Turn your
symptom data
into a treatment plan
SymptoLab converts daily symptom tracking into clear, personalized insights - so patients regain control of pain, clinicians get decision support for treatment planning, and health plans lower costs.
Powered by advanced analytics and machine learning to transform real-world symptom data into actionable medical insights.
Available for endometriosis - fertility support available
other hormone-related conditions coming up soon
Who we help?
Patients
See your symptoms over time, learn what helps and what triggers flares, and bring a concise report to your doctor - so you can regain control over your pain.
Clinicians
Science-based decision-support tool for personalized, adaptive treatment.
Our analytical engine applies statistical modeling and machine learning to uncover cross-system patterns, affected body systems, and treatment impact — enabling physicians to adjust care plans and make each appointment more focused and effective.
Health Plans
Analyzing outcomes over time enables earlier intervention, reduces unnecessary imaging and ER visits, avoids ineffective therapies, and lowers total cost of care.
SymptoLab in Action - 4 Simple Steps:
1.
Get Started
Currently available by physician referral through select clinics participating in our pilot program.
In the future, you’ll also be able to sign up directly or join through additional clinics as new pilot sites launch.
Join our waitlist to be notified when public enrollment opens or when new pilot clinics open up.
2.
Personalized Setup
Take part in a one-hour onboarding session with our team to create your custom daily symptom table and personalized pain scale, tailored to your unique condition - from head to toe.
3.
Daily Tracking
Log your symptoms, treatments, and lifestyle factors daily in the SymptoLab app for at least four months to uncover your personal patterns - learning what helps, what triggers pain, and how your symptoms change across your cycle. Integrate data from wearables when available.
4.
Reports & Review
Each month, your data is analyzed using statistical modeling and machine learning to reveal patterns, correlations, and treatment effectiveness. The results are summarized into a personalized medical report that maps your condition from symptom to body-system level. Your physician uses it to adjust treatment, while our team helps you interpret and understand the results.
Privacy First. You control what’s shared.
We may use only de-identified, aggregated data to advance women’s health research and improve our analytics.
We never sell personal data.
Our First Focus:
Understanding Endometriosis
A chronic, inflammatory, estrogen-dependent gynecological disease that often affects multiple body systems-and presents with many fluctuating symptoms.
Endometriosis pain isn’t confined to the pelvis; it can involve nerves, muscles, the gastrointestinal and urinary tracts, and more - making each patient’s disease profile unique.
Patients often struggle to communicate the full scope of their pain, while clinicians have limited time to interpret months of fluctuating symptoms during brief visits.
1 in 10
women
10M in the US
200M Worldwide
4-12
years
Average delay from first symptoms to diagnosis
across multiple body systems
30+ symptoms per patient
Compared with matched controls
3.5× higher
healthcare costs
$80B per year
U.S. healthcare economic burden
How SymptoLab Helps
SymptoLab doesn’t just display symptoms - it analyzes them.
The platform transforms daily tracking into clear, data-driven insights that show how symptoms evolve over time, which treatments are effective, and where patterns emerge - bringing clarity to one of the most complex, misunderstood conditions in women’s health.
Coming soon:
Fertility • Adenomyosis • Fibroids • PCOS • Fibromyalgia
Neuropathy • Pre-menopausal Conditions and more
Tamar’s Story:
From Patient to Founder
"During my postdoctoral research in theoretical chemistry, I became severely ill and spent two years bedridden."
Misdiagnosed for years,
"I applied my scientific skills to track and analyze my symptoms, uncovering patterns that revealed the root cause of each leading to my diagnosis of endometriosis and other conditions triggered by the disease.
By pinpointing these causes,
I worked with my physicians to receive targeted treatments and regained control over my health.
This experience inspired me to create SymptoLab, so other patients could benefit from the same data-driven approach to care."
Tamar Zelovich, PhD
CEO
Dr. Zelovich holds a PhD in Theoretical Chemistry and has a strong background in research, software development, algorithms, and mathematical modeling. She has applied advanced computational techniques across diverse fields - from renewable energy to quantum systems - and now focuses on computational health, transforming how endometriosis and hormone-related diseases are understood and managed.
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Alon Zelovich
CTO
Alon is a software and backend developer with a strong industry background, including significant roles as DBA and specialization in cloud architecture and data over the past two decades. Alon is responsible for constructing strategic cloud blueprints, designing scalable architectures, and optimizing data pipelines.
Meet the Co-Founders
Meet the Advisory Board
Noemie Elhadad, PhD
Head of Advisory Board
Dr. Elhadad is Associate Professor and Chair of Biomedical Informatics at Columbia University and Director of Medical Information Services at NewYork-Presbyterian. Her research focuses on artificial intelligence, human-centered computing, and women’s health.
Vered Klaitman-Meyer, MD
Board Member
Dr. Klaitman-Mayer is an obstetrician-gynecologist with extensive experience treating endometriosis. She currently serves as the Medical Director of Gynecology at Maccabi, South District, Israel.
Michael Lewis, MD
Board Member
Dr. Lewis is an obstetrician-gynecologist with a fellowship in Minimally Invasive Surgery from Stanford University. He currently serves as Director of Minimally Invasive Gynecologic Surgery and Associate Residency Program Director at NewYork-Presbyterian Brooklyn Methodist Hospital.
Taraneh Shirazian, MD
Board Member
Dr. Shirazian is an obstetrician-gynecologist and Assistant Professor at the NYU School of Medicine, specializing in minimally invasive gynecologic surgery and women’s health. She currently serves as Director of the Center for Fibroid Care and the Center for Global and Community Women’s Health at NYU Langone.
Turn your symptom data
into a treatment plan
“I finally saw what helped and what triggered my flares.”
“I felt validated - my symptoms were real, not random.”
''I felt more confident and prepared when talking to my doctor.''
“For the first time, my symptoms made sense - I finally understood my disease.”
“I could finally show my doctor the full picture of my condition.”
“Instead of my condition controlling me, I feel more in control of my life.”