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Tech and Trust: How AI is Personalising Postpartum Care Experiences

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The weeks following childbirth bring about profound emotional, physical, and psychological shifts. For many women, navigating this period can feel isolating or overwhelming. An NCBI study says that many women can also feel depressed and experience symptoms like insomnia, constantly feeling down, low self-esteem, etc.

As conversations around maternal health become more open, digital tools have emerged as quiet but powerful companions. Artificial intelligence (AI) is now being used to tailor postpartum care in ways that weren’t possible just a few years ago. In this article, we will explore some ways in which AI can personalise postpartum care experiences.

How AI is Showing Up in Maternal Health

AI in postpartum care shows up in ways both visible and subtle. Some apps use AI-powered chat interfaces that check in with users regularly, asking how they’re sleeping, eating, and coping emotionally. Others monitor physical metrics via connected devices, providing feedback on patterns that may affect energy, mood, or physical recovery.

What makes AI appealing in this context is its ability to adjust based on user input. A new mother struggling with postpartum anxiety may receive different suggestions than one dealing with physical discomfort or sleep deprivation.

A study found that integrating AI tools like ChatGPT can generate therapeutic dialogues. It offers empathetic responses and even assists in offering guidance on how to cope with mental health problems.

Over time, these systems learn user preferences and habits, making the support feel more personal. However, the closer AI gets to the individual experience, the more critical it becomes to handle the data behind that personalisation.

Can AI be trained to understand cultural differences in postpartum traditions and care expectations?

Yes, AI can be trained using diverse data sets to recognise and respect cultural differences in postpartum care. For example, it can adjust suggestions based on dietary customs, rest periods, or family roles. However, its effectiveness depends on how inclusive and representative the training data actually is.

Building Safer Spaces

Most AI-based postpartum care platforms require users to share deeply personal information. With data like this, the integrity of the platform matters as much as the technology behind it.

Many cybercriminals access health data to ask for hefty ransoms from healthcare providers and software developers. 

One such example has been the Synnovis ransomware attack in London. This attack affected seven websites and services. Similarly, the US Department of Health and Human Services reported that a hacking incident on Onsite Mammography affected 357,265 individuals. This reflects the growing need to protect sensitive patient data.

To strengthen user trust, some health tech companies are borrowing practices from industries like finance. A notable example is the use of KYC identity verification. According to AU10TIX, this process can help verify a customer’s digital and physical identity. This ensures that only genuine customers become a part of the application, minimising the chances of fraud and identity theft.

The use of KYC identity verification is a move toward safer digital environments, particularly in apps that allow peer-to-peer support or professional consultations. Introducing such verification isn’t just about security; it also builds confidence. When users feel the platform takes their safety seriously, they’re more likely to engage openly and share accurately.

How does KYC identity verification impact user experience in health platforms that offer anonymity as a feature?

KYC identity verification can be balanced with anonymity by confirming a user’s real identity during sign-up while allowing for pseudonymous profiles. This ensures accountability and safety without compromising privacy. It’s especially useful for sensitive discussions, peer support groups, or professional consultations.

The Shift Toward Personalised Support

One of AI’s greatest strengths is its ability to adapt. As stated in an IBM article, personalisation works through a combination of machine learning, natural language processing, and other AI algorithms. 

The process starts by collecting user data to find behavioural patterns. This helps the system understand user behaviour, preferences, interactions, and more. Based on this information, AI can personalise anything, from support to user journeys.

In postpartum care, this means recognising the unique experiences of different mothers and responding accordingly. For example, a woman with a history of postpartum depression may receive more prompts or early referrals to virtual therapy services. Another recovering from a C-section might get specific recovery reminders and pain-tracking tools.

Instead of waiting for symptoms to escalate, AI can gently flag patterns that indicate a mother might be struggling. This can be done based on changes in language use, slower response times, or sleep irregularities. In these moments, the platform can suggest small but important actions, like pausing to rest or checking in with a care provider.

What kind of data does AI use to personalise postpartum care, and how is that data collected?

AI systems typically gather data from user interactions, wearable devices, input logs, voice tone analysis, and activity patterns. This data is collected through consent-driven apps and tools. The more consistent and varied the data, the better the system can tailor suggestions to each mother’s evolving needs.

Lightening the Load for New Mothers

You might have to go for multiple checkups after childbirth. Your doctor will check many things, such as your blood pressure, breasts, belly, incisions (if any), pelvic health, and more. These postpartum checkups are essential for ensuring good health. However, many women find themselves overwhelmed by these tasks.

Keeping up with appointments, understanding bodily changes, and making time for rest can feel impossible. AI steps in here as an extra set of eyes and ears, taking note of changes, organising information, and offering gentle reminders.

Rather than replacing human contact, these tools aim to take the pressure off where they can. For instance, a mother might use an app to track her sleep or pain levels throughout the week. She can then use that data to discuss it at a checkup. Or she might get automated check-ins that provide space for reflection and self-awareness during long days at home.

The goal isn’t to turn healing into a series of alerts and messages. It’s to support mothers in a way that feels unobtrusive but genuinely helpful, especially when they’re too exhausted or uncertain to ask for help.

The future of postpartum care is not one-size-fits-all, and AI is helping to push against that limitation. With tools that listen, learn, and adapt, more women can receive care that feels truly responsive to what they’re experiencing. However, even the smartest systems are only effective if they are trusted, and trust begins with transparency and security.

By incorporating protective measures, offering personalised support, and keeping human touchpoints accessible, AI can become a strong ally for new mothers. In a time when small gestures make a big difference, the right tech can offer something surprisingly human: reassurance and understanding.

 

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News

UK femtech investment surges 194% in a decade, research finds

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UK femtech investment has risen by more than 194 per cent over the past decade, with deal activity and funding both increasing, new research has found.

The number of deals increased from 18 in 2015 to 53 in 2025, while total funding rose from £9.4m to more than £100m over the same period.

Despite the growth, deal volume and value remain relatively low compared with other parts of the health and care market. Healthcare recorded 69 deals in 2015 and 171 in 2025.

More companies have raised funding over the past decade, while investment values have also increased. Average deal size more than doubled from £527,000 in 2015 to £1.9m in 2025.

Some of the largest funding rounds last year included SheMed at more than £37m, Gaia at £12m, emm at £6.8m and Hertility at £5.9m, with the majority of investors based in the UK.

The research found femtech remains largely early-stage, with seed investments accounting for most deals.

However, venture capital involvement has increased over the past decade, which the research said showed the market was becoming more mature. The number of VC deals rose by 600 per cent.

Vicky Protano, corporate partner at Mills & Reeve, which conducted the research, said: “Over the last decade, the UK femtech ecosystem has expanded, both in terms of deal activity and funding levels. This positive upward trend demonstrates growing investor confidence in femtech and increasing institutional interest in the sector.

“Whilst companies in femtech have relied heavily on angel investors and angel networks to fund their growth ambitions, dynamics are shifting, with more venture capital and PE investors appearing in funding rounds. However, this is just the beginning and there is still more to do. While the sector has experienced strong growth, more work needs to be done to create the right funding environment that is balanced and evenly spread across the UK.”

The research found most deals had taken place in London. While the capital has strengthened its position as the UK’s main hub for femtech start-ups, regional clusters are gradually emerging elsewhere.

Protano said: “Whilst London clearly remains a dominant location for women’s health businesses and investment – both in terms of deal activity and total funding – there is a gradual move to regional expansion outside of the capital, with the South West, South East and the East of England showing increased investment activity in the femtech sector. What the data also highlights is a growing North/South divide, with areas such as the North East, North West, and Yorkshire & Humber significantly underrepresented in the national figures.

“As a national firm, we are also witnessing that similar divide. More investments are being made into women’s health businesses based in the South – and more businesses are, often as a result, locating themselves there, rather than in the North. This is representative of the investment landscape as a whole. However, growth in the femtech sector is being supported by growing regional innovation hubs, the increasing influence of university spin-outs, as well as improved support for start-ups at a regional level.”

She added: “Looking at the positives, we have advised and are continuing to advise on some significant investments in the sector. This further evidences the growing nature of femtech, with sector specific investors also coming to the market.”

Examples include Northern Gritstone’s investment in IVF technology business IVF Micro and Phoenix Private Equity’s investment in London Gynaecology, a provider of private gynaecology clinics.

Other deals include an EKA Ventures-led investment in tech-enabled postnatal care company Hesta Health and Amulet Capital’s acquisition of TFP Fertility.

September marks 10 years since the term “femtech” was coined by Ida Tin, co-founder and chief executive of Clue, one of the first period-tracking apps for women, and founder of think tank Femtech Assembly.

The global market grew to US$9.12bn in 2025 and is projected to reach US$41.4bn by 2034.

Despite that growth, women’s health is still not treated as a priority and significant gender inequalities remain globally in research, trials, diagnosis and treatment, continuing to disadvantage women.

Tin said: “I want men with money and power to get femtech on their radar. The business opportunity is there. The societal economic argument is there.”

Charlotte Lewis, commercial health lawyer at Mills & Reeve who specialises in healthtech and women’s health, said: “For far too long, ongoing disparities in women’s healthcare across the UK have adversely impacted women’s health outcomes, often resulting in prolonged diagnosis and treatment – some of which are well publicised, including the time it takes to diagnose women’s health issues such as endometriosis and rising maternal mortality rates.

“However, we are seeing the landscape beginning to shift in a more positive direction. Our experience is that this is helped by more open discussion and conversations which highlight the issues.

“The data around the sector is valuable and growing and demonstrates the progress that is being made from an investment point of view, creating a better environment where digital innovation can thrive, with a renewed focus on prevention through market-leading consumer-driven products.

“The UK has a real opportunity to transform women’s healthcare into a model of fairness, accessibility, and excellence, and femtech businesses have a crucial part to play in achieving this transformation. As a firm, Mills & Reeve is passionate and dedicated to continuing to influence and support this transformation.”

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Fertility

No clear evidence common embryo transfer techniques improve IVF success, review finds

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Common IVF preparation techniques used before embryo transfer have no proven effect on pregnancy rates, according to a review.

Researchers said evidence for the widely used practices remains uncertain because available studies are limited and generally of low quality.

Embryo transfer is the final and most vulnerable stage of IVF, when an embryo is placed into the womb. Only around one in three transfers results in pregnancy.

Practice varies between clinics, with some routinely using preparation techniques such as adjusting bladder fullness while others do not consider them necessary.

Dr Ryosuke Akino, practising obstetrician-gynaecologist from Kato Ladies Clinic, said: “To an extent, this is a case of tradition driving practice rather than the evidence.

“Current practices in this area often reflect local protocols, clinician preference, and historical convention rather than strong, high-quality evidence.”

The Cochrane review analysed 11 studies involving 2,524 women undergoing embryo transfer.

Researchers looked at three preparation techniques used by fertility clinics: having women arrive with a full bladder to straighten the angle between the uterus and cervix, removing cervical mucus and using a technique called afterloading.

Afterloading is a technique used to guide the embryo through the cervix.

The review found no reliable evidence that any of the three approaches improved pregnancy rates compared with standard care.

Researchers rated the evidence as low or very low certainty because the trials were small and had methodological weaknesses. They found no grounds to recommend any of the techniques over standard care.

There was also limited information about possible side effects.

The review team, which included methodologists and practising obstetrician-gynaecologists, said full bladder preparation and cervical mucus removal were generally considered safe, with no clear evidence of harm or major complications.

Dr James Brown, obstetrician-gynaecologist from Women’s Health and Research Institute Australia, said: “While these techniques are generally considered safe, it’s still important to test their effectiveness.”

Akino and Brown added: “A full bladder can be uncomfortable, although it may ease catheter insertion in certain uterine positions and reduce procedural difficulty.

“Mucus removal is usually quick, but if done roughly and causes bleeding, it may affect the woman’s experience.

“Overall, the risks are minor and relate mostly to discomfort and procedural factors rather than clinical harm.”

The authors said embryo transfer has changed relatively little despite major advances elsewhere in IVF.

Research has instead focused more heavily on embryo quality and genetic factors, which have a greater bearing on treatment success than transfer technique.

Embryo transfer also depends heavily on the person carrying out the procedure and can be difficult to standardise, making large, rigorous clinical trials harder to design.

Researchers said women may also be reluctant to risk valuable embryos by taking part in randomised studies comparing different transfer techniques.

Dr Noyuri Yamaji from Showa Medical University in Japan said: “Sixteen years of research still haven’t answered a basic IVF technique question.

“This is a critical step in the IVF process and these small changes and techniques have the possibility to make a massive difference, but we won’t know more until more robust, better-quality trials are conducted.”

All the studies assessed were carried out in high-income countries, meaning the findings may not necessarily apply to other healthcare settings and populations.

The authors said further research could be particularly valuable in resource-limited settings, where these procedures are inexpensive and simple to change and basic procedural standardisation could matter more than advanced technical modifications.

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Hormonal health

Menstrual data is missing a critical layer: The mind

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By Aleena Ashraf, neuroscientist, published author and part of Véa’s Clinical Advisory Board

Menstrual data is missing a critical layer: the mind.

The menstrual cycle won’t be fully understood until we track the mind alongside the body.

We measure the body exceptionally well.

Just three period-tracking apps, Clue, Flo and Period Tracker, have been downloaded over 200 million times combined.

Dates, symptoms, mood and fertility windows are all diligently monitored.

Still, logging when a period starts doesn’t document what it’s like to live inside a cycle.

A recent survey reported 61.9 per cent of participants used period-tracking apps for more than two years, yet only surface-level data could be observed.

Mental clarity, motivation, resilience, mental load, none of this gets recorded.

Which is why the data can’t answer one of the most common questions women ask themselves: why does the same task feel manageable one week and impossible the next?

Get this right and the payoff is significant: more precise, predictive and personalised care.

Neuroscience and the menstrual cycle

The menstrual cycle isn’t only a reproductive process.

It’s a neurobiological rhythm that the brain actively regulates.

Ignoring that means overlooking the system driving much of what gets logged as “mood”.

After menstruation, rising estradiol lifts serotonin and dopamine, sharpening mood, motivation and mental efficiency.

This is the phase where pushing hard toward a goal tends to feel the easiest.

Later, progesterone takes over and increases GABA, the brain’s calming neurotransmitter.

The body shifts toward rest and recovery: slower pace, more introspection and less drive for risk.

The brain isn’t weaker in one phase and stronger in another. It’s continuously realigning to match hormonal change.

This isn’t a drop in capability but a shift in cognitive mode.

Hormonal changes aren’t disruptive – they’re informative.

The subjective experience of every woman living through them is exactly where current data systems fall short.

The lived experience is missing

What it actually feels like to think and function differently across the month remains almost entirely undocumented.

Women keep pushing through their cycle to meet constant demands at work and at home.

The cost doesn’t show up immediately but builds quietly, then surfaces as burnout, anxiety or withdrawal.

The turning point is rarely dramatic. It lives in small, recurring thoughts:

“Why does this feel harder today?”

“Why can’t I think straight?”

“Why is everything triggering me?”

During the luteal phase, irritability is usually treated as a symptom to control or tolerate.

There is lower tolerance for social demands, heightened sensitivity to routine tasks and occasional emotional outbursts.

But tracked over time against the cycle’s stages, it stops looking random.

It becomes a measurable signal of cognitive and emotional load.

The same is true for the urge to withdraw.

Read in isolation, it looks like disengagement, a dip in performance or a personal shortcoming.

Read longitudinally, it frequently lines up with the phase where the brain is shifting toward introspection and recovery.

Rather than seeing it as avoidance, it’s regulation.

Picture a professional in a high-pressure role.

In one phase of her cycle she is sharp, decisive and efficient.

In another, she is re-reading the same email, struggling to focus and disproportionately overwhelmed by routine tasks.

Without context, that looks like inconsistency.

With context, it’s a pattern that can be understood, anticipated and supported.

Journaling reveals the missing layer

Journaling is already a proven way to surface this deep layer.

It’s well established for improving mental health and stress regulation.

A 2022 systematic review reported a 9 per cent decrease in anxiety levels through writing.

But its potential goes further than that.

Journal entries build a longitudinal record of how someone’s inner state and hormone-linked rhythms evolve across the cycle, across roles, across time.

The problem is journaling can be hard to sustain without structure.

It’s also tricky to know what to write, as it’s self-directed.

Insights end up buried in raw writing, disconnected from the neurological pattern actually driving it.

Véa is a digital platform that guides women to document their lived experience over time, surface recurring trends and put words to what they’re going through.

It develops freeform writing into systematic self-reflection through a framework supported by neuroscience.

This captures snapshots of how women are thinking and feeling across different phases of the cycle.

Guided support peels back layers of cognition and emotion, surfacing what current menstrual data misses.

No single narrative gets imposed on every user.

Instead, the method leaves room for genuinely different perspectives of productivity to emerge.

Performed well, this turns journaling into a system of signals, not a pile of disconnected entries.

Done responsibly, privately and anonymously, this kind of data could help understand more about female health.

It isn’t diagnostic and it isn’t here to label anyone. But it can feed clinical understanding and future research alike.

What changes if we take this seriously

Treat the menstrual cycle as a neurological framework rather than a purely reproductive one, and the entire model of care begins to change.

It’s possible to identify strain earlier.

Work can be paced differently.

For clinicians, it means treatment plans that account for cyclical variation in symptoms and inner state.

For researchers, it gives a richer dataset that moves past static and linear measurements toward dynamic patterns.

For employers, it’s a chance to build more personalised ways of working around shifting cognitive load.

For families, it’s a reason to recognise and redistribute the invisible load carried by female homemakers.

This also fits within the broader shift toward preventative healthcare.

Catch the early signs and intervention can happen before burnout or more serious conditions take hold.

The menstrual cycle may be one of the richest data systems we have, if we are willing to read it correctly.

Learn more about Véa at veajournal.com

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