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Don’t get lost – How femtech can navigate the EU medical device and AI rules

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By Xisca Borrás and Ellie Handy of the life sciences regulatory department at Bristows law firm

Femtech, short for female technology, is an important and fast growing sector. The EU is a key market for femtech, with five of the top 10 countries for femtech investment located in the EU.

Femtech products are developed for many areas of women’s health, such as menstrual health, pregnancy planning and monitoring, menopause and mental wellbeing.

As femtech is intrinsically linked to health needs, a key question for femtech products is whether they are regulated as medical devices or merely consumer products.

Additionally, many femtech products are embracing the use of artificial intelligence (“AI”). Therefore, another key question is whether products using AI will be regulated as “high-risk” AI systems under the EU’s new AI legal framework.

This article looks at when femtech apps and software qualify as medical devices in the EU and how the medical device and AI legal frameworks interact.

What is a software medical device?

The definition of “medical device” in the EU’s Medical Device Regulation 2017/745 (the “EU MDR”) includes software, used alone or in combination, that is intended by its legal manufacturer for a medical purpose. These medical purposes are listed in the EU MDR and include (amongst others):

  • diagnosis, prevention, monitoring, prediction, prognosis, treatment or alleviation of disease;
  • diagnosis, monitoring, treatment, alleviation of, or compensation for, an injury or disability; and
  • control or support of conception.

The legal manufacturer is the person that puts their name/branding on the device, and takes responsibility for it.

Whether software is considered a medical device will depend on whether the manufacturer states it has a medical purpose in the relevant documentation/materials.

The EU MDR defines intended purpose as “the use for which a device is intended according to the data supplied by the manufacturer on the label, in the instructions for use or in promotional or sales materials or statements and as specified by the manufacturer in the clinical evaluation”.

What is the test for qualifying as a medical device in the EU?

There is a selection of guidance documents that can assist you in determining whether a product should qualify as a medical device. We summarise some of the key guidance below:

  1. MDCG 2019-11 rev.1 

Under the EU MDR, the Medical Device Coordination Group (“MDCG”) has published guidance on the qualification and classification of software as a medical device. It sets out five decision steps to help determine if a piece of software is a medical device in the EU. The steps are:

  • Step 1: Is the product software?
  • Step 2: Is it standalone software (i.e., it is not an accessory nor driving/influencing the use of a hardware device) and does it not fall within Annex XVI?
  • Step 3: Is it performing an action on data beyond storage, archival, communication, simple search or lossless compression?
  • Step 4: Does it act for the benefit of an individual patient?
  • Step 5: Does it have a medical purpose (as set out in the medical device definition)?

If the answer to all five questions is yes, it will qualify as a medical device. In this case, manufacturers will have to ensure they comply with the pre-market requirements set out in the EU MDR before they can place the software medical device on the market.

Notably, they will need to set up a qualify management system, compile a technical file, undergo the appropriate conformity assessment and affix a CE mark.

Importantly, the manufacturers would also need to consider post-market requirements, such as having a post-market surveillance system and undertaking post-market vigilance.

3. Other relevant guidance

The MDCG has also published a manual on borderline and classification of medical devices under the EU MDR.

Additional sources of guidance may also be available from national competent authorities. The legal manufacturer could also look at examples of other products already on the market to see how they are regulated (e.g. looking at EUDAMED). Although, we would caution anyone relying too heavily on the regulation of other products as there is no guarantee they are compliant.

What if you’re not a medical device?

If the software does not qualify as a medical device, the product will not have to comply with the EU MDR.

However, the manufacturer should be careful about how it promotes its product and the claims it makes about it because, as discussed above, a medical device is defined based on the manufacturer’s intended purpose.

Let’s take the example of a mere period app. Using it for logging period dates, tracking ovulation, and predicting future cycles has no medical purpose and is therefore not a medical device.

However, if its manufacturer recommends this piece of software for contraception and/or to support conception it will suddenly have a medical purpose and so, it would qualify as a medical device.

As such, the manufacturer would either have to bring the device into conformity with the EU MDR or take action to change the promotional materials to remove the medical claims.

Interaction between medical devices and AI legal frameworks 

Under the EU MDR, devices are assigned risk classifications. For the lowest risk devices (Class I medical devices), the manufacturer can self-certify compliance with the EU MDR prior to the product being placed on the market or put into service in the EU.

However, high risk devices (Class IIa or above medical devices) must undergo a third party conformity assessment carried out by a notified body.

Notified body conformity assessments require a detailed review of the manufacturer’s quality management system, technical documentation, systems and procedures.

The process will often take more than a year to complete. Additionally, manufacturers have to grapple with ongoing burdens such as vigilance and post-market surveillance.

Under the EU MDR, most software as a medical device will be classified as a Class IIa or above.

Like the EU MDR, the EU’s Regulation (EU) 2024/1689 (the “AI Act”) also distinguishes between AI systems that pose different levels of risk.

The AI Act imposes onerous obligations on “high risk” AI systems, including in relation to accuracy, transparency, risk management, data quality and governance, and human oversight.

Although there is some overlap between the EU MDR and AI Act requirements, many are new AI-specific obligations. These pose a significant additional regulatory burden, increasing the complexity and cost of compliance for stakeholders.

Notably, the risk classification of an AI system that is itself, or is included in, a medical device is linked to the device’s classification under the EU MDR. Under the AI Act, AI systems are classified as “high risk” systems if:

(a) the AI system is a safety component of a medical device or the AI system itself is a medical device; and 
(b) the medical device is required to undergo a third-party conformity assessment under the EU MDR.

Therefore, low risk medical devices (i.e., Class I medical devices) that are self-certified cannot be “high risk” AI systems.

Whereas, any device that requires a notified body to perform its conformity assessment will be a “high risk” AI system, and so will be subject to the additional AI Act requirements.

Unfortunately for those wishing to avoid the “high risk” AI system requirements, there are relatively few Class I devices under the EU MDR.

Therefore, the majority of medical devices that are an AI system or have an AI system as a safety component will qualify as a “high risk” AI system.

One notable example of a Class I device is software intended to support conception by calculating the user’s fertility status based on a validated statistical algorithm.

If this kind of software medical device is also an AI system, it would not be classed as a “high risk” AI system, so it would not be subject to the more onerous requirements in the AI Act.

However, the manufacturers of these devices would need to carefully consider any product developments that add additional functionality, as this can impact the risk classification of the product under both the EU MDR and AI Act.

For example, if the manufacturer added functionality to the Class I device so it could also be used as a means of contraception, it would become a Class IIb medical device and would need a third party conformity assessment.

In turn, as the software is also an AI system, this would mean the AI system would be considered “high-risk” and be subject to additional regulatory requirements under the AI Act.

Whilst AI has the potential to provide tremendous benefits for femtech, it also triggers additional complexity that can be time-consuming and costly to navigate.

It is important to get it right in terms of compliance in order to maintain consumer trust, avoid regulatory penalties, and pave the way for long-term success and viability.

By Xisca Borrás, Partner – Life sciences regulatory and  Ellie Handy, Senior Associate – Life sciences regulatory at Bristows law firm.

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Menopause

Menopause frequently missing from electronic health records – study

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Menopause is often absent from women’s electronic health records, a study of nearly 396,000 women has found.

Researchers found menopause appeared almost seven times more often in participant surveys than in electronic health records (EHRs).

The findings suggest important reproductive health information, including age at menopause, may often be missing from health records used for research.

Audrey Hendricks, associate professor of bioinformatics at CU Anschutz and the study’s principal investigator, said: “Ultimately, we cannot study what we do not measure. We cannot treat what we do not know.

“Menopause has enormous implications for women’s health, but if we don’t consistently capture when menopause occurs and other important reproductive health information, we limit our ability to understand how this transition affects disease risk and health outcomes.”

Researchers at the University of Colorado Anschutz analysed data from women taking part in the National Institutes of Health’s All of Us Research Program.

They compared menopause information reported by participants in surveys with menopause diagnoses recorded in their electronic health records.

Around 193,000 menopause observations were identified in survey data, compared with approximately 28,000 diagnoses in EHR data.

Menopause was documented in electronic health records for only about 7 per cent of women in the dataset.

Nearly all participants with a menopause diagnosis recorded in their EHR also reported menopause in survey data. However, substantially fewer women had menopause documented in their health records.

Other important information was also frequently unavailable, including age at menopause, which researchers may use when examining links between menopause and chronic disease risk.

Menopause is a physiological transition that can affect cardiometabolic health and many other aspects of women’s health.

Researchers said relatively little is known about how factors including the timing and type of menopause influence health outcomes across diverse populations.

Large-scale programmes such as All of Us combine participant surveys, electronic health records and genomic data, but menopause-related research depends on relevant reproductive health information being available.

Missing menopause information can make it harder to investigate how the transition relates to health and disease.

The findings may also help researchers using All of Us data define menopause-related study populations, design studies and estimate how many participants are needed.

Hendricks said: “We have an enormous opportunity to use large-scale datasets to understand women’s health across the menopause transition and to identify who may be at greater risk for disease.

“But we need to make sure that the information researchers need is actually being collected.

“We must do a better job of capturing women’s health information, including reproductive health and measures related to menopause.”

Researchers said more complete and consistent collection of menopause and reproductive health information could help future studies examine factors such as age at menopause and their relationship with disease risk and health outcomes.

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Diagnosis

FDA approves AstraZeneca breast cancer drug

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The FDA has granted accelerated approval to AstraZeneca drug Etcamah for certain adults with advanced breast cancer carrying an ESR1 mutation.

Etcamah, also known as camizestrant, was approved in combination with a CDK4/6 inhibitor, either abemaciclib, palbociclib or ribociclib.

The treatment is for adults with hormone receptor-positive, HER2-negative, locally advanced or metastatic breast cancer when an estrogen receptor-1 (ESR1) mutation is detected during aromatase inhibitor and CDK4/6 inhibitor therapy using an FDA-authorised test.

ESR1 mutations are acquired resistance mutations that tumours may develop during treatment with aromatase inhibitors, a type of endocrine therapy commonly used as a front-line treatment for locally advanced or metastatic breast cancer.

Fewer than 5 per cent of patients have the mutation when HR-positive metastatic breast cancer is diagnosed, according to the FDA. After disease progression on an aromatase inhibitor, nearly 40 per cent have the mutation.

Acting FDA commissioner Kyle Diamantas said: “Women living with metastatic breast cancer face an uphill battle as their tumors continuously evolve to escape treatment.

“We owe them every weapon in our arsenal.

“Today’s approval delivers a win to these patients by granting them a targeted therapy designed specifically to overcome resistance, giving them more time before their disease progresses.”

The accelerated approval programme allows earlier approval of drugs that treat serious conditions and fill an unmet medical need based on surrogate or intermediate endpoints.

For Etcamah, approval was based on how long patients lived without their disease worsening, measured from when the resistance mutation was first detected in their blood.

The FDA said it has not yet been confirmed whether intervening when the mutation is detected, rather than waiting until disease progression is confirmed, results in a clinically meaningful benefit. Confirmatory studies are therefore required to verify and describe clinical benefit.

Angelo de Claro, director of the FDA’s Oncology Center of Excellence, said: “I commend both the FDA and the sponsor for their commitment to advancing cancer care and securing this accelerated approval.

“This marks the first FDA approval of a cancer therapy guided by the detection of a resistance mutation in circulating tumor DNA (ctDNA) before imaging tests show that the disease is progressing.

“But additional evidence is needed to confirm clinical benefit.”

Circulating tumour DNA, or ctDNA, consists of small pieces of tumour DNA released into the blood and can allow earlier molecular detection of resistance mutations.

The FDA also authorised the Guardant360 CDx assay as a companion diagnostic to identify patients with breast cancer who have ESR1 mutations for treatment with camizestrant.

Efficacy was assessed in a clinical trial comparing a switch to Etcamah plus a CDK4/6 inhibitor with continued treatment using an aromatase inhibitor plus a CDK4/6 inhibitor.

Estimated median progression-free survival was 16 months in the Etcamah group, compared with 9.2 months in the aromatase inhibitor group.

Etcamah’s prescribing information includes a boxed warning about the risk of irregular heart rhythm when taken with certain other medicines. It also includes warnings about an abnormally slow heart rate and potential harm to an unborn baby.

The FDA convened its Oncologic Drugs Advisory Committee for the application on 30 April 2026.

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Pregnancy

New universal heart attack definition could transform care for women

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Four leading cardiovascular health groups have agreed new guidance for healthcare professionals assessing patients with suspected heart attacks.

Historically, some less common forms of heart attack, which evidence shows affect women far more than men, have been classified as less important, with treatment and care often worse as a result.

Experts said women had been receiving less effective treatments that did not always target the specific cause of their heart attack and could even make them more unwell.

The changes were announced in Munich on the opening day of the annual congress of the European Society of Cardiology (ESC).

Professor Bryan Williams, chief scientific and medical officer of the British Heart Foundation, said: “This is a landmark moment, a radical shift in how we define and diagnose heart attacks worldwide which will transform people’s care.

“For decades, women have missed out on accurate diagnoses and treatment.

“This focus on finding less common causes of heart attacks, which predominantly affect women, should help to change that. It could be life-changing for huge numbers of women in the UK and worldwide.”

The new guidance upgrades three types of heart attack that can be up to 10 times more common in women and are often caused by childbirth, exercise and emotional stress.

The most serious cases, previously known as “type 1” and now classed as “primary” heart attacks, had previously prioritised those caused by a clot blocking blood flow to the heart.

Other forms can involve reduced blood flow for different reasons, including the tightening or tearing of coronary arteries. These can be more likely to be missed or treated less urgently.

The guidance also introduces a lower diagnostic threshold for women based on levels of troponin, a protein released into the blood when the heart is injured and damaged.

Previously, women were expected to meet the same troponin threshold as men to receive a diagnosis.

Williams said the streamlined heart attack categories would also help patients understand the cause of their heart attack and what comes next.

The three upgraded types are coronary artery spasm, coronary embolism and spontaneous coronary artery dissection (SCAD).

Coronary artery spasm involves the tightening of an artery, which can deprive the heart muscle of blood and oxygen. It can be caused by emotional stress, exercise or extreme cold.

Coronary embolism occurs when a blood clot or fatty deposit travels to a coronary artery and causes a blockage.

SCAD is caused by a tear in a coronary artery. Around 80 per cent of cases occur in women, and it often happens during or soon after pregnancy.

Professor Nicholas Mills, a cardiologist at the University of Edinburgh who led the international taskforce behind the guidance, said it was “the first time that we’ve had a truly global approach to aligning how we diagnose what is probably the most important diagnosis there is”.

He said: “It kills so many people, and we’ve never got everyone together around the world to agree how we’re going to describe it, classify it, explain it to our patients.

“Our job now is to implement this as widely as possible. It’s just as relevant for the UK as it is for any other country around the world. It is a revolution. It’s going to make care better for patients.”

Mills said there had been “unintended systematic bias against women”, including through the use of the key blood test for diagnosing heart attacks at an average level, which picks up all men but misses some women.

He said: “This is used for all types of heart attack in every emergency department in the world, and we want to make sure that it’s used correctly.”

The guidance was drawn up by the ESC, the American College of Cardiology, the American Heart Association and the World Heart Federation.

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