Fertility
Vaginal health test provides first-of-its-kind fertility insights

Women’s precision healthcare company Evvy is launching Fertility Insights within its flagship Vaginal Microbiome Test, which provides insights on the role of the vaginal microbiome in fertility.
The vaginal microbiome is the community of bacteria, fungi, and viruses that live in the vagina – and emerging research highlights its crucial role in reproductive health. An imbalance in the vaginal microbiome can increase inflammation and the risk of infection in the reproductive tract, creating a less hospitable environment for conception.
On the other hand, a microbiome dominated by protective bacteria, such as Lactobacillus crispatus, has been associated with improved fertility, successful implantation, and improved pregnancy outcomes.
Today, one-third of all infertility cases are diagnosed as “unexplained.” While research has long linked vaginal microbial imbalances to infertility, recurrent pregnancy loss, and preterm birth, in-depth vaginal microbiome testing had not been widely accessible.
Evvy is closing this gap by providing first-of-its-kind, fertility-specific insights to help individuals understand and optimise this crucial but often overlooked aspect of their reproductive health.
“The connection between the vaginal microbiome and fertility is one of the most exciting frontiers in reproductive health,” said Dr. Kate McLean, Chief Medical Officer at Evvy.
“We’ve seen compelling research linking specific vaginal bacteria to everything from embryo implantation to pregnancy loss – yet this crucial information wasn’t available to patients or providers in fertility care. By making these insights accessible, Evvy is bridging the gap between cutting-edge science and real-world clinical impact, giving individuals and providers a new tool to support reproductive success.”
Evvy’s test result now includes a new section for fertility insights including a measure of the levels of protective bacteria that are associated with positive outcomes, a measure of overall microbiome diversity, and levels of bacteria specifically associated with negative fertility outcomes, including Fannyhessea, Gardnerella, and Prevotella.
In addition to the insights, Evvy provides access to care protocols to optimise the vaginal microbiome through personalised prescription treatments, lifestyle recommendations, and 1:1 health coaching.
“For too long, fertility has been treated like a black box leaving millions of people searching for answers with no clear path forward,” said Priyanka Jain, co-founder and CEO of Evvy.
“By expanding our Vaginal Microbiome Test to include fertility insights, we’re giving people the power to take control of their reproductive health with comprehensive testing and data-driven, personalised care.”
Fertility
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Fertility
AI could transform ovarian care through personalisation, study finds

AI could transform ovarian care by personalising cancer and fertility treatment, but more clinical validation is needed before routine use.
A systematic review and meta-analysis found AI models showed high diagnostic accuracy for ovarian cancer when combining data such as ultrasound scans and blood test results.
Across 81 studies, AI models correctly identified ovarian cancer in around nine out of 10 cases, with pooled rates of 89 to 94 per cent.
They were also highly accurate at ruling out ovarian cancer when it was not present, with specificity of 85 to 91 per cent.
The analysis also found that explainable AI tools could predict complete surgical cytoreduction in advanced ovarian cancer.
Complete surgical cytoreduction means removing all visible cancer during surgery, which can be an important goal in treatment planning.
The tools achieved a pooled AUC of 0.87. AUC is a measure of how well a model distinguishes between different outcomes, with higher scores showing stronger performance.
In reproductive medicine, AI algorithms helped physicians optimise ovarian stimulation protocols and predict follicular growth during IVF.
Ovarian stimulation is the use of hormones to encourage the ovaries to produce eggs, while follicles are the small sacs in the ovaries where eggs develop.
The review found AI could reliably model ovarian response in IVF with a pooled AUC of 0.81.
However, researchers said challenges remain in translating promising research findings into routine clinical practice.
They identified substantial variation across studies, driven by retrospective study designs, variable AI systems and a lack of standardised validation.
Only 22 per cent of analysed studies reported prospective, multicentre external validation, where models are tested forward in time across multiple healthcare settings.
The authors called for rigorous validation to help close the gap between research and routine clinical practice, alongside standardised methodological and reporting frameworks, smooth integration with clinical workflow and robust governance to support responsible and ethical AI use.
They concluded: “Artificial intelligence is a transformative force in the management of ovarian conditions.
“In gynaecologic oncology, AI enhances every phase of care, from early detection and accurate diagnosis to prognostic stratification and surgical planning.”
In reproductive medicine, AI personalises ovarian stimulation and refines the diagnosis of heterogenous endocrine disorders such as PCOS.
PCOS, or polycystic ovary syndrome, is a hormonal condition that can affect periods, skin, weight and fertility.
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