How Digital Twin Technology is Disrupting Healthcare

Digital twins sound like science fiction, but they are very much real. And they’re making headway in the healthcare sector. In short, this technology allows us to create a virtual representation of a physical object or system. The options have expanded during recent years to include large items such as buildings, factories, and even people.

This article takes a deep dive into the digital twins technology. You'll discover what a digital twin is, and how they are being used in different industries. And more importantly, you will learn more about the role of digital twins in the healthcare industry, as well as find out three future-thinking startups that are shaping this landscape.

Digital Twin Startups Revolutionizing Healthcare

Unlearn.AI

Unlearn.AI is advancing a platform to accelerate clinical trials for Alzheimer's Disease, Multiple Sclerosis, and other complex diseases. By leveraging historical datasets and disease-specific machine-learning models, Unlearn generates virtual placebo patients created from actual patient baseline data in clinical studies. This approach increases trial power and confidence, accelerates trial timelines, and enables patient-level insights which in turn reduces the time to develop new medicines.

Currently, Unlearn.AI is using machine learning for comprehensive forecasting of Alzheimer's Disease progression. Most approaches to machine learning from electronic health data can only predict a single endpoint. The ability to simultaneously simulate dozens of patient characteristics is a crucial step towards personalized medicine for Alzheimer's Disease.

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Applications of Digital Twins in Clinical Trials for Alzheimer’s Disease

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How Digital Twins make it possible to design and run more efficient clinical trials with well-defined statistical properties.