12 Startups in the Digital Twin Healthcare Ecosystem: From Virtual Organs to Optimized Trials

Despite undeniable progress in life sciences over the last few decades, modern healthcare faces challenges on many fronts. Lengthy drug development processes, often spanning 10 to 15 years, suboptimal clinical trial designs that struggle with patient recruitment and retention, and a need for more personalised and preventive patient treatments contribute to inefficiencies.

The limited availability of physical resources and time constraints hinder real-time experimentation with new therapies, medical devices, and processes. Digital twin technology addresses these issues by enabling scientists and industry professionals to conduct experimentation in a virtual environment, streamlining processes and enhancing efficiency before introducing new inventions into the real world.

In this article: What Are Digital Twins? — Technology Overview — Biological Digital Twins — Experimental Digital Twins — Patient-Specific Digital Twins — Medical Device Twins

Cyprus has recently joined the group of 75 stakeholders supporting the European Commission's Virtual Human Twins (VHTs) Manifesto. The initiative aims to advance the development and integration of human digital twins within the European healthcare system while fostering global collaboration in the digital twin ecosystem. The signatories include companies, academic institutions, government bodies, computing centers, and healthcare providers from countries like the Netherlands, Belgium, Lithuania, Germany, Switzerland, and others across Europe and beyond.

The initiative receives €80 million in funding for research and innovation focused on computational models of patient pathophysiology, aimed at personalised disease management. An additional €24 million is designated for the development of an advanced digital platform for virtual human twin models under the Digital Europe Programme. The Manifesto highlights a new development in the healthcare digital twin domain, suggesting increased interest and potential for widespread application of this technology in future healthcare systems.

What Are Digital Twins?

Digital twins are dynamic virtual replicas of real-world physical objects, systems, or processes designed to optimise, simulate, predict, and analyse their real-life counterparts. Digital twin models are being increasingly applied in life sciences and clinical research, where the digital twin is a sophisticated virtual representation that mirrors the behavior of a physiological system, such as a human, an organ, or a cell. This technology enables real-time monitoring and optimisation of biological systems, providing insights and predictive capabilities for researchers and healthcare professionals.

The adoption of digital twins in life sciences has evolved over recent years, originally developed for industrial applications like manufacturing and engineering—digital twins have now expanded into healthcare and pharmaceutical domains, evolving together with the advancements in artificial intelligence (AI), Internet of Things (IoT), and big data analytics.

To read the rest of this article, upgrade to a BiopharmaTrend Pro subscription.

Gain full access to all of our deep dives and content archives.

Upgrade to Pro

Already a member? Sign in here.