International Journal of Pharmaceutics,
Journal Year:
2024,
Volume and Issue:
652, P. 123741 - 123741
Published: Jan. 3, 2024
Artificial
intelligence
(AI)
is
a
revolutionary
technology
that
finding
wide
application
across
numerous
sectors.
Large
language
models
(LLMs)
are
an
emerging
subset
of
AI
and
have
been
developed
to
communicate
using
human
languages.
At
their
core,
LLMs
trained
with
vast
amounts
information
extracted
from
the
internet,
including
text
images.
Their
ability
create
human-like,
expert
in
almost
any
subject
means
they
increasingly
being
used
as
aid
presentation,
particularly
scientific
writing.
However,
we
wondered
whether
could
go
further,
generating
original
research
preparing
results
for
publication.
We
tasked
GPT-4,
LLM,
write
pharmaceutics
manuscript,
on
topic
itself
novel.
It
was
able
conceive
hypothesis,
define
experimental
protocol,
produce
photo-realistic
images
printlets,
generate
believable
analytical
data
range
instruments
convincing
publication-ready
manuscript
evidence
critical
interpretation.
The
model
achieved
all
this
less
than
1h.
Moreover,
generated
were
multi-modal
nature,
thermal
analyses,
vibrational
spectroscopy
dissolution
testing,
demonstrating
multi-disciplinary
expertise
LLM.
One
area
which
failed,
however,
referencing
literature.
Since
appeared
though,
suggest
certainly
play
role
but
input,
interpretation
validation.
discuss
potential
benefits
current
bottlenecks
realising
ambition
here.
Biophysics Reviews,
Journal Year:
2024,
Volume and Issue:
5(3)
Published: July 19, 2024
3D
bioprinting
techniques
enable
the
precise
deposition
of
living
cells,
biomaterials,
and
biomolecules,
emerging
as
a
promising
approach
for
engineering
functional
tissues
organs.
Meanwhile,
recent
advances
in
researchers
to
build
vitro
models
with
finely
controlled
complex
micro-architecture
drug
screening
disease
modeling.
Recently,
artificial
intelligence
(AI)
has
been
applied
different
stages
bioprinting,
including
medical
image
reconstruction,
bioink
selection,
printing
process,
both
classical
AI
machine
learning
approaches.
The
ability
handle
datasets,
make
computations,
learn
from
past
experiences,
optimize
processes
dynamically
makes
it
an
invaluable
tool
advancing
bioprinting.
review
highlights
current
integration
discusses
future
approaches
harness
synergistic
capabilities
developing
personalized
Smart Materials and Structures,
Journal Year:
2025,
Volume and Issue:
34(2), P. 025029 - 025029
Published: Jan. 9, 2025
Abstract
This
paper
presents,
for
the
first
time,
concept
of
four-dimensional
(4D)
printing
actuators
that
are
designed
using
a
generative
artificial
intelligence
(AI)
tool.
The
AI
tool
used
in
this
work
is
Ideogram,
which
text-to-image
allows
creating
images
based
on
user’s
prompts.
These
prompts
carefully
formulated
to
assess
ability
Ideogram
generate
designs
have
uniform
shapes
with
infill
patterns,
nonuniform
and
patterns.
Two
address
each
case
different
way,
adding
up
total
six
Each
prompt
four
as
designs.
process
followed
by
extracting
design’s
path
Inkscape
exporting
it
SolidWorks.
design
then
sliced
two
approaches
via
Simplify3D,
leads
development
48
method
prints
passive
parts
actuator
100%
active
0%
(except
single
outline
perimeter),
while
second
uses
both
parts.
4D
printed
from
polylactic
acid
(PLA)
fused
deposition
modeling
activated
hot
water.
bending
performance
PLA
characterized
Kinovea.
cause
be
significantly
altered.
Therefore,
angles
these
range
9.3°
72.8°,
directions
0°
170°.
developed
demonstrate
complex
due
randomness
induced
strain
during
process.
results
illustrate
proposed
promising
various
types
applications
require
developing
creative
designs,
offering
new
possibilities
where
standard
methods
may
fall
short.
Pharmaceutics,
Journal Year:
2025,
Volume and Issue:
17(3), P. 390 - 390
Published: March 19, 2025
Three-dimensional
printing
technology
is
transforming
pharmaceutical
manufacturing
by
shifting
from
conventional
mass
production
to
additive
manufacturing,
with
a
strong
emphasis
on
personalized
medicine.
The
integration
of
bioinks
and
AI-driven
optimization
further
enhancing
this
innovation,
enabling
drug
precise
dosages,
tailored
drug-release
profiles,
unique
multi-drug
combinations
that
respond
individual
patient
needs.
This
advancement
significantly
impacting
healthcare
accelerating
development,
encouraging
innovative
designs,
treatment
efficacy.
Traditional
follows
one-size-fits-all
approach,
which
often
fails
meet
the
specific
requirements
patients
medical
conditions.
In
contrast,
3D
printing,
coupled
bioink
formulations,
allows
for
on-demand
production,
reducing
dependency
large-scale
storage.
AI-powered
design
process
refine
dosage
forms,
printability,
release
mechanisms,
ensuring
precision
efficiency
in
manufacturing.
These
advancements
have
potential
lower
overall
costs
while
improving
adherence
medication
regimens.
review
explores
potential,
challenges,
environmental
benefits
positioning
it
as
key
driver
next-generation
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials,
Journal Year:
2025,
Volume and Issue:
166, P. 106949 - 106949
