Journal of Natural Science Review,
Journal Year:
2024,
Volume and Issue:
2(4), P. 135 - 146
Published: Dec. 30, 2024
Lornoxicam
has
a
low
solubility;
therefore,
its
oral
use
is
restricted
due
to
adverse
effects
on
the
gastric
system.
Hence,
we
intend
design
niosomal
transdermal
patch
of
improve
clinical
efficacy
and
enhance
absorption
penetration
through
skin
by
applying
surfactants.
Surfactants
generally
solubility
active
ingredients.
The
niosome
vesicles
are
prepared
using
rotary
film
evaporation
technique.
result
showed
that
percentage
entrapment
unsonicated
was
70.13
±0.2%
sonicated
72.39
±0.02%
optimized
formulation.
sonicator
apparatus
reduced
size
vesicles;
hence,
formulations
greater
than
formulations.
in
vitro
release
patches
(TPF1-
TPF2-TPF3)
performed
for
6
hours
across
egg
membrane,
where
results
maximum
TPF1
formulation
less
thickness
(121
±1.53
μm)
90.86%.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 10, 2024
Abstract
This
study
addresses
the
challenges
associated
with
emergency
department
(ED)
overcrowding
and
emphasizes
need
for
efficient
risk
stratification
tools
to
identify
high-risk
patients
early
intervention.
While
several
scoring
systems,
often
based
on
logistic
regression
(LR)
models,
have
been
proposed
indicate
patient
illness
severity,
this
aims
compare
predictive
performance
of
ensemble
learning
(EL)
models
LR
in-hospital
mortality
in
ED.
A
cross-sectional
single-center
was
conducted
at
ED
Imam
Reza
Hospital
northeast
Iran
from
March
2016
2017.
The
included
adult
one
three
levels
severity
index.
EL
using
Bagging,
AdaBoost,
random
forests
(RF),
Stacking
extreme
gradient
boosting
(XGB)
algorithms,
along
an
model,
were
constructed.
training
validation
visits
randomly
divided
into
80%
20%,
respectively.
After
tenfold
cross-validation,
their
evaluated.
Model
compared
Brier
score
(BS),
area
under
receiver
operating
characteristics
curve
(AUROC),
precision–recall
(AUCPR),
Hosmer–Lemeshow
(H–L)
goodness-of-fit
test,
precision,
sensitivity,
accuracy,
F1-score,
Matthews
correlation
coefficient
(MCC).
2025
unique
admitted
hospital’s
ED,
a
total
percentage
hospital
deaths
approximately
19%.
In
group
group,
274
1476
(18.6%)
152
728
(20.8%)
died
during
hospitalization,
According
evaluation
presented
framework,
particularly
predicted
highest
AUROC
(0.839,
CI
(0.802–0.875))
AUCPR
=
0.64
comparable
terms
discrimination
power
(AUROC
(0.826,
(0.787–0.864))
0.61).
XGB
achieved
precision
(0.83),
sensitivity
(0.831),
accuracy
(0.842),
F1-score
(0.833),
MCC
(0.48).
Additionally,
most
accurate
unbalanced
dataset
belonged
RF
lowest
BS
(0.128).
Although
all
studied
overestimate
insufficient
calibration
(
P
>
0.05),
stacking
demonstrated
relatively
good
agreement
between
actual
mortality.
are
not
superior
predicting
Both
can
be
considered
as
screening
Frontiers in Cellular and Infection Microbiology,
Journal Year:
2025,
Volume and Issue:
14
Published: Jan. 20, 2025
Messenger
RNA
(mRNA)
vaccines
offer
an
adaptable
and
scalable
platform
for
cancer
immunotherapy,
requiring
optimal
design
to
elicit
a
robust
targeted
immune
response.
Recent
advancements
in
bioinformatics
artificial
intelligence
(AI)
have
significantly
enhanced
the
design,
prediction,
optimization
of
mRNA
vaccines.
This
paper
reviews
technologies
that
streamline
vaccine
development,
from
genomic
sequencing
lipid
nanoparticle
(LNP)
formulation.
We
discuss
how
accurate
predictions
neoantigen
structures
guide
sequences
effectively
target
cells.
Furthermore,
we
examine
AI-driven
approaches
optimize
mRNA-LNP
formulations,
enhancing
delivery
stability.
These
technological
innovations
not
only
improve
but
also
enhance
pharmacokinetics
pharmacodynamics,
offering
promising
avenues
personalized
immunotherapy.
BMC Complementary Medicine and Therapies,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: April 8, 2024
Gels
loaded
with
nanocarriers
offer
interesting
ways
to
create
novel
therapeutic
approaches
by
fusing
the
benefits
of
gel
and
nanotechnology.
Clinical
studies
indicate
that
lavender
oil
(Lav-O)
has
a
positive
impact
on
accelerating
wound
healing
properly
based
its
antimicrobial
anti-inflammatory
effects.
Initially
Lav-O
Solid
Lipid
Nanoparticles
(Lav-SLN)
were
prepared
incorporating
cholesterol
lecithin
natural
lipids
SLNs
characterized.
Next,
3%
SLN
containing
topical
(Lav-SLN-G)
was
formulated
using
Carbopol
940.
Both
Lav-SLN
Lav-SLN-G
assessed
in
terms
antibacterial
effects
against
S.
aureus.
Lav-SLNs
revealed
particle
size
19.24
nm,
zeta
potential
-21.6
mv
EE%
75.46%.
Formulated
presented
an
acceptable
pH
texture
properties.
Minimum
Inhibitory/Bactericidal
Concentration
(MIC/MBC)
aureus
for
LAv-O,
0.12
0.24
mgml
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 4, 2024
Abstract
The
treatment
of
tuberculosis
is
still
a
challenging
process
due
to
the
widespread
pathogen
strains
resistant
antibacterial
drugs,
as
well
undesirable
effects
anti-tuberculosis
therapy.
Hence,
development
safe
and
effective
new
anti-antitubercular
agents,
in
addition
suitable
nanocarrier
systems,
has
become
utmost
importance
necessity.
Our
research
aims
develop
liposomal
vesicles
that
contain
newly
synthesized
compounds
with
antimycobacterial
action.
compound
being
studied
derivative
imidazo-tetrazine
named
3-(3,5-dimethylpyrazole-1-yl)-6-(isopropylthio)
imidazo
[1,2-b]
[1,2,4,5]
tetrazine
compound.
Several
factors
affect
characteristics
were
studied.
maximum
encapsulation
efficiency
was
53.62
±
0.09.
selected
formulation
T8*
possessed
mean
particle
size
about
205.3
3.94
nm
PDI
0.282,
zeta
potential
+
36.37
0.49
mv.
results
vitro
release
study
indicated
solubility
I
increased
by
its
incorporation
liposomes.
free
preparation
showed
activity
against
Mycobacterium
H
37
R
v
(ATCC
27294)
at
MIC
value
0.94–1.88
μg/ml.
We
predict
liposomes
may
be
good
candidate
for
delivering
antitubercular
drugs.
Journal of Controlled Release,
Journal Year:
2024,
Volume and Issue:
376, P. 1025 - 1038
Published: Nov. 8, 2024
Drug
delivery
systems
efficiently
and
safely
administer
therapeutic
agents
to
specific
body
sites.
Liposomes,
spherical
vesicles
made
of
phospholipid
bilayers,
have
become
a
powerful
tool
in
this
field,
especially
with
the
rise
microfluidic
manufacturing
during
COVID-19
pandemic.
Despite
its
efficiency,
liposomal
production
poses
challenges,
often
requiring
laborious,
optimization
on
case-by-case
basis.
This
is
due
lack
comprehensive
understanding
robust
methodologies,
compounded
by
limited
data
varying
lipids.
Artificial
intelligence
offers
promise
predicting
lipid
behaviour
production,
still
unexploited
potential
streamlining
development.
Herein
we
employ
machine
learning
predict
critical
quality
attributes
process
parameters
for
microfluidic-based
liposome
production.
Validated
models
formation,
size,
parameters,
significantly
advancing
our
behaviour.
Extensive
model
analysis
enhanced
interpretability
investigated
underlying
mechanisms,
supporting
transition
Unlocking
drug
development
can
accelerate
pharmaceutical
innovation,
making
more
adaptable
accessible.
Pharmaceutical Development and Technology,
Journal Year:
2025,
Volume and Issue:
30(1), P. 126 - 136
Published: Jan. 2, 2025
Machine
learning
(ML)
has
emerged
as
a
transformative
tool
in
drug
delivery,
particularly
the
design
and
optimization
of
liposomal
formulations.
This
review
focuses
on
intersection
ML
technology,
highlighting
how
advanced
algorithms
are
accelerating
formulation
processes,
predicting
key
parameters,
enabling
personalized
therapies.
ML-driven
approaches
restructuring
development
by
optimizing
liposome
size,
stability,
encapsulation
efficiency
while
refining
release
profiles.
Additionally,
integration
enhances
therapeutic
outcomes
precision-targeted
delivery
minimizing
side
effects.
presents
current
breakthroughs,
challenges,
future
opportunities
applying
to
systems,
aiming
improve
efficacy
patient
various
disease
treatments.
