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💡Digital Twins - What exactly are they? 💡 Check out the post from our speakers Paula Salme Sandrak and Ghaith Sankari who will be presenting at the  𝟰𝘁𝗵 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗶𝗻 𝗟𝗶𝘀𝗯𝗼𝗻 this November. Reserve your seat at https://lnkd.in/dnGCCigv! #dhubiq https://lnkd.in/dm6TZG-b

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Interdisciplinary Product Strategist in Health AI & Biotech in Noncommunicable Chronic Diseases | Health & Wellness Coach

Ever wished you had a twin to tackle life's challenges? 👯♂️ Someone who’s on the same page with you but sees past the many oversights and biases we all have about specific life situations; someone who can zoom out from the narrow moment and tell you where to go because they have already been there? 🧭 Well, the health AI world has its own version of this superhero duo: Digital Twins (DTs). 🦸♂️🦸♀️ Imagine a digital doppelgänger of yourself, but instead of swapping places and confusing your friends, this twin is a high-tech replica of your body, packed with relevant data about your health. And no, it’s not just your steps or sleeping hours or HRV, but much more precise physiological information that would allow – among other things – physicians to test treatments on your digital stunt double before trying them on the real you. 🧪👨⚕️ • Would the meds help? 💊 It’ll be a lot clearer before you need to pop that pill. • Side effects? 😣 You’ll know beforehand. • How might you look if you tweaked your lifestyle, for example, eat less X and more Y, and ditch smoking? 🥑🚬Wow, dayyum, look at youuu! 😘 Newborn motivation. So, what exactly are Digital Twins? 🤔 Picture your health as a super complicated video game. 🎮 Your digital twin is like the ultimate character, updated in real-time with all your health data – from blood pressure to hormone levels. 📊🩸 In fact, Digital Twins can be created to replicate anything, not just humans. They’ve been used in various industries for a while - manufacturing, aerospace, urban planning… 🏭✈️🌆 It’s just that in healthcare, the technology is taking its baby steps. Why should we care anyway? Think about the healthcare challenges we face: • 🔮 Predicting chronic and acute illnesses so we can address them before they happen, • 👨🔬 Personalizing treatments so, for starters, you wouldn’t get that one-pill-for-all type of drug that was first studied only on men, in the 1990s… , or • Avoiding those endless trial-and-error medication routines - when you're already on a cocktail of meds 🍸💊💊💊, to name a few… Properly trained and highly validated Digital Twins could simulate our health journeys, predicting how we’d respond to different interventions. 🤖 But, let's not get ahead of ourselves. Creating these digital counterparts involves wrangling huge amounts of data (real structured data, not “health information”) and ensuring privacy, not to mention the sheer complexity of replicating a living human. Yet, the prospect is undeniable. 💫 --- This post is part of the series on Digital Twins in Healthcare & Health AI Product Development, authored and reviewed by Paula Salme Sandrak and Ghaith Sankari. ✍️ As product developers focusing on health AI, we understand the potential as well as the obstacles in developing health AI products. We will be publishing on a number of exciting topics to explore these opportunities and challenges over the coming weeks and months. 📅✨ Photo Credits: Yulia Matvienko

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