AI-Optimized Lattice Structures for Biomechanics Scaffold Design
Biomimetics,
Journal Year:
2025,
Volume and Issue:
10(2), P. 88 - 88
Published: Feb. 1, 2025
This
research
paper
explores
the
development
of
AI-optimized
lattice
structures
for
biomechanics
scaffold
design,
aiming
to
enhance
bone
implant
functionality
by
utilizing
advanced
human–AI
systems.
The
primary
objective
is
create
that
mimic
mechanical
properties
natural
and
improve
bioactivity
biocompatibility,
adapting
patient-specific
needs.
We
employed
polylactic
acid
(PLA),
calcium
hydroxyapatite
(cHAP),
reduced
graphene
oxide
(rGO)
as
base
materials,
leveraging
their
synergistic
properties.
scaffolds
were
intricately
designed
using
nTopology
software
(nTop
5.12)
fabricated
via
3D
printing
techniques,
optimizing
biomechanical
load-bearing
cellular
integration.
study’s
findings
highlight
a
notable
enhancement
in
scaffolds,
with
Gyroid
design
demonstrating
20%
higher
energy-absorption
capacity
than
traditional
designs.
Thermal
chemical
analysis
revealed
15%
increase
thermal
stability
composites,
enhancing
resilience
under
physiological
conditions.
However,
identified
minor
inconsistencies
filament
diameter
during
printing,
which
could
affect
uniformity.
These
underscore
potential
integrating
AI-driven
material
composites
revolutionizing
orthopedic
technologies.
Language: Английский
Aging, vascular dysfunction, and the blood–brain barrier: unveiling the pathophysiology of stroke in older adults
Saleh I. Alaqel,
No information about this author
Mohd Imran,
No information about this author
Abida Khan
No information about this author
et al.
Biogerontology,
Journal Year:
2025,
Volume and Issue:
26(2)
Published: March 5, 2025
Language: Английский
Advanced Robotics for the Next-Generation of Cardiac Interventions
Micromachines,
Journal Year:
2025,
Volume and Issue:
16(4), P. 363 - 363
Published: March 22, 2025
With
an
increasing
number
of
elderly
individuals,
the
demand
for
advanced
technologies
to
treat
cardiac
diseases
has
become
more
critical
than
ever.
Additionally,
there
is
a
pressing
need
reduce
learning
curve
interventionalists
keep
pace
with
rapid
development
new
types
procedures
and
devices
expand
adoption
established
in
hospitals.
This
comprehensive
review
aims
shed
light
on
recent
advancements
novel
robotic
systems
interventions.
To
do
so,
this
provides
brief
overview
history
previously
developed
describes
necessity
interventions
address
technological
limitations
current
systems.
Moreover,
explores
potential
cutting-edge
methods
developing
next
generation
intra-procedure
autonomous
navigation.
Each
highlighted
topic
undergoes
analysis
evaluate
its
technical
challenges
that
must
be
addressed
successful
clinical
implementation.
Language: Английский
The Vaso-Occlusive Pain Crisis in Sickle Cell Patients: A Focus on Pathogenesis
Fatemeh Javaherforooshzadeh,
No information about this author
Azadeh Fateh,
No information about this author
Hedieh Saffari
No information about this author
et al.
Current Research in Translational Medicine,
Journal Year:
2025,
Volume and Issue:
unknown, P. 103512 - 103512
Published: March 1, 2025
Language: Английский
Magnetic Continuum Robot for Intelligent Manipulation in Medical Applications
Yuntao Ma,
No information about this author
Xuanyu An,
No information about this author
Qijun Yang
No information about this author
et al.
Published: April 3, 2025
ABSTRACT
Magnetic
continuum
robots
(MCRs)
have
garnered
substantial
attention
as
a
new
class
of
flexible
robotic
systems
capable
navigating
complex
and
confined
spaces
with
remarkable
dexterity.
By
combining
continuous,
deformable
structures
remotely
applied
magnetic
fields,
MCRs
achieve
contactless,
remote
manipulation,
making
them
well‐suited
for
medical
applications.
This
review
introduces
recent
advances
in
MCR
research,
focusing
on
design
principles,
structural
configurations,
control
strategies.
Various
designs
structures,
including
those
integrated
permanent
magnets,
matter,
ferromagnetic
sphere,
micro
coil,
are
discussed.
Furthermore,
different
actuation
platforms
introduced,
the
level
automation
is
classified
based
Key
intelligent
manipulation
capabilities
MCRs,
navigation,
delivery,
printing,
grasping,
imaging,
sensing
explored.
Finally,
future
development
priorities
directions
identified
to
provide
insights
advancing
systems.
Language: Английский