Entrepreneur
Oura launches women’s health AI model

Oura has launched its first proprietary women’s health AI model to provide personalised insights across reproductive health, the wearable ring maker has said.
The model powers the company’s existing AI chatbot, Oura Advisor, and supports questions spanning the reproductive health spectrum, from early menstrual cycles through to menopause.
It is rolling out through Oura Labs, the company’s opt-in experimental feature hub within the Oura app.
Oura says the women’s health AI model draws on established medical standards, research and knowledge sources reviewed by its in-house team of board-certified clinicians and women’s health experts.
It also analyses biometric signals and long-term trends, including sleep, activity, menstrual cycle, pregnancy and stress data, to tailor guidance.
Ricky Bloomfield, chief medical officer at Oura, said: “This custom model is a fundamental shift in how we responsibly deploy AI in health to meet the needs of our members.
“Women’s health is too complex, and too often overlooked, to rely on one-size-fits-all systems.
“By designing a model specifically for women and grounding it in trusted clinical science and real-world biometric data, we’re setting the standard for how responsible intelligence should be built and expanded across more areas of health, pairing rigorous science with the lived, longitudinal data that makes Oura uniquely powerful.”
The company said the model is intentionally designed to be non-dismissive, reassuring and emotionally supportive, but stressed that the chatbot is not intended to replace a doctor or be used for diagnosis or treatment plans.
The launch comes after Oura said its fastest-growing user segment is women in their early twenties, according to chief commercial officer Dorothy Kilroy.
Oura said the model is hosted entirely on company-controlled infrastructure and that conversations are never shared or sold. Users can access it by opting into Oura Labs within the app.
Features
Korean firm launches plant-based period pads in US

A South Korean femtech firm has launched plant-based period pads in the US, replacing synthetic superabsorbent polymers used in most pads with a plant-derived alternative.
Most period pads, including those marketed as organic, use synthetic superabsorbent polymers, or SAPs.
These plastic-based materials sit in the pad’s core and absorb menstrual fluid.
Inertia says its Prism Pads instead use LABOCELL, a patented cellulose-based absorbent matrix derived from plants.
The company says the material manages menstrual flow while remaining lightweight and breathable.
Co-founder and chief executive Hyoyi Kim said: “In a category that has relied on the same internal materials for decades, we believed innovation had to begin at the core.”
The startup was founded by female scientists from the Korea Advanced Institute of Science and Technology.
It says many pads sold as organic use organic cotton only on the surface layer but still rely on synthetic SAPs in the absorbent core, the part of the pad that does the actual absorbing.
Each Prism Pad combines an OCS-certified organic cotton topsheet, the bio-based LABOCELL core and a sugarcane-derived backsheet.
The company says the pads contain no plastic-based SAPs, chlorine, fragrance or dyes.
The product carries USDA Certified Biobased Product status with 82 per cent biobased content and Dermatest five-star certification for skin compatibility.
Inertia says it has sold more than 10m pads in South Korea since launch and claims the number one feminine care product ranking at Olive Young, the country’s largest health and beauty retailer.
The US launch marks the company’s first international market entry.
Insight
Tackling women’s mental health with music and tech

By Tuned Global
Mental health problems affect both men and women, but not in equal measure. According to the Mental Health Foundation, one in five adults has a common mental health condition: about 24 per cent of women and 15 per cent of men.
The Mind Organisation also reveals women are more likely to have suicidal thoughts and to make suicide attempts than men. So how can music therapy help?
At a recent industry event, audiences attending a session on music in the medicine and research space gained insights into the therapeutic benefits of music, such as treating conditions including dementia, Parkinson’s disease, PTSD and ADHD.
Three experts sat down to discuss this exciting and complex space and to explore how in trying to bring these treatments to patients or the broader market, the not-so-common intersection of medtech and music surfaces a number of challenges.
How AI can strengthen music therapies

Felicity Baker
Music therapy itself is not new, and therapists have been delivering such interventions in one-on-one sessions and small groups for decades.
The exciting prospect highlighted during the session was that technology and AI can now enable this at scale and with evidence-based approach.
If more people can gain access to music treatment through technology, there is the potential to decrease medication intake, reduce healthcare costs and improve outcomes.
However, scaling these therapies does introduce new considerations and challenges that traditional clinical settings have not had to face.
Felicity Baker is a music therapist, professor at the University of Melbourne and Founder of Matchplus.ai, a sensor-based AI solution that detects early physiological markers of agitation and delivers personalised music interventions to improve the wellbeing of people living with dementia and other cognitive conditions.
With over three decades of experience in dementia care and music therapy, Baker is leading this project at prototype stage to reduce distress, medication reliance and create a more enabling environment for individuals with cognitive decline.
Having successfully secured USD $1.3m from Google.org (the philanthropic arm of Google LLC) to develop scalable technology, Baker has become one of just 15 recipients worldwide from more than 800 applications.
“We’re using wearables to actually develop algorithms that can predict when someone is going to start wandering or is going to get up and have a fall or hit another resident in the nursing home,” she said.
“We’ve got it down to between five and 15 minutes, so a carer or family member can anticipate that something’s going to happen.”
Baker said using AI to help preempt when to use music was one thing, but then what order the music should come in, what kind of music and how to be sensitive to the specific symptoms of people with dementia created further challenges they continue to work on.
Simone Dalla Bella, co-director of the BRAMS laboratory at the University of Montreal is conducting research focused on rhythm interventions for patients with various disorders, including Parkinson’s disease.

Simone Dalla Bella
The interventions include rhythmic serious games such as Beat Workers, and mobile apps such as BeatMove, developed by the start-up BeatHealth that Dalla Bella co-founded.
For example, BeatMove can adjust music tempo to help Parkinson’s patients walk more effectively.
“Imagine that you have music in the background that you chose, and the music is going a bit faster than you, so it motivates you to run a bit faster.
“But then if you’re tired and you slow down, the music will follow you gently as if you were running or walking with a theoretical partner,” he said.
“A clinical trial is currently ongoing in France to test a large group of patients with Parkinson’s who basically take the app outside in a park, they use it, and we are seeing beneficial effects of that kind of intervention.”
Navigating music licensing challenges
The prospect of music-powered therapy is rather inspiring and life-affirming. Providing outcomes for patients with debilitating conditions in a non-invasive way is certainly a noble cause for academics and entrepreneurs alike to take up.
However, what many might not have considered is how these medical applications acquire and manage music rights.
Virginie Chelles, VP and Global Head of Marketing and Communications for music licensing and technology company Tuned Global, described the complexity facing these innovators.
In working with medical technology clients, Chelles highlighted that while founders deeply understand the science and tech behind their products and projects, they often have no knowledge of music industry operations.
“When it comes to us, there is a whole new industry, being the music industry which has little or no connection with the medical industry, [which in itself also] has a lot of regulation,” she said.
In the medical music space, Tuned Global currently works with MediMusic, a UK startup that uses AI to analyse brain responses and select music for anxiety and pain management.
Companies like MediMusic are obviously performing powerful and important work, but in cases where they are not up to speed on all of the requirements to correctly licence music, they are adding layers of risk to an already compliance-heavy environment.

Virginie Chelles
“They’re dealing with the legal side of medicine in being able to have it delivered in NHS Hospitals in the UK, and going for trials and all that is involved.
“There is a lot of paperwork to do there,” Chelles said. “But then, if they play the wrong track, [a] track that was not licensed, the business is in trouble.”
“[They would be looking at lawsuits], and they wouldn’t be paying the rights to the right people. There are master rights, there’s publishing rights. [So they think], ‘How do I do that? How do I find the right tracks?’.”
Often in these kinds of apps, an AI personalisation solution will drive the selection of tracks that resonate with certain patients, so another challenge for medtech clients in knowing the extent of what other tracks they will need access to.
Companies must also consider whether their licenses permit training medical algorithms on music assets.
“Thousands of tracks are released every day, and [if you look at what’s being produced] with AI. It’s even more,” she said.
“Many companies don’t need millions of tracks. If you work on dementia, just working on a back catalogue, like the catalog that makes sense for these people when they were in their 20s.
“For us, it helped us to understand what you need to license the right catalog, rather than millions of tracks, because accessing millions of tracks is a lot of money in storage and in processing.”
Understanding music licensing early in the innovation process
For medtech companies wanting to leverage music, Chelles was direct about the challenges and decisions they face when they first approach music licensing.
A lot of consideration needs to be made about how much music they need, what kind, whether they need commercial music or production music and more.
When MediMusic first engaged Tuned Global, these considerations presented a big challenge.
“Because licensing music is not a science. It’s not predictable, but we can definitely help,” she said.
Elaborating further, Chelles said that companies tended to be more successful when they addressed music licensing early in development rather than treating it as an afterthought.
“It’s going to take as much time to build the music and the licensing and compliance technology as building your medical device or app or science behind it,”
“Talk to a music expert early on, it can be us, but it can also be entertainment lawyers or licensing specialists that are going to be able to help from the beginning … to just understand what it is about.
“We can also help them to build their business case to pitch to those labels, because this can be quite strategic depending on the label and their current objectives.
“Making big pitches without understanding them or the broader environment could cost a lot of time and money if they don’t sign you up right away.
“Being able to demonstrate and communicate value in this industry on the industry’s terms is really important for success, so if you can work with people that have these relationships and can engage with them it’s very helpful.”
Working with an established music technology company can help medtech startups navigate label negotiations. Labels recognise that companies already working with licensing specialists have typically secured funding and understand the commercial requirements.
“[The labels are] like, okay, they are legit, because if Tuned Global can work with them, they already have the funding and they understand what they’re doing,” Chelles said.
Securing licensing agreements is only the first step. Companies then need backend technology to access the actual tracks.
Tuned Global maintains 190 million tracks, with the catalog growing daily.
Companies must negotiate separately with both master rights holders (the record labels) and publishers who represent musicians and writers.
Commercialising research and innovation
Neither researcher came from a background that prepared them for music industry negotiations.
Despite publishing in The Lancet and Nature and securing major medical research grants, Baker found music licensing remained unfamiliar territory.
Dalla Bella received more than $USD 3.5m in European research funding but similarly had no training in navigating music rights.
Startup activity at universities is growing, but this has not always been the case.
Baker noted that while the institutions themselves were very supportive and really wanted to push research innovations into the market, there still exists some commercialisation stigmas among some researchers.
“For some researchers, commercialising your research is kind of almost like a dirty word.
“To them it’s like you’re not being true to the science if you want to actually make a company and do something with this,” she said.
Dalla Bella described how moving from pure research into commercial applications required stepping outside his comfort zone.
“Sometimes in science, we’re very closed, right?
“We do work just in science, in our niche, we are happy with what we do, but then you have to go beyond your comfort zone to start to work with engineers and start to work with a startup company,” he said.
“[I’ve seen for a lot of people] it took time to build this collaboration, this common language, and to be able to work together. After a certain amount of time, you discover the real potential of doing that.”
The future of tech powered music therapies
The medical music technology sector is an exciting and expanding space.
As more innovators enter the industry, the intersection between healthcare regulation and music licensing will likely require more standardised frameworks and understanding of the complexities so they aren’t bogged down or exposed to complications that could cut their journey to provide care short.
For now, companies navigating both industries must build relationships with experts in each domain.
The medical science may be groundbreaking, but without proper music licensing infrastructure, therapeutic applications cannot reach patients or compensate the artists whose work makes treatment possible.
About Tuned Global
Tuned Global is the leading data-driven cloud and software platform that empowers businesses to integrate commercial music into their apps or launch complete streaming experiences using advanced APIs, real-time analytics, licensing solutions, and customisable white-label apps.
Our turnkey solutions for music, audio, and video — coupled with a broad ecosystem of third-party music tech integrations — make us the most comprehensive platform for powering any digital music project. We streamline complexities in licensing, rights management, and content delivery, enabling rapid innovation and bringing new ideas to life.
Since 2011, we’ve supported 40+ companies in 70+ countries — across telecom, fitness, media, aviation, and more — to deliver innovative music experiences faster and more cost-effectively.
For more information, visit www.tunedglobal.com.
Entrepreneur
Outpost Bio raises €2.9m for microbiology platform

Outpost Bio has raised €2.9m (US$3.5m) in pre-seed funding to develop a platform aimed at making human microbiology computable.
The London and Boston-based startup, founded in 2025 by Dr Jenny Yang and Alex Merwin, says it is working to decode interactions between microbes and human biology that it believes are often overlooked by existing biological models.
The company says most frontier biological models focus on elements encoded in human DNA. However, many biological processes arise from interactions between multiple biological systems.
Outpost Bio’s platform aims to address this by modelling what it calls the “interaction layer”, focusing on human microbiology, the study of micro-organisms that live in and on the human body.
Its Lab-in-the-Loop platform combines automated laboratory experiments with machine learning, a form of artificial intelligence that enables computer systems to improve as they process data. The platform creates a feedback loop in which models learn from experiments and guide what should be tested next.
The company says this approach generates proprietary human-derived functional data at scale, which it claims could help pharmaceutical partners reduce risk in clinical development, design safer formulations and support regulatory evidence. It also says food and consumer companies could use the system to test how prebiotics, botanicals and other ingredients affect microbial communities.
The startup says its platform could help partners developing molecules intended for use in or on the human body predict microbe-mediated metabolism, toxicity and response.
Dr Yang, co-founder and chief executive, holds a PhD from the University of Oxford and is a former Marie Curie Fellow with a background in clinical machine learning.
Co-founder and chief operating officer Alex Merwin previously served as head of growth for health and bio startups at AWS.
The pre-seed funding round was co-led by Merantix Capital and Seedcamp, with participation from OpenSeed VC, Defined and strategic family offices and angel investors.
Dr Yang said: “We’re building what we believe to be the most comprehensive dataset in human microbiology.
“Microbial communities can dramatically alter drugs and other interventions, yet this layer has been largely ignored because the data hasn’t existed at scale.
“For the first time, we can move beyond correlations to reveal causal pathways.”
Adrian Locher, co-founder and general partner at Merantix Capital, added: “What took decades to build for earlier biological models can now be achieved in years.
“Faster wet-lab data generation, lower sequencing costs, and more powerful machine learning make this the right moment to build predictive models of the microbes that live within and on us.”
With the new funding, Outpost Bio plans to expand its experimental and modelling platforms as it seeks to develop new approaches to designing drugs, ingredients and consumer health products.
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