Open Call DIGITAL-2021-DEPLOY-01-TWINS-HEALTH: An Ecosystem for Digital Twins in Healthcare

European CommissionThe development of digital twins in healthcare (DTH) has progressed substantially, profiting from advances in science and technology. In order to exploit their benefits in view of better prevention approaches, faster and more accurate diagnoses, personalised treatments and care, a framework to structure cooperation and leverage on synergies between academia, private sector, regulators and end-users needs to be strengthened.

Outcomes and deliverables

  • a consolidated European ecosystem around digital twins for healthcare that brings together, streamlines, bundles and fosters their use across stakeholders in a coordinated manner, thereby empowering patients and enabling health professionals, pharmaceutical and medical devices industries, SMEs, software developers, academia and regulatory agencies to make use of DTH in full compliance with applicable data protection requirements;
  • a roadmap for the development of a strategic approach to accelerate the uptake of DTH-based solutions and for further integrating the resources towards a comprehensive virtual representation of the human body;
  • a governance framework for a federated, cloud-based repository, combining DTH resources, as well as the subsequent use and deployment of the repository;
  • the blueprint and technical specifications for a simulation platform for DTHs, and early prototypes.

Objective

The objective is to support the roll-out of DTH by mapping and structuring the ecosystem within the EU Member States and associated countries to identify and pool existing resources, and foster collaboration and overall integration of the stakeholders, while ensuring adequate clinical representation. This will be facilitated through a roadmap, a federated repository connecting resources and a simulation platform.

The Coordination and Support action will:

  • map and link the actors and initiatives on DTH, develop a blueprint of and foster an inclusive ecosystem to share knowledge and facilitate understanding between developers, users, and decision-makers throughout the relevant sectors. This will include support for designing a ‘roadmap’ in view of both the uptake of DTH, and their further integration towards a comprehensive digital twin of the entire human body, taking into consideration different stakeholder groups, identifying the needs of end-users, determining the necessary enabling infrastructure and considering a framework for the deployment of digital companions;
  • coordinate the deployment of a federated, cloud-based repository of DTH, inter alia by pooling existing digital twins in healthcare (incl. models, methods, datasets), gathering and analysing best practices, and identifying relevant technological standards, recommendations and/or guidelines geared towards quality assessment;
  • develop and employ technical specifications and operational prototypes for a simulation platform allowing practitioners to design, create, test and validate digital twins in healthcare, linked also to high performance computing infrastructures.

Opening date: 17 November 2021

Deadline: 22 February 2022 17:00:00 Brussels time

Deadline Model: single-stage

Type of action: DIGITAL-CSA DIGITAL Coordination and Support Actions

For topic conditions, documents and submission service, please visit:
https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/digital-2021-deploy-01-twins-health

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...