichens,
endophytes,
various
marine
sources,
such
seaweeds,
corals,
other
microorganisms,
due
their
promising
properties.
For
this
review,
an
extensive
search
was
conducted
across
scientific
databases,
including
PubMed,
Elsevier,
ResearchGate,
Scopus,
Google
Scholar,
encompassing
publications
from
1929
2024.
review
provides
concise
overview
mechanisms
employed
by
develop
followed
in-depth
exploration
plant
secondary
metabolites
potential
solution
MDR
pathogens.
In
recent
years,
interest
plant-based
medicines
surged,
driven
advantageous
However,
additional
research
is
essential
fully
understand
action
verify
safety
phytochemicals.
Future
prospects
for
enhancing
use
combating
antibiotic-resistant
pathogens
will
also
discussed.
Frontiers in Veterinary Science,
Год журнала:
2024,
Номер
11
Опубликована: Янв. 31, 2024
Artificial
intelligence
(AI)
is
a
fast-paced
technological
advancement
in
terms
of
its
application
to
various
fields
science
and
technology.
In
particular,
AI
has
the
potential
play
roles
veterinary
clinical
practice,
enhancing
way
care
delivered,
improving
outcomes
for
animals
ultimately
humans.
Also,
recent
years,
emergence
led
new
direction
biomedical
research,
especially
translational
research
with
great
potential,
promising
revolutionize
science.
applicable
antimicrobial
resistance
(AMR)
cancer
drug
design
vaccine
development,
epidemiology,
disease
surveillance,
genomics.
Here,
we
highlighted
discussed
impact
aspects
practice
proposing
this
technology
as
key
tool
addressing
pressing
global
health
challenges
across
domains.
Antibiotics,
Год журнала:
2024,
Номер
13(4), С. 307 - 307
Опубликована: Март 28, 2024
Antimicrobial
resistance
(AMR)
is
a
growing
public
health
problem
in
the
One
Health
dimension.
Artificial
intelligence
(AI)
emerging
healthcare,
since
it
helpful
to
deal
with
large
amounts
of
data
and
as
prediction
tool.
This
systematic
review
explores
use
AI
antimicrobial
stewardship
programs
(ASPs)
summarizes
predictive
performance
machine
learning
(ML)
algorithms,
compared
clinical
decisions,
inpatients
outpatients
who
need
prescriptions.
includes
eighteen
observational
studies
from
PubMed,
Scopus,
Web
Science.
The
exclusion
criteria
comprised
conducted
only
vitro,
not
addressing
infectious
diseases,
or
referencing
models
predictors.
Data
such
study
type,
year
publication,
number
patients,
objective,
ML
algorithms
used,
features,
predictors
were
extracted
included
publications.
All
concluded
that
useful
assist
teams
multiple
tasks
identifying
inappropriate
prescribing
practices,
choosing
appropriate
antibiotic
therapy,
predicting
AMR.
most
metric
was
AUC,
which
ranged
0.64
0.992.
Despite
risks
ethical
concerns
raises,
can
play
positive
promising
role
ASP.
Frontiers in Pharmacology,
Год журнала:
2024,
Номер
15
Опубликована: Авг. 16, 2024
Antibacterial
drug
resistance
poses
a
significant
challenge
to
modern
healthcare
systems,
threatening
our
ability
effectively
treat
bacterial
infections.
This
review
aims
provide
comprehensive
overview
of
the
types
and
mechanisms
antibacterial
resistance.
To
achieve
this
aim,
thorough
literature
search
was
conducted
identify
key
studies
reviews
on
mechanisms,
strategies
next-generation
antimicrobials
contain
antimicrobial
In
review,
major
with
examples
including
target
site
modifications,
decreased
influx,
increased
efflux
pumps,
enzymatic
inactivation
antibacterials
has
been
discussed.
Moreover,
biofilm
formation,
horizontal
gene
transfer
methods
also
included.
Furthermore,
measures
(interventions)
taken
control
have
discussed
in
detail.
Overall,
provides
valuable
insights
into
diverse
employed
by
bacteria
resist
effects
drugs,
aim
informing
future
research
guiding
stewardship
efforts.
npj Antimicrobials and Resistance,
Год журнала:
2025,
Номер
3(1)
Опубликована: Янв. 7, 2025
Artificial
intelligence
(AI)
has
transformed
infectious
disease
control,
enhancing
rapid
diagnosis
and
antibiotic
discovery.
While
conventional
tests
delay
diagnosis,
AI-driven
methods
like
machine
learning
deep
assist
in
pathogen
detection,
resistance
prediction,
drug
These
tools
improve
stewardship
identify
effective
compounds
such
as
antimicrobial
peptides
small
molecules.
This
review
explores
AI
applications
diagnostics,
therapy,
discovery,
emphasizing
both
strengths
areas
needing
improvement.
Biomimetics,
Год журнала:
2024,
Номер
9(3), С. 154 - 154
Опубликована: Март 1, 2024
The
incidence
of
microbial
infections
in
orthopedic
prosthetic
surgeries
is
a
perennial
problem
that
increases
morbidity
and
mortality,
representing
one
the
major
complications
such
medical
interventions.
emergence
novel
technologies,
especially
3D
printing,
represents
promising
avenue
development
for
reducing
risk
eventualities.
There
are
already
host
biomaterials,
suitable
being
tested
antimicrobial
properties
when
they
coated
with
bioactive
compounds,
as
antibiotics,
or
combined
hydrogels
antioxidant
properties,
chitosan
metal
nanoparticles,
among
others.
materials
discussed
context
this
paper
comprise
beta-tricalcium
phosphate
(β-TCP),
biphasic
calcium
(BCP),
hydroxyapatite,
lithium
disilicate
glass,
polyetheretherketone
(PEEK),
poly(propylene
fumarate)
(PPF),
poly(trimethylene
carbonate)
(PTMC),
zirconia.
While
recent
research
results
promising,
further
required
to
address
increasing
antibiotic
resistance
exhibited
by
several
common
pathogens,
potential
fungal
infections,
toxicity
some
nanoparticles.
Other
solutions,
like
incorporation
phytochemicals,
should
also
be
explored.
Incorporating
artificial
intelligence
(AI)
certain
implants
use
AI
against
bacterial
might
represent
viable
solutions
these
problems.
Finally,
there
legal
considerations
associated
biomaterials
widespread
which
must
taken
into
account.