Reproductive Biology and Endocrinology,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: May 23, 2024
Abstract
Background
Prospective
observational
studies
have
demonstrated
that
the
machine
learning
(ML)
-guided
noninvasive
chromosome
screening
(NICS)
grading
system,
which
we
called
screening-artificial
intelligence
(NICS-AI)
can
be
used
embryo
selection.
The
current
prospective
interventional
clinical
study
was
conducted
to
investigate
whether
this
NICS-AI
system
as
a
powerful
tool
for
Methods
Patients
who
visited
our
centre
between
October
2018
and
December
2021
were
recruited.
Grade
A
B
embryos
with
high
probability
of
euploidy
transferred
in
NICS
group.
patients
control
group
selected
according
traditional
morphological
grading.
Finally,
90
161
compared
statistically
their
outcomes.
Results
In
group,
pregnancy
rate
(70.0%
vs.
54.0%,
p
<
0.001),
ongoing
(58.9%
44.7%,
=
live
birth
(56.7%
42.9%,
0.001)
significantly
higher
than
those
When
female
≥
35
years
old,
(67.7%
32.1%,
(56.5%
25.0%,
(54.8%
Regardless
had
previous
record
early
spontaneous
abortion
or
not,
(61.0%
46.9%;
57.9%
34.8%;
33.3%
0%)
but
differences
not
significant.
Conclusions
able
improve
utilisation
rate,
especially
transfer
being
preferred,
followed
by
embryos.
an
effective
selection
future.
Human Reproduction,
Journal Year:
2024,
Volume and Issue:
39(3), P. 516 - 525
Published: Jan. 9, 2024
Abstract
STUDY
QUESTION
Does
fluorescence
lifetime
imaging
microscopy
(FLIM)-based
metabolic
assessment
of
human
blastocysts
prior
to
frozen
transfer
correlate
with
pregnancy
outcomes?
SUMMARY
ANSWER
FLIM
failed
distinguish
consistent
patterns
in
mitochondrial
metabolism
between
leading
compared
those
that
did
not.
WHAT
IS
KNOWN
ALREADY
measurements
provide
quantitative
information
on
NAD(P)H
and
flavin
adenine
dinucleotide
(FAD+)
concentrations.
The
embryos
has
long
been
linked
their
viability,
suggesting
the
potential
utility
aid
selection.
DESIGN,
SIZE,
DURATION
This
was
a
pilot
trial
enrolling
121
IVF
couples
who
consented
have
blastocyst
measured
using
non-invasive
imaging.
After
being
warmed,
105
couples’
good-quality
underwent
6-min
scan
controlled
temperature
gas
environment.
FLIM-assessed
were
then
transferred
without
any
intervention
management.
PARTICIPANTS/MATERIALS,
SETTING,
METHODS
Eight
parameters
obtained
from
each
(4
for
4
FAD):
short
lifetime,
intensity,
fraction
molecule
engaged
enzyme.
redox
ratio
(intensity
NAD(P)H)/(intensity
FAD)
also
calculated.
data
combined
known
metadata
analyzed
quantify
ability
differentiate
resulted
De-identified
discarded
aneuploid
(n
=
158)
correlations
ploidy
status
other
factors.
Statistical
comparisons
performed
logistic
regression
receiver
operating
characteristic
(ROC)
curves
5-fold
cross-validation
averaged
over
100
repeats
random
sampling.
AUC
values
used
classes.
MAIN
RESULTS
AND
THE
ROLE
OF
CHANCE
No
showed
significant
differences
resulting
versus
A
produced
an
ROC
0.58.
In
contrast,
robust
AUCs
when
classifying
factors
such
as
comparison
Day
5
64)
6
41)
(AUC
0.78),
inner
cell
mass
trophectoderm
105:
0.88)
euploid
positive
108)
0.82).
LIMITATIONS,
REASONS
FOR
CAUTION
study
protocol
not
select
which
embryo
cohort
included
all
high
quality.
limited
number
participants
sites.
Increased
power
performing
more
sites
may
provided
stronger
conclusion
regarding
merits
use
clinically.
WIDER
IMPLICATIONS
FINDINGS
Blastocyst
was,
however,
highly
distinguishable.
addition,
regions
day
consistently
revealed
by
FLIM.
While
detects
features
blastocysts,
this
indicates
it
does
serve
effective
viability
detection
tool.
be
because
plays
alternative
role
post-implantation.
FUNDING/COMPETING
INTEREST(S)
sponsored
Optiva
Fertility,
Inc.
Boston
contributed
clinical
site
services.
Becker
Hickl,
GmbH,
system
loan.
T.S.
founder
held
stock
Inc.,
D.S.
E.S.
had
options
during
study.
TRIAL
REGISTRATION
NUMBER
approved
WCG
Connexus
IRB
(Study
Number
1298156).
Cell Reports,
Journal Year:
2024,
Volume and Issue:
43(2), P. 113701 - 113701
Published: Jan. 26, 2024
Human
embryo
implantation
is
remarkably
inefficient,
and
failure
remains
among
the
greatest
obstacles
in
treating
infertility.
Gene
expression
data
from
human
embryos
have
accumulated
rapidly
recent
years;
however,
identification
of
subset
genes
that
determine
successful
a
challenge.
We
leverage
clinical
morphologic
grading—known
for
decades
to
correlate
with
potential—and
transcriptome
analyses
matched
embryonic
abembryonic
samples
identify
factors
pathways
enriched
depleted
blastocysts
good
poor
morphology.
Unexpectedly,
we
discovered
difference
was
state
extraembryonic
primitive
endoderm
(PrE)
development,
relative
deficiencies
morphology
blastocysts.
Our
results
suggest
success
most
strongly
influenced
by
compartment
deficient
PrE
development
common
decreased
potential.
study
provides
valuable
resource
those
investigating
markers
mechanisms
implantation.
Reproductive Biology and Endocrinology,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: May 23, 2024
Abstract
Background
Prospective
observational
studies
have
demonstrated
that
the
machine
learning
(ML)
-guided
noninvasive
chromosome
screening
(NICS)
grading
system,
which
we
called
screening-artificial
intelligence
(NICS-AI)
can
be
used
embryo
selection.
The
current
prospective
interventional
clinical
study
was
conducted
to
investigate
whether
this
NICS-AI
system
as
a
powerful
tool
for
Methods
Patients
who
visited
our
centre
between
October
2018
and
December
2021
were
recruited.
Grade
A
B
embryos
with
high
probability
of
euploidy
transferred
in
NICS
group.
patients
control
group
selected
according
traditional
morphological
grading.
Finally,
90
161
compared
statistically
their
outcomes.
Results
In
group,
pregnancy
rate
(70.0%
vs.
54.0%,
p
<
0.001),
ongoing
(58.9%
44.7%,
=
live
birth
(56.7%
42.9%,
0.001)
significantly
higher
than
those
When
female
≥
35
years
old,
(67.7%
32.1%,
(56.5%
25.0%,
(54.8%
Regardless
had
previous
record
early
spontaneous
abortion
or
not,
(61.0%
46.9%;
57.9%
34.8%;
33.3%
0%)
but
differences
not
significant.
Conclusions
able
improve
utilisation
rate,
especially
transfer
being
preferred,
followed
by
embryos.
an
effective
selection
future.