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Xtwin provides dramatically better health insights through your virtual body, organs, and cells, offering 1,000x more tests than any existing technology.

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Dr. Sai Balasubramanian is a healthcare strategy executive, speaker and writer, focusing on the intersections of healthcare, digital innovation, and technology. He completed an M.D./ J.D. dual-degree with distinguished honors, focusing his scholarship on how systemic changes to healthcare affect the realities of actual patient care and societal health outcomes.
Digital Twin Technology Has The Potential To Radically Disrupt Healthcare.

Digital Twin technology has gained an incredible amount of traction in the last few years. Though quite challenging to execute in a meaningful way, the concept is relatively simple: a digital twin is quite literally a digital version, model, or representation that is meant to replicate the constitution, nuances and behavior of a real-world physical counterpart.
Dr. Reinhard Laubenbacher
Dean’s Professor of systems medicine at the University of Florida. A mathematician and mathematics historian by training, his research focuses on the applications of mathematics to medicine. He is a fellow of the American Association for the Advancement of Science, the American Mathematical Society and the Society for Mathematical Biology, which he also serves as president-elect.
Medical ‘Digital Twins’ Will Lead the Way to Personalized Medicine.

A digital twin of you or me or even parts of us, based on such computer simulations, could help drug developers design, test and monitor, and aid doctors in applying, the safest and most effective treatments or therapies that are specific and tailored to our genetics or biochemistry.
Linda Geddes
Award-winning British journalist who writes about biology, medicine, and technology. She has worked as both a news editor and reporter for New Scientist magazine. Her work has appeared in The Guardian and Dorling Kindersley's The Human Body.
Research is growing into computational models that will move medicine beyond what works on the average patient.

Imagine having a digital twin that gets ill, and can be experimented on to identify the best possible treatment, without you having to go near a pill or a surgeon’s knife. Scientists believe that within five to 10 years, “in silico” trials – in which hundreds of virtual organs are used to assess the safety and efficacy of drugs – could become routine, while patient-specific organ models could be used to personalise treatment and avoid medical complications.