Frontiers in Pharmacology,
Journal Year:
2022,
Volume and Issue:
13
Published: June 21, 2022
Coronavirus
disease
2019
was
first
discovered
in
December
and
subsequently
became
a
global
pandemic
with
serious
political,
economic,
social
implications
worldwide.
We
urgently
need
to
find
drugs
that
can
be
effective
against
COVID-19.
Among
the
many
observational
studies,
ivermectin
has
attracted
attention
of
countries.
Ivermectin
is
broad-spectrum
antiparasitic
drug
also
some
antiviral
effects.
reviewed
studies
related
for
treatment
COVID-19
over
last
2
years
(2019.12–2022.03)
via
search
engines
such
as
PubMed,
Web
Science,
EBSCOhost.
Seven
showed
lower
mortality
rate
group
than
control
group,
six
found
had
significantly
fewer
length
hospitalization
eight
better
negative
RT-PCR
responses
IVM
group.
Our
systematic
review
indicated
may
mildly
moderately
ill
patients.
There
no
clear
evidence
or
guidelines
recommend
therapeutic
agent
COVID-19,
so
physicians
should
use
it
caution
absence
alternatives
clinical
setting,
self-medication
not
recommended
JAMA Network Open,
Journal Year:
2023,
Volume and Issue:
6(8), P. e2328928 - e2328928
Published: Aug. 15, 2023
Approximately
one-third
of
the
more
than
1
100
000
confirmed
COVID-19-related
deaths
as
January
18,
2023,
were
considered
preventable
if
public
health
recommendations
had
been
followed.
Physicians'
propagation
misinformation
about
COVID-19
on
social
media
and
other
internet-based
platforms
has
raised
professional,
health,
ethical
concerns.To
characterize
(1)
types
propagated
by
US
physicians
after
vaccines
became
available,
(2)
online
used,
(3)
characteristics
spreading
misinformation.Using
Centers
for
Disease
Control
Prevention
guidelines
prevention
treatment
infection
during
study
window
to
define
misinformation,
structured
searches
high-use
(Twitter,
Facebook,
Instagram,
Parler,
YouTube)
news
sources
(The
New
York
Times,
National
Public
Radio)
conducted
identify
communicated
US-based
between
2021
December
2022.
state
licensure
medical
specialty
identified.
The
number
followers
each
physician
4
major
was
extracted
estimate
reach
qualitative
content
analysis
messages
performed.Outcome
measures
included
categories
propagated,
traits
engaged
in
propagation,
type
channels
used
propagate
potential
reach.The
attributed
52
28
different
specialties
across
all
regions
country.
General
vaccines,
medication,
masks,
(ie,
conspiracy
theories).
Forty-two
(80.8%)
posted
vaccine
40
(76.9%)
information
category,
20
(38.5%)
5
or
platforms.
Major
themes
identified
disputing
safety
effectiveness,
promoting
treatments
lacking
scientific
evidence
and/or
Food
Drug
Administration
approval,
mask-wearing
(4)
(unsubstantiated
claims,
eg,
virus
origin,
government
lies,
theories).In
this
mixed-methods
media,
results
suggest
widespread,
inaccurate,
potentially
harmful
assertions
made
country
who
represented
a
range
subspecialties.
Further
research
is
needed
assess
extent
harms
associated
with
motivations
these
behaviors,
legal
professional
recourse
improve
accountability
propagation.
Frontiers in Medicine,
Journal Year:
2021,
Volume and Issue:
8
Published: Sept. 20, 2021
Introduction:
The
severity
of
COVID-19
may
be
correlated
with
the
risk
liver
injury
development.
An
increasing
number
studies
indicate
that
degrees
hepatotoxicity
has
been
associated
using
some
medications
in
management
patients.
However,
limited
had
systematically
investigated
evidence
drug-induced
(DILI)
Thus,
this
study
aimed
to
examine
DILI
Methods:
A
systematic
search
was
carried
out
PubMed/Medline,
EMBASE,
and
Web
Science
up
December
30,
2020.
Search
items
included
“SARS-CoV-2”,
“Coronavirus,”
COVID-19,
injury.
Results:
We
22
related
articles.
Among
studies,
there
five
case
report,
series,
four
randomizes
control
trial
(RCT),
seven
cohort
one
cross-sectional
study.
drugs
review
were
remdesivir,
favipiravir,
tocilizumab,
hydroxychloroquine,
lopinavir/ritonavir.
revealed
a
direct
role
drugs,
while
others
couldn't
certainly
confirm
due
SARS-CoV-2
itself
or
administration
medications.
significant
reported
could
attributable
drug
administration.
Discussion:
Liver
patients
caused
by
virus
types
drug.
Intensive
function
monitoring
should
considered
for
patients,
especially
who
are
treated
such
as
lopinavir/ritonavir,
tocilizumab.
Clinical Microbiology Reviews,
Journal Year:
2021,
Volume and Issue:
34(4)
Published: July 28, 2021
The
development
of
effective
antiviral
therapy
for
COVID-19
is
critical
those
awaiting
vaccination,
as
well
who
do
not
respond
robustly
to
vaccination.
This
review
summarizes
1
year
progress
in
the
race
develop
therapies
COVID-19,
including
research
spanning
preclinical
and
clinical
drug
efforts,
with
an
emphasis
on
compounds
that
are
or
high
priorities
development.
divided
into
sections
inhibit
SARS-CoV-2
enzymes,
its
polymerase
proteases;
virus
entry,
monoclonal
antibodies;
interferons;
repurposed
drugs
host
processes
required
replication.
concludes
a
summary
lessons
be
learned
from
efforts
challenges
continued
progress.
Antibiotics,
Journal Year:
2022,
Volume and Issue:
11(4), P. 445 - 445
Published: March 25, 2022
The
capacity
for
social
media
to
influence
the
utilization
of
re-purposed
medicines
manage
COVID-19,
despite
limited
availability
safety
and
efficacy
data,
is
a
cause
concern
within
health
care
systems.
This
study
sought
ascertain
links
between
reports
three
medicines:
hydroxychloroquine
(HCQ),
ivermectin
colchicine.
A
combined
retrospective
analysis
posts
these
was
undertaken,
along
with
clinical
trials
in
South
Africa,
January
2020
June
2021.
In
total,
77,257
were
collected
across
key
platforms,
which
6884
relevant.
Ivermectin
had
highest
number
(55%)
followed
by
HCQ
(44%).
spike
use
closely
correlated
posts.
Similarly,
regarding
chloroquine
(as
not
available
Africa),
interest
enhanced
local
politicians.
Sentiment
revealed
that
effectiveness
repurposed
positive.
different
colchicine,
contributed
only
small
mentions
(1%).
Of
majority
reporters
(85%)
unidentifiable.
provides
evidence
as
driver
medicines.
Healthcare
professionals
have
role
providing
evidence-based
advice
especially
unidentifiable
Machine Learning Science and Technology,
Journal Year:
2023,
Volume and Issue:
4(1), P. 015023 - 015023
Published: Feb. 17, 2023
Abstract
Machine
Learning
for
ligand
based
virtual
screening
(LB-VS)
is
an
important
in-silico
tool
discovering
new
drugs
in
a
faster
and
cost-effective
manner,
especially
emerging
diseases
such
as
COVID-19.
In
this
paper,
we
propose
general-purpose
framework
combining
classical
Support
Vector
Classifier
algorithm
with
quantum
kernel
estimation
LB-VS
on
real-world
databases,
argue
favor
of
its
prospective
advantage.
Indeed,
heuristically
prove
that
our
integrated
workflow
can,
at
least
some
relevant
instances,
provide
tangible
advantage
compared
to
state-of-art
algorithms
operating
the
same
datasets,
showing
strong
dependence
target
features
selection
method.
Finally,
test
IBM
Quantum
processors
using
ADRB2
COVID-19
hardware
simulations
results
line
predicted
performances
can
surpass
equivalents.
