Elhadad N

Despite its centrality to women's health, the menstrual cycle remains understudied in computational health research due to its complexity, variability, and limited data availability. Recent advances in generative artificial intelligence (AI…

Understanding mobile Health (mHealth) user engagement patterns and its association to adherence in chronic disease populations is critical for data quality and clinical outcomes. Yet, this remains unexplored and a missed opportunity, given …

Endometriosis is a prevalent, complex, inflammatory condition associated with a diverse range of symptoms and comorbidities. Despite its substantial burden on patients, population-level studies that explore its comorbid patterns and heterog…

Endometriosis is a prevalent, complex, inflammatory condition associated with a diverse range of symptoms and comorbidities. Despite its substantial burden on patients, population-level studies that explore its comorbid patterns and heterog…

In this study, we assessed if women with endometriosis have greater odds than matched controls of receiving an autoimmune diagnosis within two-years of their endometriosis diagnosis. We conducted a retrospective cohort study using two large…

We report the findings of a genome-wide association study (GWAS) meta-analysis of endometriosis across 14 biobanks worldwide, including 32% non-European patient participants, as part of the Global Biobank Meta-Analysis Initiative (GBMI). Ou…

We assess racial disparities in medication prescription patterns for endometriosis patients across Medicaid administrative claims data. We use ATC 3rd level drug codes to identify drug classes prescribed significantly more frequently for en…

Emily L Leventhal,1,2 Nivedita Nukavarapu,1,2 Noemie Elhadad,3 Suzanne R Bakken,4 Michal A Elovitz,5 Robert P Hirten,1,2,6 Jovita Rodrigues,1,2 Matteo Danieletto,1,2 Kyle Landell,1,2 Ipek Ensari1,2 1Windreich Department of Artificial Intell…

Background: Female chronic pelvic pain disorders (CPPDs) affect 1 in 7 women worldwide and are characterized by psychosocial comorbidities, including a reduced quality of life and 2– 10-fold increased risk of depression and anxiety. Despite…

Endometriosis is a complex and heterogeneous condition affecting 10% of reproductive-age women, and yet, it often goes undiagnosed for several years. Limited observed heritability (7%) of large genetic association studies may be attributabl…

BACKGROUND: Endometriosis affects 10% of reproductive-age women, and yet, it goes undiagnosed for 3.6 years on average after symptoms onset. Despite large GWAS meta-analyses (N > 750,000), only a few dozen causal loci have been identified. …

We report the findings of a genome-wide association study (GWAS) meta-analysis of endometriosis consisting of a large portion (31%) of non-European samples across 14 biobanks worldwide as part of the Global Biobank Meta-Analysis Initiative …

STUDY QUESTION: Do recent changes in European Society of Human Reproduction and Embryology (ESHRE) clinical guidelines result in more comprehensive diagnosis of women with endometriosis? SUMMARY ANSWER: The latest shift in clinical guideli…

Background Cardiometabolic diseases are highly comorbid, but their relationship with female-specific or overwhelmingly female-predominant health conditions (breast cancer, endometriosis, pregnancy complications) is understudied. This study …

BACKGROUND: Endometriosis is a chronic disease with a long time to diagnosis and several known comorbidities that requires a range of treatments including of pain management and hormone-based medications. Racial disparities specific to endo…

OBJECTIVES: This study investigates the association of daily physical exercise with pain symptoms in endometriosis. We also examined whether an individual's typical weekly (ie, habitual) exercise frequency influences (ie, moderates) the rel…

Objectives This study investigates the concurrent and construct validity of a brief, customizable exercise self-tracking item from a research mHealth App (“Phendo”) for use as a measure of day-level and habitual exercise behavior in endomet…

Background Cardiometabolic diseases are highly comorbid and associated with poor health outcomes. However, the investigation of the relationship between the genetic predisposition to cardiometabolic diseases with the risk of conditions uniq…

Abstract Cardiometabolic diseases are highly comorbid, but their relationship with female-specific health conditions (breast cancer, endometriosis, pregnancy complications) is understudied. Using electronic health record data from 71,008 a…

Abstract We characterize short-term and long-term user engagement patterns in a self-tracking, mobile health app. We introduce and define engagement metrics to capture the quantity, duration, and density of participant engagement according…

ObjectiveTo explore experiences of symptoms of suspected or confirmed COVID-19 illness among women using the CovidWatcher mobile citizen science app.DesignConvergent parallel mixed-methods design.ParticipantsTwenty-eight self-identified wom…

ObjectiveThe study sought to build predictive models of next menstrual cycle start date based on mobile health self-tracked cycle data. Because app users may skip tracking, disentangling physiological patterns of menstruation from tracking …

In chronic conditions, patients and providers need support in understanding and managing illness over time. Focusing on endometriosis, an enigmatic chronic condition, we conducted interviews with specialists and focus groups with patients t…

BACKGROUND: Self-tracking through mobile health technology can augment the electronic health record (EHR) as an additional data source by providing direct patient input. This can be particularly useful in the context of enigmatic diseases a…

Digital technologies such as smartphones are transforming the way scientists conduct biomedical research. Several remotely conducted studies have recruited thousands of participants over a span of a few months allowing researchers to collec…