Diagnosis
Free to Feed launches AI-powered allergy ally with Ema

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.
Diagnosis
Women unaware of gynaecological cancers

Only one per cent of women can name all five gynaecological cancers, new research suggests, as 21 women in the UK die every day of the diseases.
The report also found that 31 per cent of women have put off or avoided seeking medical advice for gynaecological symptoms.
It also found that 43 per cent of women invited for cervical screening said barriers had put them off attending, while 18 per cent of respondents aged 25 to 34 who had been invited had never attended.
The five main gynaecological cancers are womb, also called uterine, ovarian, cervical, vulval and vaginal cancer.
The Lady Garden Foundation said that, while progress has been made since the UK government’s 2022 Women’s Health Strategy aimed to improve gynaecological cancer care, significant challenges remain.
John Butler, medical director and trustee at the Lady Garden Foundation, said: “The fact that only one per cent of the population can name the diseases that directly affect half of us underscores a significant awareness gap, impacting individuals’ ability to recognise vital signs and symptoms or seek timely medical help.
“Addressing this isn’t just about awareness; it’s a critical public health priority. Our collective efforts are essential to ensure the latest commitments announced by this government translate into tangible change that saves lives.”
The report said key reasons for delaying medical advice included difficulty making appointments, embarrassment and, for cervical screening, fear of pain or previous bad experiences.
Women also reported challenges within healthcare interactions, including feeling “not taken seriously”, “dismissed” or “not believed” when seeking gynaecological advice.
Jenny Halpern Prince, chief executive and charity co-founder, said: “We frequently hear reports of women feeling ‘not taken seriously,’ ‘dismissed,’ or ‘not believed’ when seeking gynaecological advice.
“These experiences highlight crucial areas where we can improve patient support and trust within our healthcare system, ensuring women receive the empathetic and effective care they need.”
The Lady Garden Foundation said it aims to increase awareness of both the charity and the five gynaecological cancers.
It also aims to serve as a primary entry point for reliable, stigma-free information, helping people understand their bodies, recognise symptoms and overcome barriers to accessing care.
Its Silent No More Garden was unveiled at the RHS Chelsea Flower Show 2026. Designed by Darren Hawkes, the garden serves as a national call to action, using five sculptures to spark conversations, break long-standing taboos and encourage open dialogue about symptoms and preventative care.
Butler said: “Continued focus and collaborative action are essential to progress.
“The ongoing commitment from the government, alongside societal efforts to break down taboos surrounding gynaecological health, are crucial.
“The Lady Garden Foundation is dedicated to being a beacon of information and support, empowering women with the knowledge they need. We urge everyone to learn the signs, speak up, and help us save lives.”
Hormonal health
Tampons could track MS nerve damage, study suggests

Menstrual fluid collected from tampons could one day provide a simple, non-invasive way to measure a biomarker of nerve damage and potentially track disease activity in neurological conditions such as multiple sclerosis (MS), new research suggests.
Because neurofilament light chain, or NfL, has emerged as a promising biomarker of MS, detecting it in menstrual fluid raises the possibility of monitoring disease activity through the natural monthly cycle of menstruation.
Researchers at Nextgen Jane, in collaboration with Siemens Healthineers, found that NfL, a protein released when nerve cells are damaged, can be reliably detected in tampon-collected menstrual samples.
“Finding that NfL tracks with estrogen levels in menstrual fluid, independent of how much blood is in the sample, tells us there is real biology here, not just contamination,” said Ridhi Tariyal, chief executive and co-founder of Nextgen Jane.
“That changes what this specimen means for neurology.”
In MS, the immune system mistakenly attacks healthy parts of the brain and spinal cord, causing inflammation and damage that can lead to symptoms such as fatigue, numbness, muscle weakness, and problems with balance or vision.
Confirming a diagnosis of MS usually requires a combination of physical and neurological examinations, MRI scans to check for brain and spinal cord damage, and lab tests.
These can include detecting certain proteins in cerebrospinal fluid, the fluid that surrounds the brain and spinal cord, which may indicate inflammation in the brain or spinal cord.
After diagnosis, patients are usually monitored through clinical assessments and routine MRI scans, which help doctors detect changes in disease activity and determine whether treatments are working.
However, MRI assessments can be costly and are usually done once or twice a year, which can prevent doctors from spotting early changes and making timely treatment adjustments.
Because of these challenges, researchers have long sought cost-effective, more accessible biomarkers that could help detect MS earlier, monitor disease activity over time, and evaluate treatment response.
One of the most promising candidates is NfL, a protein found in nerve cell fibres that is released into the bloodstream and cerebrospinal fluid when nerve cells are injured.
To explore whether menstrual fluid could serve as a source for detecting this biomarker and, more broadly, as a non-invasive specimen for monitoring neurological, hormonal and inflammatory signals, researchers analysed 99 tampon-collected menstrual fluid samples from 91 participants.
They used Siemens Healthineers’ highly sensitive NfL assay on its automated testing platform. The team also measured hormonal and inflammatory molecules.
NfL was detected in 98 of the 99 menstrual fluid samples analysed, suggesting the biomarker can be reliably measured in tampon-collected samples.
The researchers also found that NfL levels were associated with estradiol levels, a form of the hormone oestrogen, and that this relationship remained significant even after adjusting for differences in blood content between samples.
By comparison, levels of inflammatory markers were more strongly linked to blood content itself.
According to the researchers, this suggests NfL detection was not merely the result of blood contamination, but may reflect biologically meaningful changes that could potentially be tracked over time through routine menstrual sampling.
Building on these findings, Nextgen Jane is now planning prospective studies to investigate whether menstrual NfL and other neurological proteins can be used to track disease activity over time in conditions such as MS.
“The menstrual cycle provides a built-in longitudinal framework: the same individual, the same biological process, month after month,” said Stephen Gire, chief scientific officer at Nextgen Jane.
“Coupling the NextGen Jane platform with Siemens Healthineers’ highly sensitive NfL assay gives us a path to study neurological biomarker trajectories in a way that has not been possibe before.”
Cancer
Artera receives FDA Clearance for breast cancer platform

Artera has won FDA clearance for ArteraAI Breast, its breast cancer platform for patients with early-stage HR-positive, HER2-negative invasive breast cancer.
ArteraAI Breast is the first and only FDA-cleared digital pathology-based risk stratification tool for breast cancer.
These FDA milestones come alongside recent CE marking for both the ArteraAI Prostate Biopsy Assay and the ArteraAI Breast Cancer Assay in the US and Europe.
“FDA clearance for ArteraAI Breast represents a significant expansion of our FDA-cleared AI platform in oncology,” said Andre Esteva, chief executive and co-founder of Artera.
“This milestone reflects the growing role of our technology across multiple cancer types. Breast cancer care is highly nuanced, with treatment decisions that depend on individualised risk.
“Our goal remains consistent across prostate and breast cancer, and beyond: to help clinicians translate complex data into more precise, personalised treatment decisions across the cancer journey.”
ArteraAI Breast generates an AI-derived risk score showing the likelihood of distant metastasis, meaning cancer spreading to another part of the body, in patients with early-stage HR-positive, HER2-negative breast cancer.
Using digitised histopathology images, which are scanned tissue sample images, alongside patient clinical variables, the model sorts patients into low-risk and high-risk groups based on a predefined risk score cut-off.
In early-stage HR-positive, HER2-negative breast cancer, deciding the right intensity of treatment can be complex because clinical and pathological factors vary. Artera said the tool is designed to support clinicians within established decision-making frameworks.
Data presented at the 2025 San Antonio Breast Cancer Symposium evaluated the model in early-stage breast cancer and demonstrated the potential to inform chemotherapy benefit in certain patient populations.
“This clearance represents an important advance on the road to personalising treatments for patients with early-stage breast cancer,” said Eric Winer, medical oncologist and director of the Yale Cancer Center.
“Using AI and digital pathology has the potential to streamline operational workflows, while creating a strong interdisciplinary linkage between oncology and pathology. This approach may further improve the clinicians’ ability to help patients make the best treatment decisions.”
ArteraAI Breast is designed to integrate directly into standard pathology workflows using routine surgical resection samples, without requiring additional tissue or separate specimen collection.
This approach allows the software to provide same-day results, enabling pathology laboratories to give clinicians patient-specific prognostic risk information alongside standard histopathology reports.
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