patient care through
data & genomics

Browse our research

Celmatix research sits at the powerful intersection of an in-house interdisciplinary team of talented scientists, our large-scale datasets, and a network of top physicians and medical centers.


Six years of clinical and genetic research studies have yielded findings that are changing the treatment of infertility for the better.

Our data analytics research has revealed that up to 25% of IVF patients discontinue treatment while they still have a good likelihood of success.

Our cost effectiveness studies have demonstrated that more than 90% of patients would benefit from initiating with IVF or moving to IVF faster after failed non-IVF treatments.

Our whole genome sequencing efforts have revealed common molecular pathways that are disrupted in patients struggling to have a baby.

Our large-scale, meta-analysis work has revealed patterns in fertility disorders, such as endometriosis, that were not detectable on a smaller scale.

White papers

Celmatix research that has recently been presented at medical conferences.

Treatment efficiency

Initiation with or rapid progression to IVF with eSET is predicted to be the most cost effective strategy for all patients.

Egg-embryo transition

We have developed mathematical models to better understand the determinants of the oocyte-to-embryo transition in humans.

Gene expression

Our meta-analysis provides a more statistically powerful elucidation of gene expression signatures in endometriosis, revealing that therapies may be more effective at particular moments in the uterine cycle.

Obesity, PCOS, and IVF

Multivariate approaches reveal that obesity has a greater impact on IVF success rates in patients with PCOS.
Cost effectiveness
A retrospective study redefines best practices for fertility treatment planning
Data-mining one of the least understood mechanisms in fertility science
Using big data to refine the gene expression signature of endometriosis
Using multivariate approaches to assess factors impacting fertility treatment success

Publications & presentations

Over the past seven years, Celmatix has been developing an unprecedented understanding of reproductive function in humans by leveraging both clinical data science and genomics. We believe that both major advances in the treatment of infertility and proactive fertility management will arise from the intersection of clinical and genomic data.
August 2018

The effect of female body mass index on in vitro fertilization cycle outcomes: a multi-center analysis

March 2018

Genome-wide association study of time-to-first-conception in >36,000 women

Characterization of intra- and interpatient variability and trajectory of ovarian reserve measures in 121,737 women

April 2018

Applying evidence-ranking frameworks for evaluating gene- and variant-disease associations with female reproductive conditions

December 2017

At the dawn of personalized reproductive medicine: opportunities and challenges with incorporating multigene panel testing into fertility care

August 2017

Freeze-only versus fresh embryo transfer in multicenter matched cohort study: contribution of progesterone and maternal age to success rates

July 2017

Beyond karyotype and FMR1: genetic testing for primary ovarian insufficiency

June 2017

The cumulative dose of gonadotropins used for controlled ovarian stimulation does not influence the odds of embryonic aneuploidy in patients with normal ovarian response

March 2017

Low BMI is Associated with Poorer Infertility Treatment Outcomes: Analysis of 249,436 Treatment Cycles from 13 US Fertility Clinics

October 2017

Frozen transfer is superior to fresh transfer of screened, euploid embryos

Leveraging artificial intelligence for more data-driven patient counseling after failed IVF cycles

July 2017

Alterations in endocrine and paracrine regulation of oocyte maturation and folliculogenesis underlie the etiology of primary ovarian insufficiency

Applying data-driven approaches to develop a novel ovarian reserve score that leverages underlying relationships between distinct markers of ovarian reserve

Evaluation of 15,788 in vitro fertilization (IVF) cycles for predictive value of anti-Müllerian hormone (AMH) levels on clinically usable embryos and ongoing pregnancy

March 2017

Success rates vary by ovulation induction protocol and body mass index: toward personalized medicine for intrauterine insemination

Identification and characterization of 71 genetic variants significantly associated with female reproductive conditions

October 2016

Systematic literature review and meta-analysis reveals the biological functions most frequently altered in endometriosis

Development of personalized predictive models for non-IVF and IVF procedures in lesbian and single women sheds light on applicability of infertility biomarkers to women of unknown fertility status

The disruption of genes involved in oogenesis is significantly associated with longer time or failure to achieve live birth in patients undergoing IVF

Successive single embryo transfer cycles lead to reduced risk without compromising success rates in women under 38

June 2016

Amh levels, independent of age, are a significant marker for risk of miscarriage following post-IVF embryo transfer

Decoding mammalian fertility: characterising the genetic loci implicated in male fertility potential

Multi-center study demonstrates freeze-all IVF protocols are correlated with higher ongoing pregnancy rates in women of advanced maternal age

Whole genome sequencing analysis reveals genes related to lipid metabolism and inflammation are disrupted in women across different infertility diagnoses

March 2016

Pregnancy loss is a major risk for premature IVF treatment discontinuation

Whole genome sequencing reveals common genetic pathways underlying ovarian function disorders

October 2015

Patient treatment journeys, then and now: 10 years of clinical progress

Optimizing gonadotropin stimulation to maximize the likelihood of obtaining euploid embryos

No longer unexplained: Whole genome sequencing reveals subclinical drivers of infertility

Whole genome sequencing reveals key genetic pathways underlying the differences between primary ovarian insufficiency and diminished ovarian reserve

June 2015

Using big data approaches to refine the gene expression signature of endometriosis

Whole genome sequencing reveals the complex etiology of primary ovarian insufficiency

Personalized IVF outcome predictions provide more optimistic and precise outlooks than age-based national averages

March 2015

Rapid progression to IVF with single embryo transfer as the standard of care for infertility: results from a multi-center cost-effectiveness study

October 2014

An Open Letter To The Primary Ovarian Insufficiency Community

September 2014

Female Cystic Fibrosis Mutation Carriers And Assisted Reproductive Technology: Does Carrier Status Affect Reproductive Outcomes?

October 2014

Most Patients Would Benefit From Moving More Quickly To IVF: Results From A Cost-Effectiveness Analysis Of A Large Retrospective Cohort

Meta-Analysis Reveals A Novel Role For Mediators Of Active Cell Migration And Axon Guidance In Endometriosis

Obesity Has A Greater Impact On IVF Success Rates In Patients With PCOS

September 2013

Personalized Reproductive Medicine On The Brink: Progress, Opportunities And Challenges Ahead

October 2013

Accurate Prediction Of The Number Of Cycles To Achieve Live Birth

Targeted Resequencing Sheds Light On The Etiology Of Unexplained Female Infertilty

A Novel Role For Genomic Copy Number Variants In Female Infertility

Improved Determination Of Ectopic Pregnancy Risk In Patients Undergoing In Vitro Fertilization Treatment Using Time-To-Event Models

Patients Discontinue Assisted Reproductive Technology (ART) Too Early: The Results Of A Large Multiyear Cohort Study

Whole Genome Sequencing For Female Infertility Biomarker Discovery

March 2012

Patients Need Not Be Concerned When Their IVF Retrievals And Transfers Fall On A Weekend

Analysis Of The Effects Of Phasing Out IVF Laboratory Scheduled Maintainence Periods

October 2012

Understanding The Incidence, Etiology And Effect Of Retained Embryos Following Embryo Transfer

October 2011

Daily IVF Retrieval Variation Does Not Affect Patient Success Rates With High Quality Equipment And Appropriate Laboratory Staffing

Journal of Assisted Reproduction and Genetics
The effect of female body mass index on in vitro fertilization cycle outcomes: a multi-center analysis
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fertility & sterility
Female cystic fibrosis mutation carriers and assisted reproductive technology: does carrier status affect reproductive outcomes?
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minerva ginecologica
An open letter to the primary ovarian insufficiency community
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Reproductive Biomedicine online
Personalized reproductive medicine on the brink: progress, opportunities and challenges ahead
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Research partnerships

PReM is an alliance created to investigate what an individual’s genetic signature and personalized metrics say about his or her overall ability to have a baby. These insights have the potential to revolutionize how fertility difficulties are diagnosed, treated, and possibly prevented.


23andMe and Celmatix have embarked on an ambitious research collaboration to improve infertility outcomes.


We’ve partnered with the Icahn School of Medicine at Mount Sinai BioMe Biobank Program to uncover how a woman’s genetic information might influence her fertility.