Brain
organoid
implications
have
opened
vast
avenues
in
the
realm
of
interdisciplinary
research,
particularly
growing
field
intelligence
(OI).
A
brain
is
a
three-dimensional
(3D),
lab-grown
structure
that
mimics
certain
aspects
human
organization
and
function.
The
integration
technology
with
computational
methods
to
enhance
understanding
behavior
predict
their
responses
various
stimuli
known
as
OI.
ability
organoids
adapt
memorize,
key
area
exploration.
OI
encapsulates
confluence
breakthroughs
stem
cell
technology,
bioengineering,
artificial
(AI).
This
chapter
delves
deep
into
myriad
potentials
OI,
encompassing
an
enhanced
cognitive
functions,
achieving
significant
biological
proficiencies.
Such
advancements
stand
offer
unique
complementarity
conventional
computing
methods.
sphere
signify
transformative
stride
towards
more
intricate
grasp
its
multifaceted
intricacies.
intersection
biology
machine
learning
rapidly
evolving
reshaping
our
life
health.
convergence
driving
numerous
areas,
including
genomics,
drug
discovery,
personalized
medicine,
synthetic
biology.
Shape
memory
polymers
(SMPs)
and
their
composites
(SMPCs)
are
smart
materials
that
can
be
stably
deformed
then
return
to
original
shape
under
external
stimulation,
thus
having
a
of
shape.
Three-dimensional
(3D)
printing
is
an
advanced
technology
for
fabricating
products
using
digital
software
tool.
Four-dimensional
(4D)
new
generation
additive
manufacturing
combines
3D
technology.
Currently,
4D-printed
SMPs
SMPCs
gaining
considerable
research
attention
finding
use
in
various
fields,
including
biomedical
science.
This
review
introduces
SMPs,
SMPCs,
4D
technologies,
highlighting
several
special
structures.
It
summarizes
the
recent
progress
with
particular
emphasis
on
applications.
Additionally,
it
presents
overview
challenges
development
prospects
provides
preliminary
discussion
useful
reference
application
SMPCs.
Materials Today Bio,
Год журнала:
2023,
Номер
23, С. 100792 - 100792
Опубликована: Сен. 15, 2023
Artificial
intelligence
(AI)
and
3D
printing
will
become
technologies
that
profoundly
impact
humanity.
of
patient-specific
organ
models
is
expected
to
replace
animal
carcasses,
providing
scenarios
simulate
the
surgical
environment
for
preoperative
training
educating
patients
propose
effective
solutions.
Due
complexity
manufacturing,
it
still
used
on
a
small
scale
in
clinical
practice,
there
are
problems
such
as
low
resolution
obtaining
MRI/CT
images,
long
consumption
time,
insufficient
realism.
AI
has
been
effectively
powerful
problem-solving
tool.
This
paper
introduces
printed
models,
focusing
idea
application
manufacturing
models.
Finally,
potential
3D-printed
discussed.
Based
synergy
between
benefit
model
facilitate
medical
field,
use
making
reality.
Polymers for Advanced Technologies,
Год журнала:
2024,
Номер
35(9)
Опубликована: Сен. 1, 2024
Abstract
Graphene
quantum
dots
(GQDs),
owing
to
their
unique
optical,
electrical,
and
chemical
properties,
have
emerged
as
promising
nanomaterials
for
various
biomedical
applications.
This
review
provides
a
comprehensive
overview
of
the
latest
advancements
in
utilization
GQDs
tissue
engineering,
wound
healing,
drug
delivery
systems,
other
therapies.
The
inherent
properties
GQDs,
including
high
biocompatibility,
tunable
photoluminescence,
significant
surface
area,
make
them
ideal
candidates
enhancing
medical
treatments
diagnostics.
In
improve
mechanical
biological
performance
scaffolds,
promoting
cell
proliferation
differentiation.
For
enhance
antimicrobial
activity
facilitate
faster
regeneration.
Their
potential
DDS
is
highlighted
by
ability
deliver
therapeutic
agents
efficiently,
ensuring
targeted
controlled
release.
Additionally,
play
crucial
role
therapies,
particularly
cancer
treatment,
efficacy
reducing
side
effects.
While
offer
diagnostics,
challenges
such
understanding
long‐term
cytotoxicity
at
higher
concentrations,
need
standardized
synthesis
methods
remain
critical
areas
further
research.
also
discusses
future
directions
opportunities
emphasizing
transformative
advancing
modern
healthcare
solutions.
insights
presented
here
contribute
expanding
field
GQD
research,
highlighting
significantly
patient
outcomes
drive
innovations.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery,
Год журнала:
2024,
Номер
14(6)
Опубликована: Авг. 4, 2024
Abstract
This
comprehensive
review
article
embarks
on
an
extensive
exploration
of
anxiety
research,
navigating
a
multifaceted
landscape
that
incorporates
various
disciplines,
such
as
molecular
genetics,
hormonal
influences,
implant
science,
regenerative
engineering,
and
real‐time
cardiac
signal
analysis,
all
while
harnessing
the
transformative
potential
medical
intelligence
[medical
+
artificial
(AI)].
By
addressing
fundamental
research
questions,
this
study
investigated
foundations
underlying
disorders,
shedding
light
intricate
interplay
genetic
factors
contributing
to
etiology
progression
anxiety.
Furthermore,
delves
into
emerging
implications
biomaterials,
defibrillators,
state‐of‐the‐art
devices
for
elucidating
their
roles
in
diagnosis,
treatment,
patient
management.
A
pivotal
contribution
is
development
AI‐driven
model
analysis.
innovative
approach
offers
promising
avenue
enhancing
precision
timeliness
diagnosis
monitoring.
Leveraging
machine
learning
AI
techniques
enables
accurate
classification
persons
with
based
data,
thereby
ushering
new
era
personalized
data‐driven
mental
health
care.
Identifying
themes
knowledge
gaps
lays
foundation
future
directions
roadmap
scholars
practitioners
navigate
field.
In
conclusion,
serves
vital
resource,
consolidating
diverse
perspectives
fostering
deeper
understanding
disorders
from
biological,
technological
standpoints,
ultimately
advancing
clinical
practice.
categorized
under:
Application
Areas
>
Health
Care
Science
Technology
Technologies
Classification
Journal of Tissue Engineering,
Год журнала:
2024,
Номер
15
Опубликована: Янв. 1, 2024
The
liver
coordinates
over
500
biochemical
processes
crucial
for
maintaining
homeostasis,
detoxification,
and
metabolism.
Its
specialized
cells,
arranged
in
hexagonal
lobules,
enable
it
to
function
as
a
highly
efficient
metabolic
engine.
However,
diseases
such
cirrhosis,
fatty
disease,
hepatitis
present
significant
global
health
challenges.
Traditional
drug
development
is
expensive
often
ineffective
at
predicting
human
responses,
driving
interest
advanced
vitro
models
utilizing
3D
bioprinting
microfluidics.
These
strive
mimic
the
liver’s
complex
microenvironment,
improving
screening
disease
research.
Despite
its
resilience,
vulnerable
chronic
illnesses,
injuries,
cancers,
leading
millions
of
deaths
annually.
Organ
shortages
hinder
transplantation,
highlighting
need
alternative
treatments.
Tissue
engineering,
employing
polymer-based
scaffolds
bioprinting,
shows
promise.
This
review
examines
these
innovative
strategies,
including
organoids
tissue-on-chip
technologies,
address
challenges
diseases.
Journal of Chemical & Engineering Data,
Год журнала:
2024,
Номер
69(7), С. 2569 - 2584
Опубликована: Июль 1, 2024
Assessing
the
solubility
of
pharmaceutical
compounds
in
supercritical
carbon
dioxide
(scCO2)
is
a
fundamental
prerequisite
for
advancing
application
technologies
sector.
The
Febuxostat,
drug
with
limited
often
prescribed
gout
patients
to
lower
blood
uric
acid
levels,
has
previously
been
studied
within
pressure
and
temperature
ranges
12–27
MPa
308–338
K,
exhibiting
mole
fraction
range
0.05
×
10–4–7.42
10–4.
This
study
explores
influence
various
cosolvents,
namely,
ethanol,
acetone,
dimethyl
sulfoxide
(DMSO),
on
Febuxostat
under
comparable
conditions.
Results
indicate
0.180
10–4–26.658
10–4
0.120
10–4–14.810
0.108
10–4–14.366
DMSO,
respectively.
Ethanol
exhibits
most
substantial
impact,
enhancing
by
approximately
2.4–3.8
times,
while
acetone
DMSO
contribute
an
increase
2–2.5
times.
Furthermore,
employs
empirical
models
artificial
neural
network
(ANN)
approach
theoretically
investigate
these
cosolvents.
Among
models,
Jouyban
model
demonstrates
accurate
correlation
data
all
Moreover,
ANN
exceptional
accuracy
forecasting
mean
AARD
%
3.207%
Radj
0.993
across
experimental
measurements
scCO2
+
solvents.
