Fertility
Interview: Bloom Diagnostics’ Dr Angelica Kohlmann

As a new home fertility test is approved, Femtech World finds out how digital technology could transform healthcare around the world.
Dr Angelica Kohlmann joins our call from Austria. As the executive chairman of the Swiss company Bloom Diagnostics, she is happy to announce its new at-home Ovarian Reserve test that measures the AMH (anti-Müllerian hormone) level and gives patients encrypted results on an app.
Her aim is to make fertility tests accessible to everyone using a cheaper and less invasive procedure and the AMH test marks a major step towards a digitalisation of the medical world.
“This is the future,” Angelica says. “We will have a healthcare system where if you don’t feel well in the morning, you open an app that will register your symptoms and guide you from there,” she says.
“You will receive an e-prescription and have your medication delivered to your door. This way you will be fully taken care of from home without the risk of being infected in a hospital.”
The pandemic has accelerated the transition towards digital technology within the NHS in order to free up space, enable remote working and reduce the risk of infection transmission. According to a recent report, there has also been a surge in patients’ uptake of remote health services, including registrations for the NHS app and e-prescription services.
Angelica describes Bloom’s test as a huge development. “We decided to develop a home test because until today, the only way to have it done was by going to a gynaecologist and we thought that was obsolete,” she explains.
“So, we digitised, so to say, the drop of blood. We allow women to take the test multiple times a year and we created the first global AMH test that gives feedback in real time. It was a challenge in the beginning, because AMH has very low concentrations in your blood, meaning that detection is not that easy with rapid tests. But we solved the problem successfully and we’re now registered in Germany, Austria, Switzerland and Italy and very soon in the UK.”
Delays in fertility tests, treatment and counselling during the pandemic meant that medical firms had to rethink their approach and adapt to the current challenges. Therefore, developing an app that could deliver immediate results was a key step, says Angelica.
“We knew that only a super easy to use product would work. Today, people want things right here, right now so why have a screen reader in a lab,” she continues. “An app can tell you much more and if something is wrong, we send people to the doctor.”
Indeed, research shows that in the past two years more and more people have become familiar with the idea of tracking their health by using an app. Downloads increased by nearly 200 per cent from summer 2019 to summer 2020 and continue to grow.
However, there are still people who are sceptical about these developments and health tech companies are very aware of that.
Angelica believes “there is still a lot of scepticism in society, so building trust is definitely something that we really need to work on”.
She adds: “We’re also trying to increase the reach ability via partnerships with clinics and insurance companies who want to really go into prevention regarding any disease.”
As our society evolves, our healthcare requirements naturally evolve. We will have a completely different level of healthcare, Angelica agrees. However, ensuring that everyone has access to a state-of-the-art medical system will be crucial.
“We need to make sure that we reach those in unaccessible regions, living in remote places in Africa and in other developing countries. Only this way our developments will come to the benefit of thousands of women in need.”
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.
Fertility
Housing, work and fertility stop Britons having the families they want – research
Fertility
Femtech World reveals fertility innovation award shortlist

Femtech World is thrilled to reveal the shortlist for the Fertility Innovation Award.
The award, sponsored by FinDBest IVF, celebrates a pioneering product, service or initiative that is transforming fertility care and support.
FinDBest IVF is a global B2B digital platform created to simplify and accelerate how IVF and ART manufacturers connect with trusted, pre-vetted distributors around the world.
This year’s nominees represent a remarkable breadth of approaches to fertility care: from clinic-floor breakthroughs to at-home hormone intelligence to truly borderless access.
Three companies made the cut, with each tackling a real, persistent barrier in reproductive health.
Congratulations to the shortlist and many thanks to everyone who entered.
Fertility Innovation Award Shortlist

HRC Fertility’s Needle-Free IVF is a pioneering advancement designed to transform one of the most challenging aspects of fertility treatment: daily hormone injections.
Developed by board-certified reproductive endocrinologist Dr Rachel Mandelbaum, this innovative approach reimagines how stimulation medications are delivered during IVF and egg freezing, dramatically improving the patient experience while maintaining the same trusted clinical outcomes.
Inspired by feedback from patients who struggled with the injection process, Dr Mandelbaum adapted an innovative drug-delivery system commonly used in other areas of medicine and applied it to reproductive care

Mira is a hormonal health technology company that provides lab-grade hormone testing and AI-driven insights to help women and couples understand their fertility.
The platform has already supported more than 200,000 couples on their fertility journeys worldwide, helping over 60,000+ users achieve pregnancy.
For some users, pregnancy rates have reached up to 89 per cent within six months, demonstrating how accurate hormone data can significantly improve fertility outcomes.

Founded in 2021 by Marija Skujina, a Certified Fertility Nurse Specialist accredited by the European Society of Human Reproduction and Embryology, with nearly 15 years of clinical experience at one of the world’s top IVF clinics, and having navigated her own fertility journey as a patient, Marija built the clinic she had always wished existed.
Plan Your Baby began with a bold, but simple mission – make best quality fertility and pregnancy available anywhere.
Plan Your Baby has created a new generation fertility and pregnancy clinic with patients accessing expert consultations remotely, while blood tests and ultrasound scans are available at over 450 locations across the UK, eliminating the exhausting travel burden that often forces people to take days off work, relocate appointments, or abandon treatment altogether
What happens now
The shortlist will be judged by a representative from category sponsor FindBestIVF, with the winner announced at a virtual event on June 19.
Winners will receive a trophy and be interviewed by a Femtech World journalist.
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