COVID-19: A novel holistic systems biology approach to predict its molecular mechanisms (in vitro) and repurpose drugs
DARU Journal of Pharmaceutical Sciences,
Journal Year:
2023,
Volume and Issue:
31(2), P. 155 - 171
Published: Aug. 19, 2023
Language: Английский
Deciphering Molecular Mechanisms of Cutaneous Leishmaniasis, Pathogenesis and Drug Repurposing through Systems Biology
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
28(4), P. 179 - 191
Published: July 1, 2024
Cutaneous
leishmaniasis
(CL)
is
a
major
health
problem
caused
by
an
intracellular
pathogen
of
the
genus
Leishmania.
CL
results
in
morphologically
distinct
skin
injuries,
ranging
from
nodules
to
plaques
and
ulcers,
which
persist
as
recuperating
incessant
injury
depending
on
type
contaminating
parasite.
There
still
no
effective
treatment
reduce
lesions
patients
infected
with
CL.
The
aim
this
study
was
develop
strategies
treat
patients.
Language: Английский
Deciphering the similarities and disparities of molecular mechanisms behind respiratory epithelium response to HCoV-229E and SARS-CoV-2 and drug repurposing, a systems biology approach
DARU Journal of Pharmaceutical Sciences,
Journal Year:
2024,
Volume and Issue:
32(1), P. 215 - 235
Published: April 23, 2024
Language: Английский
Expression of DDSR1 Long Non-Coding RNA and Genes Involved in the DNA Damage Response in Sperm with DNA Fragmentation
Reproductive Sciences,
Journal Year:
2024,
Volume and Issue:
31(10), P. 3112 - 3121
Published: July 16, 2024
Language: Английский
A Comprehensive Survey on the Role of the Medical AI for the Healthcare Support
Abdelrahman M. Helmi,
No information about this author
Sayed AbdelGaber,
No information about this author
Samah Bastawy
No information about this author
et al.
International Journal of Computer Applications,
Journal Year:
2023,
Volume and Issue:
185(31), P. 30 - 37
Published: Aug. 31, 2023
The
COVID-19
pandemic
has
caused
widespread
devastation,
affected
millions
of
lives
and
placed
immense
pressure
on
healthcare
systems
worldwide.As
the
viruses
continues
to
ravage
communities,
need
for
solutions
that
can
support
early
diagnosis
diseases
automate
critical
processes
in
system
become
more
pressing
than
ever
before.Artificial
Intelligence
(AI)
emerged
as
a
versatile
technology
various
industries
due
its
ability
save
time
by
enabling
machines
learn
from
experience,
adapt
new
inputs,
perform
human-like
tasks.In
medical
industry,
AI
crucial
tool
developing
applications
combat
lives.Therefore,
researchers
have
focused
exploring
potential
fight
against
commonly
coronavirus.This
survey
paper
presents
comprehensive
review
recent
models
techniques
used
virus
diagnosis,
showcasing
different
approaches
both
released
novel
depending
types
such
images
biomedical
data.The
provides
an
overview
models'
performance,
highlighting
their
strengths
limitations.The
study
emphasizes
contributions
previous
trials,
demonstrating
how
helped
detecting,
tracking,
predicting
spread
viruses.Moreover,
highlights
challenges
encountered
while
including
limited
availability
highquality
data,
diverse
datasets,
ethical
related
data
privacy
security.The
offers
insights
guide
future
research
accurate
effective
models.The
sensible
outlook
develop
highly
address
trials.Finally,
concludes
emphasizing
importance
continued
development
AI-based
diseases.
Language: Английский