Key Takeaways

Here are concise takeaways from the Galaxy Unpacked 2026 meeting notes:

– Samsung’s vision: Move health care from reactive treatment to preventive, personalised, connected experiences. Focus on everyday behavior, clinical credibility/privacy, and advanced AI/research to close the “first mile” (detection/monitoring) and “last mile” (action/behavior change).

– Core problem highlighted: Despite widespread health data (wearables, apps), chronic disease is rising due to gaps between data and actions. The “missing miles” are detection/monitoring outside clinics and translating insights into sustained personal action.

– Connected Care approach: Samsung aims to integrate wearables, mobile devices, and an ecosystem of partners to capture context around health signals and support timely decisions, not just present numbers.

– Three focus areas:
1) Everyday behavior: Make healthy choices easier by integrating Health data with everyday routines (food planning through Samsung Health and Samsung Food; guided movement via Galaxy Watch and iFIT; behavior-change driven experiences rather than mere tracking).
2) Clinical credibility and privacy: Build trust through real-world clinical evidence, regulatory-aligned processes, and robust privacy protections (Knox security, GDPR-like infrastructure, and European Health Data Space alignment). Initiatives include decentralized clinical trials and data custodianship models.
3) Advanced AI and research: Use health foundation models to interpret biosignals contextually, enabling personalized insights and proactive care rather than generic population averages.

– Everyday behavior details:
– Samsung Health + Samsung Food: Surface underlying health indicators (BMI, Antioxidant Index, AGEs Index) and tailor meal planning to actual eating preferences; aim to make healthy choices the easy choice, including days when energy is low to cook.
– iFIT integration: Access expert-led programs via Samsung Health; Fitness Index provides a holistic fitness view; potential future: Health Assistant to align workouts with goals and history.

– Activation vs engagement: The measure of success is not nudges but real actions—healthy choices appearing at the right moment (e.g., healthier grocery cart decisions, timely workouts).

– Privacy and trust specifics:
– Data ownership: User-owned data with Samsung as custodian.
– Security layers: Samsung Knox, GDPR-compliant infrastructure, alignment with European Health Data Space.
– Decentralized Clinical Trials: Participant identities remain with healthcare orgs; data pseudonymized from the outset.

– Advanced AI/Ubiquitous health signals:
– Health foundation models use self-supervised learning on unlabeled biosignal data.
– Goal: Interpret body language from signals collected in daily life and provide continuous, personalized insights.

– Illustrative future visions (one sentence per panelist):
– Kartik Poria (Samsung Food): Eating well will feel like having a pocket chef/dietitian guiding dinner choices.
– Kevin Duffy (iFIT): A coach that knows your body and adapts workouts daily.
– Rohit Ail (SRUK): Care that clinicians trust and patients control; evidence-based and privacy-first.
– Otávio Penatti (SRBR): AI that understands the body’s language and acts before problems begin.

– Practical takeaways for execution:
– Prioritize seamless integration across hardware (wearables, sensors) and software (Health, Food, third-party apps) to support daily decision-making.
– Build and publish robust clinical evidence in real-world settings to satisfy clinicians and regulators.
– Elevate privacy by design; ensure data rights and governance meet stringent standards and user trust expectations.
– Invest in health-focused foundation models to translate biosignals into actionable insights at the point of need.

If you’d like, I can convert these into a one-page executive brief or a slide-ready summary with bullet points aligned to your stakeholders.

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Summary of [Galaxy Unpacked 2026] Samsung and Partners Envision a Connected Care Future – From First Signal to Lasting Change

At Galaxy Unpacked 2026 in London, Samsung Electronics set out its vision for the next chapter of digital health – a future where care moves from reactive treatment toward preventive, personalised and connected experiences, supported by trusted health innovation and partnerships across the healthcare ecosystem.

 

To explore that vision, Samsung hosted a Health Forum panel, “Rewriting the Rules of Preventive Health.” Moderated by Dr. Hon Pak, Senior Vice President and Head of the Digital Health Team, Mobile eXperience (MX) Business at Samsung Electronics, the session brought together leaders across nutrition, fitness, clinical research and AI to examine how technology can close the gap between knowing and doing in everyday health.

 

 

The Paradox — and the “Missing Miles” of Health

Opening the discussion, Dr. Pak described a paradox at the heart of modern health: innovation and technology today has been transformational and accelerating, yet chronic disease continues to rise around the world.

 

“We live in the most measured era in human history — billions of people track their sleep, their stress, their heart rate every single day. And yet chronic disease keeps rising. More data, it turns out, hasn’t resulted in better health.”

 

He framed the disconnect as two “missing miles.” The first mile is detection and monitoring: much of what shapes our health happens outside the clinic, and until recently, continuous monitoring was neither available nor connected to the physician. The last mile is action: even after a diagnosis and a care plan, it is the individual who has to act day after day — and life is busy, and change is hard.

 

 

Samsung, Dr. Pak argued, is uniquely positioned to close both gaps. With technology that stays with people throughout their daily lives — across wearables, mobile phones, and a connected ecosystem — Samsung can understand not just raw biometric numbers, but the context behind them.

 

“We don’t just see a number — we see what’s around it: whether this is a moment you’re ready to change something, or a moment you need a bit of support. Being there, at the point where personal decisions actually get made, is hard for a hospital, or any other company, to measure or act upon.”

 

But no single company can do this alone. That, he said, is why Samsung is building Connected Care together with partners — closing the first and last mile to scale prevention, with AI as the enabler across both. He introduced the three focus areas that would structure the conversation: everyday behaviour; clinical credibility and privacy; and advanced AI and research.

 

 

Everyday Behaviour: Closing the Last Mile at the Dinner Table and the Gym

 

Diet and exercise are two of the biggest levers on long-term health — and two of the most within our control. They are also, Dr. Pak noted, where the gap between knowing and doing is widest.

 

Kartik Poria, Head of Product at Samsung Food, located that gap in a moment everyone recognises.

 

“It’s Tuesday, six o’clock. You’re tired, you’re staring into the fridge, and everything you know about eating well loses to whatever’s quickest. That moment is what we’re going after — because what you eat, day after day, is one of the biggest levers we have on preventing chronic disease.”

 

He described how Samsung Health and Samsung Food are coming together to tackle two halves of the same problem: Samsung Health surfaces what is happening beneath the surface — indicators such as BMI, the Antioxidant Index and the AGEs Index[1] — while Samsung Food’s global recipe library facilitates meal planning and its food intelligence reflect how people actually like to eat. Sitting on top is a nutrition experience grounded in behaviour change science rather than tracking alone — learning a person’s habits and working with them so the healthier pattern becomes the easier one.

 

“We’re not adding another thing to manage — we’re making the healthy choice the easy one, for the night you’ve got the energy to cook and the night you don’t.”

 

 

Turning to movement, Kevin Duffy, CEO of iFIT, described exercise as foundational to both physical and mental wellbeing, and explained how iFIT’s expert-led programs are becoming more accessible through Samsung Health.

 

“Exercise is vital for both physical and mental wellbeing — cardiovascular health, strength, mobility, sleep quality, stress management.”

 

Through Samsung Health, users can discover and subscribe to iFIT’s premium fitness programs, while iFIT workouts integrate with Galaxy Watch so users can track key metrics during guided sessions. With Fitness Index[2], they receive a holistic view of their physical fitness in a single, easy-to-understand score, with personalised recommendations. Looking ahead, Duffy pointed to Samsung’s Health Assistant as a way to bring a user’s Fitness Index, goals and activity history together to surface the most relevant workout at the right moment.

 

“Exercise is not just about being active — it’s about understanding your body, building sustainable habits, and having the right guidance at the right time. By combining iFIT’s expert-led experiences with Samsung Health’s connected insights, we can help more people make movement a meaningful part of their everyday lives.”

 

 

But content and insights alone, Dr. Pak noted, don’t close the last mile. The harder question is how to move from engagement to activation. Samsung designs for real life, recognising that people slip and miss goals most of the time — and that those moments are precisely when timely, well-contextualised support matters most.

 

The real measure, he argued, is not how often the system nudges someone, but how many healthy actions actually happen — a doctor’s low-salt advice quietly showing up as items in a grocery cart, or a workout that meets a person where they actually are that day. Poria added that this is the true shift: from nudging people to changing the choice in front of them.

 

 

Clinical Credibility and Privacy: Trust Earned Through Evidence

Dr. Pak turned next to the question of trust — noting that wearable data is now something most clinicians have seen, but far fewer have been able to build into their day-to-day care. Closing that gap, he said, is a matter of evidence, workflow and trust.

 

Rohit Ail, Head of the Technology Incubation Lab at Samsung R&D Institute UK (SRUK), spoke to how his team works to generate clinical evidence in real-world settings.

 

“Our goal is to meet the standards expected by clinicians, researchers and regulatory bodies, and that means generating evidence in real-world clinical environments. This commitment builds on Samsung’s growing body of clinical research and validation evidence.”

 

He referenced ongoing collaborations across Europe, including partnerships with the NHS and clinical validation studies with leading hospitals. With San Cecilio University Hospital in Spain and Gemelli in Italy, Samsung is working on identifying and managing cardiovascular disease (CVD) risk using AI and decision-support technologies; with Fondazione IRCCS in Italy, the focus is on understanding and addressing the late effects faced by adolescent and young adult (AYA) cancer survivors through AI-based digital phenotyping and a non-invasive, holistic approach.

 

On privacy, Ail noted that Samsung considers user data to belong to the user, with Samsung acting as custodian.

 

“Trust begins with protecting users’ data. Samsung takes a three-layer approach: Samsung Knox for device-level security, GDPR-compliant infrastructure, and alignment with the European Health Data Space framework.”

 

He added that SRUK has also developed a Decentralised Clinical Trial framework, in which participant identities remain under the control of healthcare organisations and data is pseudonymised from the outset.

 

 

Advanced AI and Research: Reading the Body’s Signals

If everyday reach and clinical trust are two of the three pillars, intelligence is what binds them together. Dr. Pak introduced foundation models as a genuine turning point — a shift from population averages to something truly personal.

 

Otávio Penatti, Head of the Health AI R&D Team at Samsung R&D Institute Brazil (SRBR), explained what a foundation model for health actually means.

 

“A health foundation model is an AI model that uses self-supervised learning to learn meaningful features from unlabeled biosignal data. At Samsung, we are advancing health foundation model research across multiple global research teams, combining expertise in biosignal intelligence, wearable AI, and personalised health insights. Building on the success of large language models, we can now interpret body signals not as isolated data points, but as a structured biological language. These signals can be measured through wearable devices in everyday situations, and by applying foundation models to understand these biological patterns, we have the potential to provide continuous, personalised health insights.”

 

 

Three Focus Areas, One Goal

To close, Dr. Pak asked each panelist for a one-sentence vision of Connected Care in the era of AI five years from now.

 

• Kartik Poria (Samsung Food): “In five years, eating well won’t run on willpower — it’ll feel like having a chef and a dietitian in your pocket, turning what your body needs into what’s for dinner, day after day.”
• Kevin Duffy (iFIT): “A coach that knows your body and adapts every workout to who you are that day.”
• Rohit Ail (SRUK): “Care that clinicians trust and patients control — evidence-based and private by design.”
• Otávio Penatti (SRBR): “AI that understands the body’s language and acts before problems begin.”

 

Dr. Pak closed by tying the threads together: everyday behaviour, clinical trust and personal AI — three focus areas, one goal of closing the first and last mile to scale prevention while meeting people where they are.

 

“The future of health is connected, trusted and proactive — and it’s a road we’re glad to be traveling together.”

 

[1] Samsung Health is not a medical/therapeutic device. It is solely intended for fitness and wellness purposes only and is not intended for use in the diagnosis of disease or other conditions; or in the cure, mitigation, treatment or prevention of disease; or for the prevention or control of conception or pregnancy. Samsung recommends that you consult with your doctor or physician before participating in any exercise program.

 

[2] Fitness Index on Galaxy Watch9 is available on Android phones (Android 13 or above) and requires the Samsung Health app v7.0 or above. Samsung account login required. To use the feature, BIA and VO2Max each need to be measured at least once, along with 2 days of activity records and step count data. It is solely intended for fitness and wellness purposes only and is not intended for use in the diagnosis of disease or other conditions; or in the cure, mitigation, treatment or prevention of disease; or for the prevention or control of conception or pregnancy. Samsung recommends that you consult with your doctor or physician before participating in any exercise program.

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