Advancing Optical Nanosensors with Artificial Intelligence: A Powerful Tool to Identify Disease-Specific Biomarkers in Multi-omics Profiling
Bakr Ahmed Taha,
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Zahraa Mustafa Abdulrahm,
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Ali J. Addie
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et al.
Talanta,
Journal Year:
2025,
Volume and Issue:
287, P. 127693 - 127693
Published: Feb. 4, 2025
Language: Английский
Advanced Carriers for Precise Delivery and Therapeutic Mechanisms of Traditional Chinese Medicines: Integrating Spatial Multi‐Omics and Delivery Visualization
Advanced Healthcare Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 19, 2025
Abstract
The
complex
composition
of
traditional
Chinese
medicines
(TCMs)
has
posed
challenges
for
in‐depth
study
and
global
application,
despite
their
abundance
bioactive
compounds
that
make
them
valuable
resources
disease
treatment.
To
overcome
these
obstacles,
it
is
essential
to
modernize
TCMs
by
focusing
on
precise
This
involves
elucidating
the
structure‐activity
relationships
within
compositions,
ensuring
accurate
in
vivo
delivery,
monitoring
delivery
process.
review
discusses
research
progress
precision
treatment
from
three
perspectives:
spatial
multi‐omics
technology
therapeutic
activity,
carrier
systems
medical
imaging
visualizing
aim
establish
a
novel
paradigm
advances
therapy
TCMs.
Language: Английский
Current advancement of immune function paradox of tumour-infiltrating cells and their immunotherapeutic targets: a mini-review
Naunyn-Schmiedeberg s Archives of Pharmacology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 10, 2025
Language: Английский
Multi-omic profiling in breast cancer: utility for advancing diagnostics and clinical care
Expert Review of Molecular Diagnostics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 7, 2025
Breast
cancer
remains
a
major
global
health
challenge.
While
advances
in
precision
oncology
have
contributed
to
improvements
patient
outcomes
and
provided
deeper
understanding
of
the
biological
mechanisms
that
drive
disease,
historically,
research
patients'
allocation
treatment
heavily
relied
on
single-omic
approaches,
analyzing
individual
molecular
dimensions
such
as
genomics,
transcriptomics,
or
proteomics.
these
deep
insights
into
breast
biology,
they
often
fail
offer
complete
disease's
complex
landscape.
In
this
review,
authors
explore
recent
advancements
multi-omic
realm
using
clinical
data
show
how
integration
can
more
holistic
alterations
their
functional
consequences
underlying
cancer.
The
overall
developments
AI
are
expected
complement
diagnostics
through
potentially
refining
prognostic
models,
selection.
Overcoming
challenges
cost,
complexity,
lack
standardization
is
crucial
for
unlocking
full
potential
multi-omics
care
enable
advancement
personalized
treatments
improve
outcomes.
Language: Английский