Advanced AI Applications for Drug Discovery
Advances in medical technologies and clinical practice book series,
Год журнала:
2024,
Номер
unknown, С. 42 - 86
Опубликована: Апрель 26, 2024
Addressing
the
critical
challenge
of
lengthy
and
costly
drug
development,
this
chapter
illuminates
transformative
role
advanced
artificial
intelligence
(AI)
in
discovery.
It
aims
to
dissect
impact
AI
methodologies
streamlining
these
traditionally
complex
processes.
This
begins
by
highlighting
inefficiencies
conventional
discovery
methods,
emphasizing
their
resource-intensive
nature.
An
in-depth
discussion
how
technologies
are
revolutionizing
identification
novel
targets,
optimizing
molecular
structures
candidates,
accurately
predicting
efficacy
toxicity
is
needed.
exploration
underscores
AI's
dual
advantages:
significantly
reducing
development
timelines
expenses
while
simultaneously
enhancing
precision
predictions,
leading
safer
more
effective
drugs.
concludes
with
a
vision
future
where
AI-driven
methods
fully
integrated
personalized
medicine
genomics,
signaling
onset
new
era
healthcare
therapeutic
innovation.
Язык: Английский
Strategic Management of AI-Enhanced Alzheimer's Disease Prediction Models
Advances in medical technologies and clinical practice book series,
Год журнала:
2024,
Номер
unknown, С. 131 - 146
Опубликована: Июнь 28, 2024
This
chapter
examines
the
strategic
management
of
AI-more
desirable
Alzheimer's
disease
prediction
models.
As
AI
generation
keeps
boosting,
there's
a
growing
use
in
healthcare,
particular
inside
early
detection
and
ailment.
But
those
raise
important
ethical
regulatory
worries
as
fashions
have
potential
to
affect
patient
care
lift
questions
about
facts
privateness
knowledgeable
consent.
explores
current
kingdom
AI-advanced
fashions,
their
capability
benefits
dangers,
moral
challenges
they
pose.
It
also
gives
tips
for
control
this
swiftly
evolving
panorama,
including
want
obvious
practices,
collaboration
among
stakeholders,
proactive
engagement
with
bodies.
With
aid
addressing
these
problems,
we're
able
make
sure
that
disorder
models
are
effectively
included
into
healthcare
even
upholding
standards.
Язык: Английский
AI in Predictive Toxicology
Advances in medical technologies and clinical practice book series,
Год журнала:
2024,
Номер
unknown, С. 79 - 134
Опубликована: Сен. 14, 2024
The
field
of
toxicology
is
undergoing
a
significant
transformation
due
to
the
integration
artificial
intelligence
(AI).
In
addition
traditional
reliance
on
empirical
studies
and
animal
testing,
AI-powered
predictive
now
used
predict
toxic
effects
chemicals
drugs.
This
chapter
examines
role
AI
in
enhancing
accuracy,
efficiency,
breadth
toxicological
assessments
by
bridging
gap
between
approaches
advanced
techniques.
It
explores
various
methodologies,
such
as
machine
learning,
deep
neural
networks,
focusing
their
application
toxicity
prediction.
Furthermore,
this
investigates
with
databases
development
validation
models.
also
addresses
challenges
associated
toxicology,
including
data
quality,
model
interpretability,
scalability.
concludes
that
despite
facing
challenges,
powerful
tool
modern
analysis.
Язык: Английский
The Science of Human Skin
Advances in chemical and materials engineering book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 36
Опубликована: Окт. 25, 2024
The
appearance
and
health
of
the
skin,
body's
largest
organ,
significantly
influence
an
individual's
perceived
attractiveness.
It
appears
healthy
when
it
glows
seems
aged
turns
rough
becomes
susceptible
to
diseases.
For
this
reason,
comprehension
science
behind
human
skin
is
way
create
cosmeceuticals
that
bridge
gap
between
cosmetics
pharmaceuticals.
This
chapter
aims
provide
all
details
skin's
anatomy,
its
cellular
composition
by
layers,
important
processes,
main
external
stimuli
with
which
as
a
barrier,
interacts.
also
discusses
recent
dermatology
findings
innovative
technologies
have
aided
in
advancement
cosmeceuticals.
To
summarize,
above
are
key
elements
on
physiology,
biological
function
skin.
Язык: Английский
Anti-Wrinkle Natural Cosmeceuticals
Advances in chemical and materials engineering book series,
Год журнала:
2024,
Номер
unknown, С. 299 - 334
Опубликована: Окт. 25, 2024
The
increasing
demand
for
youthful,
radiant
skin
has
driven
the
skincare
industry
to
innovate,
particularly
through
development
of
natural
cosmeceuticals.
This
chapter
explains
efficacy
these
products,
focusing
on
their
capacity
reduce
wrinkles—a
primary
sign
aging.
authors
examine
clinical
trials
and
case
studies
understand
cellular
molecular
mechanisms
by
which
ingredients
contribute
health
anti-wrinkle
effects.
Additionally,
address
challenges
related
stability
compatibility
in
formulations,
alongside
alignment
with
consumer
preferences
market
trends.
concludes
assessing
potential
benefits
cosmeceuticals
antiaging
treatments
identifying
key
areas
future
research.
goal
presented
is
advance
science
pragmatically
leveraging
research
enhance
product
development.
Язык: Английский