Advances in artificial intelligence for drug delivery and development: A comprehensive review
Computers in Biology and Medicine,
Journal Year:
2024,
Volume and Issue:
178, P. 108702 - 108702
Published: June 7, 2024
Language: Английский
Overview of 3d Printing Technology with Pharmaceutical Applications, Challenges and Future Aspects
Vanshika Sautha,
No information about this author
Mansi Butola,
No information about this author
Meenu Chaudhary
No information about this author
et al.
Biomedical & Pharmacology Journal,
Journal Year:
2025,
Volume and Issue:
18(December Spl Edition), P. 17 - 32
Published: Jan. 20, 2025
Since
its
beginnings
in
the
1980s,
3D
printing
has
transformed
several
research
areas,
including
pharmaceutical
sector.
The
primary
objective
is
to
manufacture
complex,
customized
products
using
a
cost-effective,
on-demand
manufacturing
process.
In
past
decade,
gained
interest
of
groups
for
development
various
drug
delivery
systems.
Advantages
technologies
over
traditional
procedures
include
modification
pharmaceuticals
with
dosages,
capability
produce
complex
solid
dosage
forms,
manufacturing,
and
cost
efficiency.
Nonetheless,
although
technology
potential
medical
economic
advantages,
some
technological
regulatory
obstacles
limit
wide
application
products.
Thus,
further
innovation
refinement
processes
must
address
existing
limitations
provide
patient-specific
healthcare
drugs
on
demand.
This
review
presents
useful
their
treatment
disorders,
demonstrating
this
regular
commercial
production.
Language: Английский
The Future of Medicine: How 3D Printing Is Transforming Pharmaceuticals
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
Language: Английский
Drug delivery strategies to improve the treatment of corneal disorders
Mahsa Fallah Tafti,
No information about this author
Zeinab Fayyaz,
No information about this author
Hossein Aghamollaei
No information about this author
et al.
Heliyon,
Journal Year:
2025,
Volume and Issue:
11(2), P. e41881 - e41881
Published: Jan. 1, 2025
Anterior
eye
disorders
including
dry
syndrome,
keratitis,
chemical
burns,
and
trauma
have
varying
prevalence
rates
in
the
world.
Classical
dosage
forms
based-topical
ophthalmic
drugs
are
popular
treatments
for
managing
corneal
diseases.
However,
current
of
ocular
can
be
associated
with
major
challenges
such
as
short
retention
time
presence
barriers.
Developing
alternative
therapeutic
methods
is
required
to
overcome
drug
bioavailability
from
Nanocarriers
platforms
promising
candidates
administration
an
adjustable
manner.
This
paper
briefly
introduces
advantages,
disadvantages,
characteristics
delivery
systems
treatment
Additionally,
advanced
technologies
3D
printing
being
considered
fabricate
carriers
determine
dosages
personalized
treatment.
comprehensive
review
gathered
through
multiple
databases
Google
Scholar,
PubMed,
Web
Science.
It
explores
information
around
"ocular
systems'',
"nano-based
"engineered
nanocarriers'',
"advanced
systems''.
Language: Английский
AN OVERVIEW OF 3D PRINTING TECHNOLOGIES FOCUSING MULTIDRUG-LOADED 3D PRINTED DOSAGE FORMS
Ankara Universitesi Eczacilik Fakultesi Dergisi,
Journal Year:
2025,
Volume and Issue:
49(1), P. 28 - 28
Published: Jan. 11, 2025
Objective:
This
review
focuses
on
multidrug-loaded
dosage
forms
produced
with
three-dimensional
printing
(3DP)
technologies
since
the
confirmation
of
Spritam®,
first
3D
printed
form,
in
2015.
Result
and
Discussion:
The
integration
multiple
drugs
within
a
single
form
through
3DP
offers
substantial
flexibility
design,
allowing
for
customization
dosage,
drug
release
profiles,
geometric
structures.
These
formulations
offer
significant
design
by
combining
different
unit,
have
potential
to
optimize
treatment
strategies,
especially
diseases
requiring
use.
wide
literature
search
reveals
that
most
commonly
used
method
is
Fused
Deposition
Modeling
(FDM)
obtain
various
geometries,
such
as
multi-compartment
capsules
or
tablets,
bi-layered
multi-layered
tablets
exhibiting
kinetics,
core/shell
structured
tablets.
Multidrug-loaded
3D-printed
individualizing
fixed-dose
combinations
become
promising
tool
advancing
personalized
medicine
improving
therapeutic
outcomes
polypharmacy.
innovative
approach
can
efficacy,
reduce
side
effects,
improve
patient
compliance.
As
research
continues
expand,
these
represent
direction
future
development
strategies.
Language: Английский
Use of Computational Intelligence in Customizing Drug Release from 3D-Printed Products: A Comprehensive Review
Pharmaceutics,
Journal Year:
2025,
Volume and Issue:
17(5), P. 551 - 551
Published: April 23, 2025
Computational
intelligence
(CI)
mimics
human
by
expanding
the
capabilities
of
machines
in
data
analysis,
pattern
recognition,
and
making
informed
decisions.
CI
has
shown
promising
contributions
to
advancements
drug
discovery,
formulation,
manufacturing.
Its
ability
analyze
vast
amounts
patient
optimize
formulations
predicting
pharmacokinetic
pharmacodynamic
responses
makes
it
a
very
useful
platform
for
personalized
medicine.
The
integration
with
3D
printing
further
strengthens
this
potential,
as
enables
fabrication
medicines
precise
doses,
controlled-release
profiles,
complex
formulations.
Furthermore,
automated
digital
make
suitable
CI.
proven
material
printability,
optimizing
release
rates,
designing
structures,
ensuring
quality
control,
improving
manufacturing
processes
printing.
In
context
customizing
from
3D-printed
products,
techniques
have
been
applied
predict
input
variables
design
geometries
that
achieve
desired
profile.
This
review
explores
role
It
provides
overview
limitations
printing;
how
can
overcome
these
challenges,
its
potential
release;
comparison
other
methods
optimization;
real-world
examples
Language: Английский
Explicating the transformative role of artificial intelligence in designing targeted nanomedicine
Masheera Akhtar,
No information about this author
Nida Nehal,
No information about this author
Azka Gull
No information about this author
et al.
Expert Opinion on Drug Delivery,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 5, 2025
Artificial
intelligence
(AI)
has
emerged
as
a
transformative
force
in
nanomedicine.
revolutionizing
drug
delivery,
diagnostics,
and
personalized
treatment.
While
nanomedicine
offers
precise
targeted
delivery
reduced
toxic
effects,
its
clinical
translation
is
hindered
by
biological
complexity,
unpredictable
vivo
behavior,
inefficient
trial-and-error
approaches.
This
review
covers
the
application
of
AI
Machine
Learning
(ML)
across
development
pipeline,
starting
from
target
identification
to
nanoparticle
design,
toxicity
prediction,
dosing.
Different
AI/ML
models
like
QSAR,
MTK-QSBER,
Alchemite,
along
with
data
sources
high-throughput
screening
methods,
have
been
explored.
Real-world
applications
are
critically
discussed,
including
AI-assisted
repurposing,
controlled-release
formulations,
cancer-specific
systems.
an
essential
component
designing
next-generation
Efficiently
handling
multidimensional
datasets,
optimizing
personalizing
treatment
regimens,
it
sped
up
innovation
process.
However,
challenges
heterogeneity,
model
transparency,
regulatory
gaps
remain.
Addressing
these
hurdles
through
interdisciplinary
efforts
emerging
innovations
explainable
federated
learning
will
pave
way
for
AI-driven
Language: Английский
3D printing for controlled release Pharmaceuticals: Current trends and future directions
Mingyue Deng,
No information about this author
Siyi Wu,
No information about this author
Meiying Ning
No information about this author
et al.
International Journal of Pharmaceutics,
Journal Year:
2024,
Volume and Issue:
669, P. 125089 - 125089
Published: Dec. 16, 2024
Language: Английский
Improvement of solubility, dissolution, and bioavailability of phenytoin intercalated in Mg-Al layered double hydroxide
Rehab Anwar Bakr,
No information about this author
Sabna Kotta,
No information about this author
Hibah Mubarak Aldawsari
No information about this author
et al.
Frontiers in Pharmacology,
Journal Year:
2024,
Volume and Issue:
15
Published: Aug. 2, 2024
Layered
double
hydroxides
(LDHs)
are
highly
effective
drug
delivery
systems,
owing
to
their
capacity
intercalate
or
adsorb
biomaterials,
flexible
structure,
swelling
property,
high
stability,
good
biocompatibility,
and
ease
of
synthesis.
Phenytoin
(PHT)
is
an
antiseizure
BCS
(Biopharmaceutics
Classification
System)
class
II
drug,
presenting
low
aqueous
solubility.
Therefore,
the
current
study
aimed
at
increasing
its
solubility,
dissolution,
bioavailability.
PHT
was
intercalated
MgAl-LDH
formed
Language: Английский