Therapeutic potential and pharmacological mechanisms of Traditional Chinese Medicine in gout treatment
Acta Pharmacologica Sinica,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 17, 2025
Язык: Английский
The Human Touch in Acupuncture: A Future with Artificial Intelligence?
OBM Integrative and Complementary Medicine,
Год журнала:
2025,
Номер
010(01), С. 1 - 6
Опубликована: Янв. 7, 2025
Acupuncture,
an
ancient
practice
in
traditional
Chinese
medicine,
is
founded
on
understanding
of
human
physiology
and
the
dynamics
energy
flow
(Qi).
The
emergence
artificial
intelligence
(AI)
modern
medicine
presents
opportunities
to
integrate
advanced
technologies
into
acupuncture,
enhancing
diagnostic
precision
empirical
validation.
AI
tools
can
analyze
complex
datasets,
model
dynamics,
provide
evidence-based
insights,
potentially
bridging
methodologies
with
scientific
paradigms.
However,
element,
characterized
by
intuition,
empathy,
holistic
decision-making,
remains
central
effective
treatment.
This
editorial
explores
transformative
potential
its
limitations,
importance
preserving
relational
manual
aspects
practice.
By
fostering
a
synergistic
relationship
between
practitioners,
acupuncture
advance
as
scientifically
validated
yet
human-centered
therapeutic
modality.
Ethical
considerations
balanced
integration
are
imperative
ensure
that
technological
innovations
complement
rather
than
overshadow
core
values
this
healing
art.
Язык: Английский
An AI-driven strategy for active compounds discovery and non-destructive quality control in traditional Chinese medicine: a case of Xuefu Zhuyu Oral Liquid
Talanta,
Год журнала:
2025,
Номер
unknown, С. 127627 - 127627
Опубликована: Янв. 1, 2025
Язык: Английский
Traditional Herbal Medicine Pithecellobium clypearia (Jack) Benth: Research progress in chemical constituents and pharmacological activities
Journal of Ethnopharmacology,
Год журнала:
2025,
Номер
unknown, С. 119635 - 119635
Опубликована: Март 1, 2025
Язык: Английский
Artificial intelligence in traditional Chinese medicine: advances in multi-metabolite multi-target interaction modeling
Frontiers in Pharmacology,
Год журнала:
2025,
Номер
16
Опубликована: Апрель 15, 2025
Traditional
Chinese
Medicine
(TCM)
utilizes
multi-metabolite
and
multi-target
interventions
to
address
complex
diseases,
providing
advantages
over
single-target
therapies.
However,
the
active
metabolites,
therapeutic
targets,
especially
combination
mechanisms
remain
unclear.
The
integration
of
advanced
data
analysis
nonlinear
modeling
capabilities
artificial
intelligence
(AI)
is
driving
transformation
TCM
into
precision
medicine.
This
review
concentrates
on
application
AI
in
target
prediction,
including
multi-omics
techniques,
TCM-specialized
databases,
machine
learning
(ML),
deep
(DL),
cross-modal
fusion
strategies.
It
also
critically
analyzes
persistent
challenges
such
as
heterogeneity,
limited
model
interpretability,
causal
confounding,
insufficient
robustness
validation
practical
applications.
To
enhance
reliability
scalability
future
research
should
prioritize
continuous
optimization
algorithms
using
zero-shot
learning,
end-to-end
architectures,
self-supervised
contrastive
learning.
Язык: Английский
Integrating Natural Product Research Laboratory with artificial intelligence: advancements and breakthroughs in traditional medicine
Biomedicine,
Год журнала:
2024,
Номер
14(4)
Опубликована: Дек. 1, 2024
The
Natural
Product
Research
Laboratory
(NPRL)
of
China
Medical
University
Hospital
(CMUH)
was
established
in
collaboration
with
CMUH
and
Professor
Kuo-Hsiung
Lee
from
the
North
Carolina
at
Chapel
Hill.
laboratory
collection
features
over
6,000
natural
products
worldwide,
including
pure
compounds
semi-synthetic
derivatives.
This
is
most
comprehensive
fully
operational
product
database
Taiwan.
review
article
explores
history
development
NPRL
CMUH.
We
then
provide
an
overview
recent
applications
impact
artificial
intelligence
(AI)
new
drug
discovery.
Finally,
we
examine
advanced
powerful
AI-tools
related
software
to
explain
how
these
resources
can
be
utilized
research
on
large-scale
data
libraries.
presents
a
(R&D)
platform
that
combines
AI
NPRL.
believe
this
approach
will
reduce
resource
wastage
enhance
capabilities
Taiwan's
academic
industrial
sectors
biotechnology
pharmaceuticals.
Язык: Английский