International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(24), P. 13371 - 13371
Published: Dec. 13, 2024
During
the
last
decade,
artificial
intelligence
(AI)
was
applied
to
nearly
all
domains
of
human
activity,
including
scientific
research.
It
is
thus
warranted
ask
whether
AI
thinking
should
be
durably
involved
in
biomedical
This
problem
addressed
by
examining
three
complementary
questions
(i)
What
are
major
barriers
currently
met
investigators?
suggested
that
during
2
decades
there
a
shift
towards
growing
need
elucidate
complex
systems,
and
this
not
sufficiently
fulfilled
previously
successful
methods
such
as
theoretical
modeling
or
computer
simulation
(ii)
potential
meet
aforementioned
need?
it
recent
well-suited
perform
classification
prediction
tasks
on
multivariate
possibly
help
data
interpretation,
provided
their
efficiency
properly
validated.
(iii)
Recent
representative
results
obtained
with
machine
learning
suggest
may
comparable
displayed
operators.
concluded
play
an
important
role
practice.
Also,
already
other
physics,
combining
conventional
might
generate
further
progress
new
applications,
involving
heuristic
interpretation.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(35)
Published: Aug. 20, 2024
How
good
a
research
scientist
is
ChatGPT?
We
systematically
probed
the
capabilities
of
GPT-3.5
and
GPT-4
across
four
central
components
scientific
process:
as
Research
Librarian,
Ethicist,
Data
Generator,
Novel
Predictor,
using
psychological
science
testing
field.
In
Study
1
(Research
Librarian),
unlike
human
researchers,
hallucinated,
authoritatively
generating
fictional
references
36.0%
5.4%
time,
respectively,
although
exhibited
an
evolving
capacity
to
acknowledge
its
fictions.
2
Ethicist),
(though
not
GPT-3.5)
proved
capable
detecting
violations
like
p-hacking
in
protocols,
correcting
88.6%
blatantly
presented
issues,
72.6%
subtly
issues.
3
(Data
Generator),
both
models
consistently
replicated
patterns
cultural
bias
previously
discovered
large
language
corpora,
indicating
that
ChatGPT
can
simulate
known
results,
antecedent
usefulness
for
data
generation
skills
hypothesis
generation.
Contrastingly,
4
(Novel
Predictor),
neither
model
was
successful
at
predicting
new
results
absent
their
training
data,
appeared
leverage
substantially
information
when
more
vs.
less
novel
outcomes.
Together,
these
suggest
GPT
flawed
but
rapidly
improving
librarian,
decent
ethicist
already,
simple
domains
with
characteristics
poor
empirical
aid
future
experimentation.
Information Discovery and Delivery,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
Purpose
The
purpose
of
this
paper
is
to
conduct
a
thorough
study
the
current
research
status
and
trends
Artificial
Intelligence-Generated
Content
(AIGC),
which
thriving
exerting
significant
influences
on
society,
economy
technology.
This
will
encompass
both
ample
opportunities
array
emerging
risks
challenges
associated
with
AIGC.
Furthermore,
seeks
propose
practical
optimization
strategies
facilitate
its
continued
development.
Design/methodology/approach
A
total
12,702
documents
in
Scopus,
CNKI
Altmetric.com
databases
are
analyzed
paper.
visualization
tools
CiteSpace
Netdraw
used
systematically
analyze
AIGC
from
macro,
meso
micro
perspectives
based
bibliometric
indicators.
analysis
combined
altmetrics
indicators
identify
hotspots
AIGC-related
predict
future
development
trends.
Finally,
substantive
suggestions
for
put
forward.
Findings
Research
has
found
that
firstly,
domestic
international
field
actively
catching
up
pace
era.
Institutions
authors
recognize
indispensability
collaboration,
leading
emergence
interdisciplinary
cooperation
Secondly,
at
thematic
level,
studies
cover
overall
AIGC,
including
technology,
applications,
coping
strategies.
However,
scholars
tend
focus
more
technological
breakthroughs,
while
researchers
emphasize
formulation
national
laws
regulations.
through
trends,
it
predicted
addressing
legal
issues
regarding
originality
enhancing
interactivity,
optimizing
emphasizing
ethical
considerations
efficiently
major
social
such
as
pandemics
using
Corresponding
proposed
ensure
consistent
global
consensus
values,
creating
beneficial
environment
sustainable
Originality/value
Firstly,
integrates
data
three
uses
multiple
software
comparative
perspectives.
not
only
analyzes
academic
influence
but
also
combines
explore
public’s
attitude
toward
method
reveals
institutions
researchers,
areas,
hotspot
evolution
research,
providing
theoretical
references
subsequent
research.
Additionally,
helps
governments,
organizations
precisely
wisely
formulate
policies
investments,
well
effectively
comprehend
promote
advancement
technology
applications.
Database,
Journal Year:
2025,
Volume and Issue:
2025
Published: Jan. 1, 2025
Abstract
Severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
has
been
circulating
and
adapting
within
the
human
population
for
>4
years.
A
large
number
of
mutations
have
occurred
in
viral
genome,
resulting
significant
variants
known
as
concern
(VOCs)
interest
(VOIs).
The
spike
(S)
protein
harbors
many
characteristic
VOCs
VOIs,
efforts
made
to
explore
functional
effects
S
protein,
which
can
cause
or
contribute
infection,
transmission,
immune
evasion,
pathogenicity,
illness
severity.
However,
knowledge
understanding
are
dispersed
throughout
various
publications,
there
is
a
lack
well-structured
database
annotation
that
based
on
manual
curation.
AnnCovDB
provides
manually
curated
annotations
SARS-CoV-2.
Mutations
carried
by
at
least
8000
GISAID
were
chosen,
then
utilized
query
keywords
search
PubMed
database.
searched
publications
revealed
2093
entities
205
single
93
multiple
curated.
These
organized
into
multilevel
hierarchical
categories
user
convenience.
For
example,
one
entity
N501Y
mutation
was
‘Infectious
cycle➔Attachment➔ACE2
binding
affinity➔Increase’.
be
used
specific
browse
through
function
entities.
Database
URL:
https://AnnCovDB.app.bio-it.tech/
Proceedings of the National Academy of Sciences,
Journal Year:
2025,
Volume and Issue:
122(8)
Published: Feb. 18, 2025
Large
language
models
(LLMs)
are
capable
of
writing
grammatical
text
that
follows
instructions,
answers
questions,
and
solves
problems.
As
they
have
advanced,
it
has
become
difficult
to
distinguish
their
output
from
human-written
text.
While
past
research
found
some
differences
in
features
such
as
word
choice
punctuation
developed
classifiers
detect
LLM
output,
none
studied
the
rhetorical
styles
LLMs.
Using
several
variants
Llama
3
GPT-4o,
we
construct
two
parallel
corpora
human-
LLM-written
texts
common
prompts.
Douglas
Biber’s
set
lexical,
grammatical,
features,
identify
systematic
between
LLMs
humans
different
These
persist
when
moving
smaller
larger
ones
for
instruction-tuned
than
base
models.
This
observation
demonstrates
despite
advanced
abilities,
struggle
match
human
stylistic
variation.
Attention
more
linguistic
can
hence
patterns
behavior
not
previously
recognized.
AI and Ethics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 6, 2025
Abstract
The
recent
development
and
use
of
generative
AI
(GenAI)
has
signaled
a
significant
shift
in
research
activities
such
as
brainstorming,
proposal
writing,
dissemination,
even
reviewing.
This
raised
questions
about
how
to
balance
the
seemingly
productive
uses
GenAI
with
ethical
concerns
authorship
copyright
issues,
biased
training
data,
lack
transparency,
impact
on
user
privacy.
To
address
these
concerns,
many
Higher
Education
Institutions
(HEIs)
have
released
institutional
guidance
for
researchers.
better
understand
that
is
being
provided
we
report
findings
from
thematic
analysis
guidelines
thirty
HEIs
United
States
are
classified
R1
or
“very
high
activity.”
We
found
researchers:
(1)
asks
them
refer
external
sources
information
funding
agencies
publishers
keep
updated
resources
education;
(2)
learn
specific
attributes
shape
predictive
modeling,
knowledge
cutoff
date,
data
provenance,
model
limitations,
educate
themselves
authorship,
attribution,
privacy,
intellectual
property
issues;
(3)
includes
instructions
acknowledge
disclose
GenAI,
communicate
effectively
their
use,
alerts
researchers
long
term
implications
over
reliance
legal
consequences,
risks
institutions
use.
Overall,
places
onus
compliance
individual
making
accountable
any
lapses,
thereby
increasing
responsibility.
