Deep Learning‐Enhanced Chemiluminescence Vertical Flow Assay for High‐Sensitivity Cardiac Troponin I Testing
Small,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 5, 2025
Democratizing
biomarker
testing
at
the
point-of-care
requires
innovations
that
match
laboratory-grade
sensitivity
and
precision
in
an
accessible
format.
Here,
high-sensitivity
detection
of
cardiac
troponin
I
(cTnI)
is
demonstrated
through
chemiluminescence-based
sensing,
imaging,
deep
learning-driven
analysis.
This
chemiluminescence
vertical
flow
assay
(CL-VFA)
enables
rapid,
low-cost,
precise
quantification
cTnI,
a
key
protein
for
assessing
heart
muscle
damage
myocardial
infarction.
The
CL-VFA
integrates
user-friendly
chemiluminescent
paper-based
sensor,
polymerized
enzyme-based
conjugate,
portable
high-performance
CL
reader,
neural
network-based
cTnI
concentration
inference
algorithm.
measures
over
broad
dynamic
range
covering
six
orders
magnitude
operates
with
50
µL
serum
per
test,
delivering
results
25
min.
system
achieves
limit
0.16
pg
mL-1
average
coefficient
variation
under
15%,
surpassing
traditional
benchtop
analyzers
by
order
magnitude.
In
blinded
validation,
computational
accurately
concentrations
patient
samples,
demonstrating
robust
correlation
against
clinical-grade
FDA-cleared
analyzer.
These
highlight
potential
as
diagnostic
tool
accessible,
rapid
meets
needs
diverse
healthcare
settings,
from
emergency
care
to
underserved
regions.
Язык: Английский
A Refined Human Linear B Cell Epitope Map of Outer Surface Protein C (OspC) From the Lyme Disease Spirochete, Borrelia burgdorferi
Pathogens and Immunity,
Год журнала:
2025,
Номер
10(1), С. 159 - 186
Опубликована: Фев. 14, 2025
Background:
A
detailed
understanding
of
the
human
antibody
response
to
outer
surface
protein
C
(OspC)
Borrelia
burgdorferi
has
important
implications
for
Lyme
disease
diagnostics
and
vaccines.
Methods:
In
this
report,
13
peptides
encompassing
8
reported
OspC
linear
B-cell
epitopes
from
types
A,
B,
K,
including
largely
conserved
C-terminus
(residues
193-210),
were
evaluated
by
multiplex
immunoassay
(MIA)
IgG
reactivity
with
~700
serum
samples
confirmed
positive
in
a
2-tiered
diagnostic
assay
(Bb+)
~160
post-treatment
(PTLD)
samples.
The
vmp-like
sequence
E
(VlsE)
C6-17
peptide
was
included
as
control.
Results:
Serum
Bb+
reactive
10
OspC-derived
tested,
C-terminal
193-210)
being
most
reactive.
Spearman’s
rank
correlation
matrices
hierarchical
clustering
revealed
strong
between
193-210
VlsE
but
little
demonstrable
association
other
or
recombinant
OspC.
reactivities
(excluding
strongly
correlated
each
disproportionately
influenced
subset
pan-reactive
PTLD
sample
set,
none
significantly
over
baseline,
even
though
remained.
Conclusions:
asynchronous
potentially
short-lived
serologic
reveal
complexity
responses
B.
lipoproteins
confounds
interpretation
profiles
diagnostics.
Язык: Английский
Machine learning in point-of-care testing: innovations, challenges, and opportunities
Nature Communications,
Год журнала:
2025,
Номер
16(1)
Опубликована: Апрель 2, 2025
Язык: Английский
Intelligent nanophotonics: when machine learning sheds light
eLight,
Год журнала:
2025,
Номер
5(1)
Опубликована: Апрель 11, 2025
Язык: Английский
Lyme borreliosis vaccine VLA15 tested safe and immunogenic in children and adolescents
The Lancet Infectious Diseases,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Innovative Screening Methods to Reduce the Misdiagnosis of Lyme Disease: Public Health and Global Implications
The Microbe,
Год журнала:
2025,
Номер
unknown, С. 100366 - 100366
Опубликована: Апрель 1, 2025
Язык: Английский
Physics and artificial intelligence: illuminating the future of optics and photonics
Advanced Photonics,
Год журнала:
2024,
Номер
6(05)
Опубликована: Окт. 31, 2024
The
2024
Nobel
Prize
in
Physics
recognized
John
Hopfield
and
Geoffrey
Hinton
for
their
pioneering
work
on
artificial
neural
networks,
which
profoundly
impacted
the
physical
sciences,
particularly
optics
photonics.
This
perspective
summarizes
laureates'
contributions,
highlighting
physics-based
principles
inspiration
behind
development
of
modern
intelligence
(AI)
also
outlining
some
emerging
major
advances
achieved
photonics
enabled
by
AI.
Язык: Английский