International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(24), С. 13371 - 13371
Опубликована: Дек. 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.
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/.
Royal Society Open Science,
Год журнала:
2025,
Номер
12(4)
Опубликована: Апрель 1, 2025
Artificial
intelligence
chatbots
driven
by
large
language
models
(LLMs)
have
the
potential
to
increase
public
science
literacy
and
support
scientific
research,
as
they
can
quickly
summarize
complex
information
in
accessible
terms.
However,
when
summarizing
texts,
LLMs
may
omit
details
that
limit
scope
of
research
conclusions,
leading
generalizations
results
broader
than
warranted
original
study.
We
tested
10
prominent
LLMs,
including
ChatGPT-4o,
ChatGPT-4.5,
DeepSeek,
LLaMA
3.3
70B,
Claude
3.7
Sonnet,
comparing
4900
LLM-generated
summaries
their
texts.
Even
explicitly
prompted
for
accuracy,
most
produced
those
with
70B
overgeneralizing
26-73%
cases.
In
a
direct
comparison
human-authored
summaries,
LLM
were
nearly
five
times
more
likely
contain
broad
(odds
ratio
=
4.85,
95%
CI
[3.06,
7.70],
p
<
0.001).
Notably,
newer
tended
perform
worse
generalization
accuracy
earlier
ones.
Our
indicate
strong
bias
many
widely
used
towards
posing
significant
risk
large-scale
misinterpretations
findings.
highlight
mitigation
strategies,
lowering
temperature
settings
benchmarking
accuracy.
Proceedings of the National Academy of Sciences,
Год журнала:
2025,
Номер
122(20)
Опубликована: Май 14, 2025
Large
language
models
(LLMs)
show
emergent
patterns
that
mimic
human
cognition.
We
explore
whether
they
also
mirror
other,
less
deliberative
psychological
processes.
Drawing
upon
classical
theories
of
cognitive
consistency,
two
preregistered
studies
tested
GPT-4o
changed
its
attitudes
toward
Vladimir
Putin
in
the
direction
a
positive
or
negative
essay
it
wrote
about
Russian
leader.
Indeed,
GPT
displayed
attitude
change
mimicking
dissonance
effects
humans.
Even
more
remarkably,
degree
increased
sharply
when
LLM
was
offered
an
illusion
choice
which
(positive
negative)
to
write,
suggesting
manifests
functional
analog
humanlike
selfhood.
The
exact
mechanisms
by
model
mimics
and
self-referential
processing
remain
be
understood.
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(24), С. 13371 - 13371
Опубликована: Дек. 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.
