Healthcare,
Journal Year:
2024,
Volume and Issue:
12(5), P. 562 - 562
Published: Feb. 28, 2024
The
healthcare
sector
is
faced
with
challenges
due
to
a
shrinking
workforce
and
rise
in
chronic
diseases
that
are
worsening
demographic
epidemiological
shifts.
Digital
health
interventions
include
artificial
intelligence
(AI)
being
identified
as
some
of
the
potential
solutions
these
challenges.
ultimate
aim
AI
systems
improve
patient’s
outcomes
satisfaction,
overall
population’s
health,
well-being
professionals.
applications
services
vast
expected
assist,
automate,
augment
several
services.
Like
any
other
emerging
innovation,
also
comes
its
own
risks
requires
regulatory
controls.
A
review
literature
was
undertaken
study
existing
landscape
for
developed
nations.
In
global
landscape,
most
regulations
revolve
around
Software
Medical
Device
(SaMD)
regulated
under
digital
products.
However,
it
necessary
note
current
may
not
suffice
AI-based
technologies
capable
working
autonomously,
adapting
their
algorithms,
improving
performance
over
time
based
on
new
real-world
data
they
have
encountered.
Hence,
convergence
healthcare,
similar
voluntary
code
conduct
by
US-EU
Trade
Technology
Council,
would
be
beneficial
all
nations,
developing
or
developed.
Military Medical Research,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Jan. 23, 2024
Abstract
Antimicrobial
resistance
is
a
global
public
health
threat,
and
the
World
Health
Organization
(WHO)
has
announced
priority
list
of
most
threatening
pathogens
against
which
novel
antibiotics
need
to
be
developed.
The
discovery
introduction
are
time-consuming
expensive.
According
WHO’s
report
antibacterial
agents
in
clinical
development,
only
18
have
been
approved
since
2014.
Therefore,
critically
needed.
Artificial
intelligence
(AI)
rapidly
applied
drug
development
its
recent
technical
breakthrough
dramatically
improved
efficiency
antibiotics.
Here,
we
first
summarized
recently
marketed
antibiotics,
antibiotic
candidates
development.
In
addition,
systematically
reviewed
involvement
AI
utilization,
including
small
molecules,
antimicrobial
peptides,
phage
therapy,
essential
oils,
as
well
mechanism
prediction,
stewardship.
Artificial Intelligence Chemistry,
Journal Year:
2023,
Volume and Issue:
2(1), P. 100039 - 100039
Published: Dec. 19, 2023
Artificial
intelligence
(AI)
is
revolutionizing
the
current
process
of
drug
design
and
development,
addressing
challenges
encountered
in
its
various
stages.
By
utilizing
AI,
efficiency
significantly
improved
through
enhanced
precision,
reduced
time
cost,
high-performance
algorithms
AI-enabled
computer-aided
(CADD).
Effective
screening
techniques
are
crucial
for
identifying
potential
hit
compounds
from
large
volumes
data
compound
repositories.
The
inclusion
AI
discovery,
including
lead
molecules,
has
proven
to
be
more
effective
than
traditional
vitro
assays.
This
articlereviews
advancements
methods
achieved
AI-enhanced
applications,
machine
learning
(ML),
deep
(DL)
algorithms.
It
specifically
focuses
on
applications
discovery
phase,
exploring
strategies
optimization
such
as
Quantitative
structure-activity
relationship
(QSAR)
modeling,
pharmacophore
de
novo
designing,
high-throughput
virtual
screening.
Valuable
insights
into
different
aspects
discussed,
highlighting
role
AI-based
tools,
pipelines,
case
studies
simplifying
complexities
associated
with
discovery.
Chemical Science,
Journal Year:
2024,
Volume and Issue:
15(13), P. 4618 - 4630
Published: Jan. 1, 2024
This
article
defines
the
role
that
continuous
flow
chemistry
can
have
in
new
reaction
discovery,
thereby
creating
molecular
assembly
opportunities
beyond
our
current
capabilities.
Most
notably
focus
is
based
upon
photochemical,
electrochemical
and
temperature
sensitive
processes
where
methods
machine
assisted
processing
significant
impact
on
chemical
reactivity
patterns.
These
platforms
are
ideally
placed
to
exploit
future
innovation
data
acquisition,
feed-back
control
through
artificial
intelligence
(AI)
learning
(ML)
techniques.
Nano-Micro Letters,
Journal Year:
2024,
Volume and Issue:
16(1)
Published: June 13, 2024
In
recent
years,
breakthrough
has
been
made
in
the
field
of
artificial
intelligence
(AI),
which
also
revolutionized
industry
robotics.
Soft
robots
featured
with
high-level
safety,
less
weight,
lower
power
consumption
have
always
one
research
hotspots.
Recently,
multifunctional
sensors
for
perception
soft
robotics
rapidly
developed,
while
more
algorithms
and
models
machine
learning
high
accuracy
optimized
proposed.
Designs
AI
advanced
ranging
from
multimodal
sensing,
human–machine
interaction
to
effective
actuation
robotic
systems.
Nonetheless,
comprehensive
reviews
concerning
new
developments
strategies
ingenious
design
systems
equipped
are
rare.
Here,
development
is
systematically
reviewed
AI.
First,
background
mechanisms
briefed,
after
focused
on
how
endow
AI,
including
aspects
feeling,
thought
reaction,
illustrated.
Next,
applications
summarized
discussed
together
proposed
performance
enhancement.
Design
thoughts
future
intelligent
pointed
out.
Finally,
some
perspectives
put
forward.
Nano TransMed,
Journal Year:
2024,
Volume and Issue:
3, P. 100041 - 100041
Published: July 9, 2024
Artificial
Intelligence
(AI)
and
Nanotechnology
are
two
cutting-edge
fields
that
hold
immense
promise
for
revolutionizing
various
aspects
of
science,
technology,
everyday
life.
This
review
delves
into
the
intersection
these
disciplines,
highlighting
synergistic
relationship
between
AI
Nanotechnology.
It
explores
how
techniques
such
as
machine
learning,
deep
neural
networks
being
employed
to
enhance
efficiency,
precision,
scalability
nanotechnology
applications.
Furthermore,
it
discusses
challenges,
opportunities,
future
prospects
integrating
with
nanotechnology,
paving
way
transformative
advancements
in
diverse
domains
ranging
from
healthcare
materials
science
environmental
sustainability
beyond.
