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Free to Feed launches AI-powered allergy ally with Ema

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By Morgan Rose, CNM, WHNP-BC, IBCLC | Chief Science Officer, Ema

In a bold stride toward reshaping paediatric allergy care, Free to Feed has launched a groundbreaking new partnership with Ema, the first AI platform built for women’s health.

This collaboration is more than technology; it radically improves how we identify and support food-allergic children through care that’s smarter, more personal, and emotionally attuned to the families navigating it.

Dr Trillitye Paullin, molecular biologist and co-founder of Free to Feed, said: “Partnering with Ema has been transformative for Free to Feed.

“Ema’s cutting-edge AI capabilities have enabled us to deepen our understanding and enhance our approach towards managing infant allergies effectively.

“With Ema’s support, we are addressing the symptoms directly while empowering families and clinicians with the knowledge to make informed decisions. It’s a game changer.”

The collaboration centres on an ambitious capstone project titled “Improving Outcomes for Food-Allergic Children,” led by Dr Trill and supported by the Stanford University Data Science for Social Good Program.

Alongside Stanford research assistant Miguel Esteban Villarreal Rodriguez, MD, the team is tackling one of pediatric health’s most frustrating disconnects: the gap between what parents report and what’s formally diagnosed.

That gap is starkly highlighted by the fact that non-IgE-mediated reactions, which largely impact children under 5, didn’t get their own ICD-10 codes until 2017 despite case reports dating back to the 1960s.

Ema brings to this partnership a proprietary AI trained on the real language, symptoms, and care experiences of women across life stages.

But Ema isn’t just built for women, she’s built for how women care.

Because when a child struggles with food allergies, it’s the mother who carries the invisible load: tracking symptoms, managing anxiety, navigating dismissals, and advocating for answers.

That’s why Free to Feed chose Ema to power this next phase.

Her hybrid language model delivers information and adapts to the emotional, cognitive, and logistical realities families face.

She meets parents where they are, and meets mothers as they are: the primary interpreters of paediatric health.

Through Free to Feed’s expansive data on infant food reactivity, Ema is helping build a powerful new AI-driven tool designed to:

  • Collect and interpret parental reports of food allergy symptoms
  • Prepare for integration through a planned pilot study with pediatric practices through Stanford
  • Educate providers on emerging insights, especially around underrecognized non-IgE-mediated allergies
  • Support parents with personalized, empathetic decision guidance

The project is already underway with over 500 families surveyed through the Stanford University Hoover Institution Veteran Fellowship Program, with clinical integration slated to begin next.

But its real promise lies in what comes next: improved provider awareness, better identification of food allergies, and ultimately, healthier outcomes for children.

Amanda Ducach, CEO of Ema, said: “This collaboration isn’t just academic.

“It’s a glimpse into what pediatric care can look like when we build around families’ real experiences, starting with how they talk, worry, and decide.”

Free to Feed’s mission has always been to give parents clarity in the chaos of infant allergies.

With Ema, that mission now includes a new kind of ally: one that’s smart, empathetic, and built to scale care that feels deeply human, while the Free to Feed provider network remains on hand to provide further support as needed.

 

Mental health

Women more likely than men to get health advice from influencers, study finds

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Young women are more likely than young men to get health and wellness information from social media influencers, a US survey has found.

Among adults aged 18 to 29, 57 per cent of women said they received health and wellness information from influencers, compared with 47 per cent of men.

The Pew Research Center study surveyed 5,023 US adults and examined how young people consume health and wellness content online.

Local university students said influencer content frequently appeared in their social media feeds.

Kabija Koroma, a local university student, said: “It’s more exercise stuff, more like protein and like meals and like how to get ready and like the outfits of the day of videos on TikTok or lately. My favourite ones.”

About 51 per cent of women under 30 said they often consumed influencer content focused on beauty and personal appearance, compared with 18 per cent of men.

The study also found that 21 per cent of women often saw content about therapies outside mainstream medicine, compared with 10 per cent of men.

At least one-third of both young women and young men often encountered influencer content about mental health and weight loss. Around half or more of both groups regularly saw fitness-related content.

Another local university student, Ania Davis, said: “I see a lot like how to meal prep and how to get your morning started. Affirmations stuff. But I do also ask the adults around me because sometimes the internet is not right.”

Researchers also looked at why young adults sought health and wellness information from influencers.

About 51 per cent of young women said they watched the content because they wanted to change their health or lifestyle.

Women were also more likely than men to say they enjoyed hearing from people who shared their background or beliefs, at 23 per cent compared with 14 per cent.

Nineteen per cent of young women said they used influencer content to learn about topics they did not want to ask their doctors about, compared with 10 per cent of young men.

Despite regularly using social media, some students said they did not rely solely on influencer content when making decisions about their health and wellness.

Koroma said: “I’m always on TikTok 24/7 and Instagram, but I also like to ask people older than me because I don’t know everything.”

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Pregnancy

UK study aims to transform maternity care for high-risk pregnancies

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A new UK study aims to improve maternity care for pregnant women living with multiple long-term health conditions.

The three-year project, led by the University of Aberdeen and Birmingham City University, brings together experts from academia and the NHS, including King’s College London, the University of Birmingham, Manchester University, Barts Health NHS Trust, Newcastle-upon-Tyne NHS Foundation Trust and Guy’s and St Thomas’ NHS Foundation Trust.

The research is supported by a £1.3m award from the National Institute for Health and Care Research (NIHR), with £70,000 of the funding going to King’s College London.

Recent figures show that more than 80 women die each year in the UK due to complications arising from pregnancy, while more than one in six pregnant women are living with multiple long-term conditions such as diabetes, high blood pressure, heart disease and mental health disorders.

These conditions are becoming increasingly common and are considered an important contributor to poor maternal outcomes.

There are currently no defined care requirements for pregnant women living with more than one long-term health condition.

Women living with multiple conditions can face changes to medication, disjointed care from multiple teams, conflicting advice between healthcare professionals and a lack of appropriate follow-up for their health conditions after birth.

Pregnant women with multiple long-term health conditions are at twice the risk of preterm birth and nine times more likely to die during pregnancy than those without these health complications.

Researchers will develop a “care bundle”, a package of evidence-led care designed to guide safe maternity care for women living with multiple long-term health conditions throughout pregnancy, birth and the postnatal period.

At King’s, Professor Krishnarajah Nirantharakumar and Professor Jane Sandall will be co-investigators on the project, contributing expertise in implementation research and continuity of maternity models of care. Zoe Vowles, an NIHR-funded midwife PhD student, will contribute expertise from her research into the contribution of midwifery to care for women with multiple long-term health conditions.

Sandall, professor of social science and women’s health at King’s College London, said: “Too many women living with more than one long-term health condition are falling through the gaps between different parts of the health system during pregnancy, when they most need coordinated support. This research will bring together expertise from across maternity and specialist care to build a care bundle that gives women and health professionals clear, consistent guidance, before, during and after birth.”

Nirantharakumar, clinical professor of public health and health data science at King’s College London, said: “Our MRC-funded MuM-PreDiCT programme worked directly with women living with multiple long-term conditions and with maternity clinicians to identify the elements of care that matter most in pregnancy. This award takes those elements and builds them into a care bundle that can be tested and delivered in the NHS.”

Over three years, the team will be led by Dr Mairead Black, clinical reader in obstetrics at the University of Aberdeen and honorary consultant obstetrician at NHS Grampian. It will address the challenges these women face and create a package of care aimed at reducing the risks they encounter in pregnancy.

The care bundle will include guidance on medication management, communication between healthcare teams, midwifery care and postnatal handovers. Researchers will also work with people with lived experience of maternity care to help shape and test it.

The researchers hope the project will provide an evidence-led care bundle specifically designed for women living with multiple long-term health conditions and, for the first time, clear guidance to support their complex needs throughout pregnancy and beyond.

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Mental health

PMDD after SSRIs or hormones: Why the brain may be the missing treatment target

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Prepared for Femtech World by Dr Emilė Radytė, neuroscientist and co-founder and CEO of Samphire Neuroscience

The short answer

Premenstrual dysphoric disorder (PMDD) does not usually result from abnormal hormone levels.

Research suggests that the brain can respond differently to expected changes in estrogen, progesterone, and the progesterone metabolite allopregnanolone.

This helps explain why blood tests can look typical while a person’s experiences remain severe. It also gives researchers a clear reason to study nervous-system treatments alongside selective serotonin reuptake inhibitors (SSRIs), hormonal treatment, and psychological care.

Why can expected hormone changes cause severe PMDD experiences?

Hormones act as signals. They interact with receptors throughout the brain and influence networks involved in mood, stress, sleep, and emotional regulation.

Two people can have similar hormonal patterns and experience those signals in different ways.

Hantsoo and Epperson (2020) reviewed evidence that PMDD involves an altered response to changing levels of allopregnanolone, which modulates gamma-aminobutyric acid type A (GABA-A) receptors. GABA helps regulate neural activity and the stress response.

In PMDD, the issue may lie in the brain’s adaptation to allopregnanolone fluctuations across the menstrual cycle.

Experimental research supports this sensitivity model. Suppressing ovarian hormone fluctuations can reduce PMDD experiences in susceptible participants, while reintroducing physiologic concentrations can bring them back.

Researchers therefore describe PMDD as a disorder of sensitivity to hormonal change, while recognizing that no single pathway explains every case.

Do normal hormone test results rule out PMDD?

No. A blood test shows whether a hormone concentration falls within an expected range at one point in time.

It cannot show how a person’s brain responds to that signal across the cycle.

Clinicians diagnose PMDD by its timing and impact, using prospective daily ratings across menstrual cycles.

The American College of Obstetricians and Gynecologists (ACOG) recognises PMDD as part of a spectrum of premenstrual disorders and recommends an individualised, multimodal approach.

Which treatments have evidence for PMDD?

ACOG’s 2023 clinical practice guideline includes hormonal and nonhormonal medicines, psychological counseling, exercise, nutritional approaches, patient education, and surgery for selected cases.

SSRIs can work faster in PMDD than they often do in major depression. Hormonal approaches can suppress ovulation or stabilize fluctuations for some patients.

No treatment works for every person. Some patients do not improve, cannot tolerate side effects, have contraindications, or prefer another route.

When that happens, clinicians and researchers need to ask which part of the biological pathway still drives the condition.

Could brain stimulation treat PMDD?

Noninvasive brain stimulation offers a plausible research direction because it can influence neural networks involved in mood regulation.

Evidence from depression cannot establish that it works for PMDD.

Researchers need PMDD-specific randomised trials that measure experiences across the cycle and report safety, adherence, and clinically meaningful outcomes.

The distinction matters. A coherent mechanism creates a hypothesis. Only indication-specific clinical evidence can establish efficacy.

Key takeaways

  • PMDD can occur with hormone levels that fall within expected ranges.
  • Research points to altered brain sensitivity to hormonal change, including allopregnanolone fluctuations.
  • SSRIs and hormonal approaches remain evidence-based options, often as part of multimodal care.
  • Brain stimulation is a research target for PMDD, not a conclusion that can be borrowed from depression studies.

Learn more at https://www.samphireneuro.com/en-us/pmdd

Sources:

Hantsoo and Epperson (2020), Allopregnanolone in premenstrual dysphoric disorder.

American College of Obstetricians and Gynecologists (2023), Management of premenstrual disorders.

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