AI-Driven Personalization For Health And Wellness Products

No personalization falls flat. Too much personalization feels creepy. Where's the sweet spot? Personalization in health experiences can be powerful. But it only works when it feels relevant, respectful, and aligned with the patient’s own motivations. When it WORKS: 🔹 Increased Engagement – Studies show that using a patient’s name or tailoring outreach to their health needs increases response rates. Personalized screening messages can significantly outperform generic reminders. 🔹 Relevance and Trust – When a message feels tailored for me, not just about me, it builds a stronger connection—and in preventive care, trust drives action. When it BACKFIRES: 🔹 Perceived Intrusiveness – Messages that reveal too much—or say it too bluntly—can feel invasive, not helpful. 🔹 Misalignment with Motivation – If the message doesn’t align with what the patient values or wants, it can spark reactance—a resistance to being nudged. 🔹 Emotional Misfires – Sensitive topics (like cancer risk or digestive issues) require care. Even well-intentioned personalization can provoke anxiety if it feels misjudged. Finding the BALANCE: 🔹Transparency builds trust – Patients don’t need to approve every message, but they do need to understand where it comes from and why they’re getting it. 🔹Support autonomy – Personalization should make people feel more in control, not less. Messages that align with a patient’s goals (like protecting family or staying active) are far more effective than messages that push the system’s agenda. 🔹Test and adapt – One person’s helpful nudge is another’s "ick". Behavioral testing and segmentation help strike the right tone. As AI gets integrated into more health experiences, we have an incredible opportunity to deliver more meaningful, personalized interactions at scale. But only if it supports patients' goals and motivations.

𝗢𝗽𝗲𝗻𝗔𝗜’𝘀 𝗛𝗲𝗮𝗹𝘁𝗵𝗕𝗲𝗻𝗰𝗵 𝗺𝗮𝘆 𝗵𝗮𝘃𝗲 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱 𝗳𝗼𝗿 𝗺𝗲𝗱𝗶𝗰𝗶𝗻𝗲—𝗯𝘂𝘁 𝗶𝘁𝘀 𝗿𝗶𝗽𝗽𝗹𝗲 𝗲𝗳𝗳𝗲𝗰𝘁 𝗰𝗼𝘂𝗹𝗱 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝘁𝗵𝗲 𝗳𝗶𝘁𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝘄𝗲𝗹𝗹𝗻𝗲𝘀𝘀 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆. 🧠💪 At first glance, HealthBench looks like another step forward in clinical AI: LLMs benchmarked against tasks like emergency triage, medication planning, and writing medical notes that are nearly indistinguishable from those of physicians. But here’s the 𝘳𝘦𝘢𝘭 signal beneath the noise: 🔍 HealthBench gives us a new framework to measure how well AI performs in high-stakes human decision-making. And that opens the door for a fitness parallel—a potential “PerformanceBench” that evaluates how AI models support: • Personalized training program generation based on sleep, HRV, menstrual phase, or glucose trends • Real-time decision-making in overtraining, RED-S, or injury risk • Nutrition and hydration guidance layered against individual physiology • Recovery strategy recommendations that actually improve outcomes In my world—where wearables like ŌURA, Garmin, POLAR, WHOOP, and Ultrahuman are becoming default for anyone serious about their performance—we’re already seeing clients bring AI-generated insights to the gym. 📲 “My app said today’s a zone 2 cardio day because I only got 5.5 hrs of sleep and my HRV dropped 12 ms.” 📈 “My recovery score was low, so I swapped strength day for mobility.” 🧠 “ChatGPT gave me a split routine based on my soreness and whoop strain.” This isn’t just personalization—it’s AI-driven agency. But as these AI tools become more widespread, we need to know: are they right? Are they effective? Are they safe? That’s where HealthBench’s model matters—because what it did for healthcare, we need in fitness: ✔️ A standardized way to benchmark LLM performance on decision quality ✔️ Human expert comparison (like physicians, coaches, RDs) ✔️ Transparent evaluations of what’s working, and what’s just noise The fitness and wellness industry has long lagged in evidence-backed programming outside of elite sport. But with HealthBench as a roadmap, we now have a chance to hold AI coaching to a higher bar—and build trust in tools that can scale expert-level insights. The future of fitness isn’t about AI replacing coaches. It’s about AI that earns its place alongside them—by being measured, validated, and improved. Learn more about OpenAI’s HealthBench - https://lnkd.in/ewEVMRWH 💬 I’m curious: how would you define a benchmark for AI in fitness and performance? What metrics matter most? #OpenAI #HealthBench #AIinFitness #WearableTech #RecoveryScience #DigitalHealth #PerformanceOptimization #LIFTS #FutureOfFitness #LLMs #PersonalizedWellnes

This week marks a major milestone for AI’s ability to improve human health and wellness. Here’s a sneak peek at SmartCart™ 🎉 Food is the foundation of health, and since 2019, Hungryroot has been at the forefront of AI innovation in the food industry. Our original algorithm, known internally as "box fill logic” (or BFL), leveraged an operations research algorithm to automatically fill customers' grocery carts based on their preferences. While two thirds of what our customers bought was chosen by BFL — meaning it underpinned our entire value proposition — it was limited in its ability to dynamically scale and evolve over time. About a year ago, we started developing a new system entirely from scratch by our incredibly talented and experienced in-house team of data scientists, ML and OR engineers. The result is SmartCart™, a first-of-its-kind AI system. It’s comprised of ten machine learning models that integrate into an operations research algorithm and analyzes millions of data points to recommend groceries, recipes, and supplements to help you and your family live healthier, more joyful lives. It’s like having your own personal assistant for healthy living. Each model serves a unique and specific purpose. For example, one of the models, which is built using an approach similar to ChatGPT, analyzes your recent orders, cross-references data from other users, and applies machine learning to suggest the ideal characteristics of your next order — low sodium, quick-to-prepare meals, or high protein, on-the-go snacks, for example. Given the factors that matter most vary by person and evolve over time, there’s a model that applies a weight to each of the other nine models, all designed to optimize customer satisfaction. This flexible, customer-centric approach replaces the rigidity of traditional rule-based systems and is cutting-edge in the field of AI. (Hungryroot has already been granted several patents on the system.) SmartCart™ is already showing results. Customers who use SmartCart™ order twice as often on Hungryroot as customers who shop on their own, demonstrating its ability to help people achieve their health objectives, save time, and discover new foods that bring them joy. 90% of SmartCart™ customers report progress in their health goals since joining the service, and on average, they save 3 hours each week on meal planning, shopping, and cooking. They also discover 3 times more food than shopping on their own. SmartCart™ is a paradigm shift that will require multiple iterations, but I’m so incredibly proud of the team, and I can’t wait to see what our customers think.

🍽️ AI isn't just changing how we work—it's revolutionizing how we eat! At Wellness Coach, we're fascinated by how artificial intelligence is creating a nutrition revolution right before our eyes. Imagine snapping a photo of your lunch and instantly knowing its exact nutritional breakdown. Or receiving meal suggestions perfectly tailored to your unique gut microbiome and metabolism. This isn't science fiction—it's happening now. AI systems can predict your blood sugar response to different foods without invasive testing, making smart eating accessible to everyone, not just those managing health conditions. What excites me most is how these technologies democratize nutrition knowledge. The expertise once limited to dietitians and nutritionists is becoming available through your smartphone. Food industry leaders are also using AI to predict ingredient shortages and maintain quality, ensuring healthier options remain on shelves consistently. The future of wellness isn't just about counting steps—it's about understanding exactly what your body needs to thrive. How do you think AI will change your relationship with food in the coming year? I'd love to hear your thoughts! #AIinWellness #NutritionTech #HealthInnovation #WellnessCoach