Select Research Partners
Clinical Research
Peer-reviewed publications and conference presentations validating Oova's technology.
Conference
Menopause Society
Oct 2025
Defining Perimenopause Stages Through Hormone Patterns: A Proof of Concept
1,745
WOMEN
88.25%
ML ACCURACY
Machine learning model trained on daily E3G, PdG, and LH achieved 88.25% accuracy in classifying STRAW+10 stages. Discovered perimenopause has 4 distinct subclusters -- it's a spectrum, not a single transition.
Read Full StudyConference
Oct 2023
Quantitative Urine Hormones Closely Mirror Serum Dynamics During IVF
15
PATIENTS
0.99
CORRELATION
At-home LH and PdG monitoring reproduced serum hormone patterns during ovarian stimulation and supported successful IVF treatment without routine serum assessment.
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ASRM 2023
Peer-Reviewed
Sept 2025
Using Hormone Data and Age to Pinpoint Cycle Day Within the Menstrual Cycle
1,233
WOMEN
95%
CYCLE DAY CONFIDENCE
Quantitative LH and PdG measurements combined with age can identify cycle day with 95% confidence. Revealed significant variability in follicular phase across age groups, challenging standard 28-day cycle assumptions.
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Medicina
Conference
Mar 2026
Real-world evidence from longitudinal hormone monitoring reveals hidden endocrine variability across menstrual cycles
4,988
Women
19.2%
Anovulatory Cycles
Among 3,457 LH-anchored cycles from 4,988 individuals, 19.2% were anovulatory despite LH surges, 51% of ovulatory cycles showed suboptimal luteal progesterone, and 61.5% of individuals had cycle-to-cycle hormonal inconsistency. Single-cycle assessment misses meaningful endocrine variability.
Peer-Reviewed
May 2025
Using Daily Hormone Tracking to Uncover the Impact of Anxiety and Sleep on Perimenopausal Hormone Fluctuations
161
WOMEN
p < 0.001
SIGNIFICANCE
Found E3G (estrogen) significantly correlates with sleep quality and anxiety levels. 9+ hours sleep = higher E3G; moderate anxiety = lower E3G. First study linking daily hormone data to perimenopause symptoms.
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ACOG Green Journal
Conference
Oct 2023
Early Progesterone Rise in the Follicular Phase: Predictor of Anovulation?
4,209
CYCLES
1,617
WOMEN
Discovered that timing of progesterone rise -- not peak level -- predicts anovulation. Anovulatory cycles show progesterone rise 6 days before LH peak vs 3 days in ovulatory cycles.
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ASRM
Conference
ePoster
Remote Monitoring of Cycle Trends in Patients of Advanced Maternal Age
1,782
WOMEN
7.23%
AMA ANOVULATION
Women over 34 had significantly higher anovulatory cycle frequency (7.23% vs 4.46%) compared to younger women. AMA patients also showed higher engagement with more cycles tracked.
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ASRM
Conference
Oct 2024
Understanding the Influence of BMI and PCOS on Menstrual Cycle and Ovulation Trends
16,697
CYCLES
2x
ANOVULATION RISK
PCOS patients are twice as likely to experience anovulatory cycles and have significantly longer follicular phases. Higher BMI + PCOS = longer cycles overall.
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ASRM
Conference
2022
Can Remote Fertility Hormone Testing Identify Patients with Reproductive Disorders?
1,821
USERS
p < 0.01
SIGNIFICANCE
PCOS patients had significantly lower LH peaks than those without reproductive conditions. Lower LH peaks may serve as a screening marker for PCOS.
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MRSi
Oova's white papers
White Paper
Oova
At-Home Quantitative LH & Progesterone Measurement Using ML-Powered Lateral Flow Immunoassay
R2=0.99
VS. LAB-GRADE READER
~24% CV
PDG PRECISION AT CLINICAL RANGE
Oova's smartphone reader matched a commercial countertop device (Axxin AX-2X-S) with R2=0.9944 across LH and PdG measurements. Batch-specific ML calibration corrects for lighting and lot variation, enabling quantitative hormone trending outside a lab setting.
White Paper
New Hope Fertility Center
Urine-Serum LH and PdG Correlation During IVF Stimulation: Validating At-Home Hormone Testing Against Serum Standards
LH 0.92
URINE-SERUM CORRELATION (P<0.001)
PdG 0.93
URINE-SERUM CORRELATION (P<0.001)
62 paired urine-serum observations across 15 IVF cycles at New Hope Fertility Center. Serum results were blinded to clinicians, and urine-based monitoring was sufficient for clinical decision-making. Peer-reviewed publication forthcoming.
White Paper
Oova
Oova: A two-in-one at-home test for measuring Luteinizing Hormone and Progesterone.
Studies conducted between 2019 and 2020 demonstrated that the Oova urine testing device accurately measures LH and PdG levels compared to commercial lab analysis, with consistent performance across users and manufacturing lots. Clinicians and technicians found the device easy to use and preferred it over traditional hormone monitoring methods, with potential to replace some lab work.








