Abstract
Motivation
Biomedical
and
healthcare
domains
generate
vast
amounts
of
complex
data
that
can
be
challenging
to
analyze
using
machine
learning
tools,
especially
for
researchers
without
computer
science
training.
Results
Aliro
is
an
open-source
software
package
designed
automate
analysis
through
a
clean
web
interface.
By
infusing
the
power
large
language
models,
user
interact
with
their
by
seamlessly
retrieving
executing
code
pulled
from
model,
accelerating
automated
discovery
new
insights
data.
includes
pre-trained
recommendation
system
assist
selection
algorithms
its
hyperparameters
provides
visualization
evaluated
model
Availability
implementation
deployed
running
custom
Docker
containers.
available
as
GitHub
at:
https://github.com/EpistasisLab/Aliro.
Microbial Biotechnology,
Год журнала:
2023,
Номер
16(6), С. 1131 - 1173
Опубликована: Фев. 14, 2023
Practical
experiments
drive
important
scientific
discoveries
in
biology,
but
theory-based
research
studies
also
contribute
novel-sometimes
paradigm-changing-findings.
Here,
we
appraise
the
roles
of
approaches
focusing
on
experiment-dominated
wet-biology
areas
microbial
growth
and
survival,
cell
physiology,
host-pathogen
interactions,
competitive
or
symbiotic
interactions.
Additional
examples
relate
to
analyses
genome-sequence
data,
climate
change
planetary
health,
habitability,
astrobiology.
We
assess
importance
thought
at
each
step
process;
natural
philosophy,
inconsistencies
logic
language,
as
drivers
progress;
value
experiments;
use
limitations
artificial
intelligence
technologies,
including
their
potential
for
interdisciplinary
transdisciplinary
research;
other
instances
when
theory
is
most-direct
most-scientifically
robust
route
novelty
development
techniques
practical
experimentation
fieldwork.
highlight
intrinsic
need
human
engagement
innovation,
an
issue
pertinent
ongoing
controversy
over
papers
authored
using/authored
by
(such
large
language
model/chatbot
ChatGPT).
Other
issues
discussed
are
way
which
aspects
can
bias
thinking
towards
spatial
rather
than
temporal
(and
how
this
biased
lead
skewed
terminology);
receptivity
that
non-mainstream;
science
education
epistemology.
Whereas
briefly
classic
works
(those
Oakes
Ames,
Francis
H.C.
Crick
James
D.
Watson,
Charles
R.
Darwin,
Albert
Einstein,
E.
Lovelock,
Lynn
Margulis,
Gilbert
Ryle,
Erwin
R.J.A.
Schrödinger,
Alan
M.
Turing,
others),
focus
microbiology
more-recent,
discussing
these
context
process
types
they
represent.
These
include
several
carried
out
during
2020
2022
lockdowns
COVID-19
pandemic
access
laboratories
was
disallowed
(or
limited).
interviewed
authors
some
featured
microbiology-related
and-although
ourselves
involved
laboratory
fieldwork-also
drew
from
our
own
experiences
showing
such
not
only
produce
new
findings
transcend
barriers
between
disciplines,
act
counter
reductionism,
integrate
biological
data
across
different
timescales
levels
complexity,
circumvent
constraints
imposed
techniques.
In
relation
urgent
needs,
believe
global
challenges
may
require
beyond
experiment.
World Journal of Advanced Research and Reviews,
Год журнала:
2024,
Номер
21(1), С. 2740 - 2752
Опубликована: Янв. 30, 2024
As
healthcare
systems
strive
to
meet
the
evolving
demands
of
an
ever-changing
landscape,
biotechnology
emerges
as
a
pivotal
force
driving
transformative
advancements.
This
comprehensive
review
explores
multifaceted
role
in
healthcare,
examining
global
trends
that
underscore
its
profound
impact
on
diagnostics,
treatment
modalities,
and
overall
landscape
delivery.
The
study
begins
by
elucidating
fundamental
principles
diverse
applications
healthcare.
From
genomics
personalized
medicine,
biotechnological
innovations
are
reshaping
understanding
diseases,
enabling
tailored
interventions
based
individual
genetic
profiles.
delves
into
burgeoning
field
precision
where
tools
empower
clinicians
deliver
targeted
therapies,
optimize
outcomes,
minimize
adverse
effects.
integration
platforms
including
advanced
imaging
techniques
liquid
biopsies,
is
transforming
early
detection
monitoring
ushering
era
proactive
Moreover,
characterized
collaborative
research
initiatives
cross-disciplinary
partnerships.
interconnectedness
with
artificial
intelligence
data
analytics
explored,
highlighting
synergistic
potential
unlocking
intricate
patterns
within
vast
datasets
inform
more
precise
effective
strategies.
accelerates
development
novel
therapeutics,
gene
cell
addresses
ethical
considerations,
regulatory
frameworks,
accessibility
challenges.
It
critically
analyzes
disparities
adoption
advancements
across
systems,
emphasizing
need
for
equitable
access
ensure
benefits
reach
populations
worldwide.
In
conclusion,
elucidates
extends
beyond
scientific
breakthroughs
encompass
paradigm
shift.
By
continents,
it
underscores
power
fostering
new
precision,
innovation,
unwavering
commitment
improving
patient
outcomes
scale.
Abstract
Motivation
The
ongoing
expansion
in
the
volume
of
biomedical
data
has
contributed
to
a
growing
complexity
tools
and
technologies
used
research
with
an
increased
reliance
on
complex
workflows
written
orchestration
languages
such
as
Nextflow
integrate
algorithms
into
processing
pipelines.
use
involving
various
led
scrutiny
software
development
practices
avoid
errors
individual
connections
between
them.
Results
To
facilitate
test-driven
pipelines,
we
created
NFTest,
framework
for
automated
pipeline
testing
validation
customizability
options
features.
It
is
open-source,
easy
initialize
use,
customizable
allow
test
success
configurable
through
broad
range
assertions.
NFTest
simplifies
burden
developers
by
automating
tests
once
defined
providing
flexible
interface
running
validate
workflows.
This
reduces
barrier
rigorous
workflow
paves
way
toward
reducing
computational
biomedicine.
Availability
implementation
open-source
Python
under
GPLv2
license
freely
available
at
https://github.com/uclahs-cds/tool-NFTest.
call-sSNV
at:
https://github.com/uclahs-cds/pipeline-call-sSNV.
This
study
examines
the
integration
of
genomics
and
artificial
intelligence
(AI)
in
healthcare
industry,
focusing
on
ethical
trust-related
issues
that
arise
from
this
integration.
highlights
significance
protecting
genomic
data
by
employing
homomorphic
encryption.
emphasizes
algorithmic
transparency.
It
suggests
interpretative
frameworks
like
Local
Interpretable
Model-agnostic
Explanations
(LIME)
SHapley
Additive
exPlanations
(SHAP)
to
enhance
comprehensibility
AI
algorithms.
The
article
discusses
two
key
regulatory
measures:
Trustworthy
Artificial
Intelligence
Initiative
Genomic
Data
Sharing
(GDS)
Policy.
effectiveness
current
practices
adapting
rapid
technological
advancements
while
maintaining
standards.
attaining
a
balance
between
benefits
predictive
analytics
considerations,
such
as
informed
consent
integrity,
we
transition
big
mechanisms.
importance
lies
its
ability
revolutionize
sector.
robust
governance
ensure
adhere
standards
earn
public
trust.
In
summary,
it
is
imperative
acknowledge
address
considerations
associated
with
integrating
effective
responsible
implementation.
area
major
focus
contemporary
medical
research
practice.
Pharmaceuticals,
Год журнала:
2024,
Номер
17(3), С. 395 - 395
Опубликована: Март 19, 2024
Adverse
drug
reactions
continue
to
be
not
only
one
of
the
most
urgent
problems
in
clinical
medicine,
but
also
a
social
problem.
The
aim
this
study
was
bibliometric
analysis
use
digital
technologies
prevent
adverse
and
an
overview
their
main
applications
improve
safety
pharmacotherapy.
search
conducted
using
Web
Science
database
for
period
1991–2023.
A
positive
trend
publications
field
management
revealed.
total
72%
all
relevant
come
from
following
countries:
USA,
China,
England,
India,
Germany.
Among
organizations
active
side
effect
technologies,
American
Chinese
universities
dominate.
Visualization
publication
keywords
VOSviewer
software
1.6.18
revealed
four
clusters:
“preclinical
studies”,
“clinical
trials”,
“pharmacovigilance”,
“reduction
order
patient’s
quality
life”.
Molecular
design
virtual
models
toxicity
modeling,
data
integration,
repurposing
are
among
key
tools
used
preclinical
research
phase.
Integrating
application
machine
learning
algorithms
analysis,
monitoring
electronic
databases
spontaneous
messages,
medical
records,
scientific
databases,
networks,
device
into
trials
pharmacovigilance
systems,
can
significantly
efficiency
development,
implementation,
processes.
result
combining
these
is
huge
synergistic
provision
up-to-date
valuable
information
healthcare
professionals,
patients,
health
authorities.
