# Digital Twins * **Definition:** Digital Twins in healthcare refer to virtual representations of physical entities, such as patients, medical devices, or healthcare processes, that are created using real-time data and advanced analytics. These models enable personalized medicine, predictive analytics, and improved decision-making by simulating outcomes and monitoring health status over time. * **Taxonomy:** Healthcare Topics / Digital Twins ## News * Selected news on the topic of **Digital Twins**, for healthcare technology leaders * 7.4K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/22/2025 | [**Digital Twin Consortium Announces Digital Twin Testbed Program - Morningstar**](https://www.morningstar.com/news/globe-newswire/9456097/digital-twin-consortium-announces-digital-twin-testbed-program) | [[Morningstar]] | | 5/5/2025 | [**Digital Twins in Healthcare Market worth US$59.94 billion by 2030 with 68.0AGR**](https://www.prnewswire.com/news-releases/digital-twins-in-healthcare-market-worth-us59-94-billion-by-2030-with-68-0-cagr--marketsandmarkets-302445817.html) | [[PR Newswire]] | | 5/5/2025 | [**Digital Twins in Healthcare Market worth US$59.94 billion by 2030 with 68.0AGR**](https://finance.yahoo.com/news/digital-twins-healthcare-market-worth-143000202.html) | [[Yahoo Finance]] | | 4/28/2025 | [**Digital twins critical for digital transformation to fly in aerospace - Computer Weekly**](https://www.computerweekly.com/news/366623100/Digital-twins-critical-for-digital-transformation-to-fly-in-aerospace) | [[Computer Weekly]] | | 3/1/2025 | [**The Promise and Pitfalls of Digital Twins in Healthcare - by The Immersive Nurse - Medium**](https://medium.com/@TheImmersiveNurse/the-promise-and-pitfalls-of-digital-twins-in-healthcare-b30a21ab10e8) | [[Medium]] | | 2/27/2025 | [**Digital Twin Technology - by Florence Welch - Feb, 2025 - Medium**](https://medium.com/@Florencewelch52/digital-twin-technology-b0d14306f961) | [[Medium]] | | 2/13/2025 | [**Dive into the Rise of AI-Driven Digital Twins: Revolutionizing Industries and Enhancing Efficiency**](https://www.linkedin.com/pulse/dive-rise-ai-driven-digital-twins-revolutionizing-am7pc) | [[Linkedin]] | | 2/6/2025 | [**Custom Market Insights (Analysis, Outlook, Leaders, Report, Trends, Forecast ... - Yahoo Finance**](https://finance.yahoo.com/news/latest-global-healthcare-digital-twins-163000337.html) | [[Yahoo Finance]] | | 1/31/2025 | [**Deloitte Earns Top Recognition in Healthcare IT for AI, Cloud, and Digital Innovation, Black ...**](https://finance.yahoo.com/news/deloitte-earns-top-recognition-healthcare-194500093.html) | [[Yahoo Finance]] | | 1/17/2025 | [**Making Sense of Spatial Computing and Digital Twins for Industry**](https://www.pymnts.com/technology/2025/making-sense-of-spatial-computing-and-digital-twins-for-industry/) | [[PYMTScom]] | | 1/7/2025 | [**Healthcare Digital Twins Market to hit USD 31.2 billion by 2032, says Global Market Insights Inc.**](https://finance.yahoo.com/news/healthcare-digital-twins-market-hit-103000100.html) | [[Yahoo Finance]] | | 1/7/2025 | [**Digital Twin Market size to increase by USD 163.42 Billion between 2024 to 2029 ... - PR Newswire**](https://www.prnewswire.com/news-releases/digital-twin-market-size-to-increase-by-usd-163-42-billion-between-2024-to-2029--market-segmentation-by-deployment-end-user-geography---technavio-302342974.html) | [[PR Newswire]] | | 12/30/2024 | [**Digital Twins Open The Door for Next-Gen Clinical Trials - HIT Consultant**](https://hitconsultant.net/2024/12/31/digital-twins-open-the-door-for-next-gen-clinical-trials/) | [[HIT Consultant]] | | 12/20/2024 | [**The Download: Digital Twins, AI Data, and the Future of Healthcare - Medium**](https://medium.com/vanguard-industry-foresight/the-download-digital-twins-ai-data-and-the-future-of-healthcare-64cb675dfb58) | [[Medium]] | | 12/6/2024 | [**eMerge Americas Announces 2025 Healthtech Innovation Hub Presented by Jackson ...**](https://www.morningstar.com/news/pr-newswire/20241206dc73407/emerge-americas-announces-2025-healthtech-innovation-hub-presented-by-jackson-health-system-and-uhealth-welcoming-new-strategic-partners) | [[Morningstar]] | | 12/6/2024 | [**eMerge Americas Announces 2025 Healthtech Innovation Hub Presented by Jackson ...**](https://www.prnewswire.com/news-releases/emerge-americas-announces-2025-healthtech-innovation-hub-presented-by-jackson-health-system-and-uhealth-welcoming-new-strategic-partners-302324635.html) | [[PR Newswire]] | | 12/6/2024 | [**eMerge Americas Announces 2025 Healthtech Innovation Hub Presented by Jackson ...**](https://finance.yahoo.com/news/emerge-americas-announces-2025-healthtech-115700582.html) | [[Yahoo Finance]] | | 8/22/2024 | [**Digital Twins In Healthcare Market Advancements Highlighted by Share And Analysis Report 2024**](https://www.whatech.com/og/markets-research/medical/869879-digital-twins-in-healthcare-market-share-and-analysis-report-2024.html) | whatech.com | | 8/2/2024 | [**Digital Twins in Healthcare Market: A Comprehensive Analysis of Technology Adoption ... - WhaTech**](https://www.whatech.com/og/markets-research/medical/862257-digital-twins-in-healthcare-market-a-comprehensive-analysis-of-technology-adoption-clinical-applications-economic-impact.html) | whatech.com | | 7/23/2024 | [**Mirror, Mirror: How Digital Twins Can Rescue Healthcare - Medscape**](https://www.medscape.com/viewarticle/mirror-mirror-how-digital-twins-can-rescue-healthcare-2024a1000das) | [[Medscape]] | | 7/23/2024 | [**Unlearn Publishes Peer-Reviewed Article Evidencing the Path to Applying AI-Powered Digital Twins in Healthcare**](http://www.businesswire.com/news/home/20240723818524/en/Unlearn-Publishes-Peer-Reviewed-Article-Evidencing-the-Path-to-Applying-AI-Powered-Digital-Twins-in-Healthcare/?feedref=JjAwJuNHiystnCoBq_hl-RLXHJgazfQJNuOVHefdHP-D8R-QU5o2AvY8bhI9uvWSD8DYIYv4TIC1g1u0AKcacnnViVjtb72bOP4-4nHK5ieT3WxPE8m_kWI77F87CseT) | [[Business Wire]] | | 7/8/2024 | [**Digital Twins Find Their Footing In IC Manufacturing**](https://semiengineering.com/digital-twins-find-their-footing-in-ic-manufacturing/) | semiengineering.com | | 7/3/2024 | [**Digital Twins in Healthcare Market Set for Exponential Growth, Projected to Reach $4.5 ... - WhaTech**](https://www.whatech.com/og/markets-research/medical/851708-digital-twins-in-healthcare-market-set-for-exponential-growth-projected-to-reach-4-5-billion-by-2031) | whatech.com | | 6/28/2024 | [**Digital Twins in Healthcare Market Trends and Global Forecasts, 2035 - ResearchAndMarkets.com**](http://www.businesswire.com/news/home/20240628886616/en/Digital-Twins-in-Healthcare-Market-Trends-and-Global-Forecasts-2035---ResearchAndMarkets.com/?feedref=JjAwJuNHiystnCoBq_hl-RLXHJgazfQJNuOVHefdHP-D8R-QU5o2AvY8bhI9uvWSD8DYIYv4TIC1g1u0AKcacnnViVjtb72bOP4-4nHK5ieT3WxPE8m_kWI77F87CseT) | [[Business Wire]] | | 6/23/2024 | [**Digital twins in healthcare and drug discovery: From idea to success stories**](https://pharmaphorum.com/digital/digital-twins-healthcare-and-drug-discovery-idea-success-stories) | [[Pharma Phorum]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Johnson & Johnson**: Collaborating with Unlearn to integrate digital twins in clinical trials. - **MetAI**: A Taiwanese startup developing AI models for creating digital twins from CAD files, focusing on semiconductor and smart warehouse applications. - **Oracle Corporation**: Provides cloud solutions that support the implementation of digital twins in healthcare settings. - **IBM**: Offers AI and data analytics solutions that facilitate the creation of digital twins for personalized medicine. - **GE Healthcare**: Utilizes digital twin technology to optimize medical devices and patient care processes. - **Microsoft**: Provides cloud services and AI tools that support the development and implementation of digital twins in healthcare. - **Oracle**: Provides cloud-based solutions that facilitate the integration of digital twin technology in healthcare settings. - **NVIDIA**: Supports the development of digital twins through advanced computing technologies and partnerships with companies like Neural Concept. - **AWS**: Amazon's cloud platform that supports the deployment of digital twin technologies for healthcare applications. - **Unlearn**: An AI research company creating digital twins for clinical trials, enhancing the evaluation of treatments. - **AbbVie**: Partnering with Unlearn to utilize digital twins for optimizing clinical trial designs. - **SAP**: Integrates digital twin capabilities into its enterprise software solutions for healthcare management. - **Siemens**: Utilizes digital twin technology in healthcare to enhance operational efficiency and patient care. - **Siemens Healthineers**: A key player in healthcare digital twins, focusing on integrating advanced technologies for better patient care. - **Dassault Systems**: Known for its 3D modeling and simulation software, contributing to the digital twin technology landscape in healthcare. - **Johns Hopkins University**: Research institution utilizing digital twin simulations to improve patient outcomes in medical procedures. ### Partnerships and Collaborations - **Collaboration between healthcare providers and technology firms**: Joint efforts to develop digital twin technologies that enhance patient care and operational efficiency. - **Unlearn and Johnson & Johnson**: Working together to demonstrate how digital twins can reduce control arm sizes in clinical trials. - **ProJenX and Unlearn**: Enhancing ALS clinical trials using digital twins to improve treatment evaluation. - **Neural Concept and NVIDIA**: Collaborating to integrate 3D AI platforms for real-time interactive digital twins, enhancing design iterations and performance predictions. - **MetAI and Nvidia**: Collaboration to set a new standard for industrial digital twins and AI training environments. - **Research initiatives at Johns Hopkins University**: Focus on creating digital twins of patients to simulate surgeries and predict treatment responses. - **Unlearn and AbbVie**: Collaborating to show that digital twins can decrease overall sample sizes in clinical trials. - **Unlearn and QurAlis Corporation**: Collaborating to apply AI-powered digital twins in clinical trials, aiming to improve efficiency and outcomes in healthcare. - **Rockwell Automation and NVIDIA**: Integrating NVIDIA Omniverse APIs into Rockwell's digital twin software to enhance factory operations. - **Unlearn and APST Research**: This partnership aims to enhance ALS research by integrating extensive patient data to improve Unlearn's Digital Twin Generator. - **Orion Corporation and Aitia**: Developing Gemini Digital Twins for new cancer treatments, with significant financial incentives for Aitia. - **NTT Data and Amelia**: Partnership aimed at improving patient engagement through AI-driven solutions. - **Cleveland Clinic and various tech firms**: Implementing AI platforms to enhance electronic health records and improve clinician-patient interactions. - **eMerge Americas and Jackson Health System**: Partnering to showcase advancements in health technology at the Healthtech Innovation Hub. - **Cognizant and Google Cloud**: Collaboration to streamline healthcare administrative tasks using large language models. - **Memorial Sloan Kettering Cancer Center and Amazon Web Services**: Partnering to utilize AI for advancing oncology care through data integration and analysis. - **Hospital de Sant Pau and Huawei**: This collaboration focuses on digital transformation in healthcare, emphasizing data storage and security solutions. - **Quibim and various healthcare institutions**: Forming partnerships to enhance patient analysis and imaging solutions for precision medicine. ### Innovations, Trends, and Initiatives - **Digital Twins in Healthcare**: Digital twins are being utilized for personalized medicine and surgical planning, allowing for patient-specific models that enhance treatment precision. - **Digital Twins in Precision Health**: Utilizing computational models to enhance therapeutic decision-making and patient prognosis by modeling individual health states. - **Personalized medicine through digital twins**: Research is exploring the creation of individual digital twins to assess long-term health risks and optimize treatment plans. - **AI-Driven Digital Twins**: Utilized to simulate disease progression and predict treatment responses, enhancing personalized medicine. - **AI and Digital Twins Integration**: Advancements in AI are enhancing the capabilities of digital twins, making them more viable for applications in healthcare. - **Digital Twins in Healthcare Market**: Projected to grow from $1.64 billion in 2023 to $82.40 billion by 2031, driven by advancements in personalized medicine and predictive analytics. - **Use of digital twins in clinical trials**: Enhancing patient recruitment and simulating outcomes to reduce real patient involvement. - **Integration of AI, IoT, and ML**: These technologies are driving the adoption of digital twins in healthcare for improved decision-making and operational efficiency. - **AI and Digital Twins**: Increasing integration of AI in healthcare to enhance workflows, predictive maintenance, and personalized treatment strategies. - **Texas Children's Hospital Project**: An example of using AI-powered digital twins to improve healthcare efficiency and collaboration. - **Growth of the digital twin market**: Projected to grow by USD 163.42 billion from 2025 to 2029, with a CAGR of 64.9%. - **Growth of Digital Twin Market**: Projected to reach $9.69 billion by 2028, driven by advancements in data analytics and increasing adoption in drug discovery and personalized medicine. - **Decentralized Clinical Trials**: Digital twins facilitate remote data collection, reducing travel burdens and improving accessibility for clinical research. - **Digital Twin-Assisted Surgery (DTAS)**: An innovation that enhances surgical outcomes through personalized procedures. - **AI and IoT Integration**: Enhancing digital twin capabilities for better prediction and customization in patient care. - **3D Technology Advancements**: 3D modeling and digital twins are transforming surgical planning and patient-specific care. - **FDA Approvals**: Significant rise in new drug approvals for targeted therapies, highlighting the need for digital twin solutions. - **Growth of Healthcare Digital Twin Market**: Projected to reach $8.8 billion by 2034, driven by the complexity of healthcare systems and demand for efficiency. - **Generative AI in Healthcare**: Being leveraged to improve business outcomes while navigating data privacy and regulatory compliance challenges. ### Challenges and Concerns - **Data bias and ethical considerations**: Issues related to the accuracy and fairness of data used in creating digital twins. - **Interoperability Issues**: The need for standard interfaces and secure data sharing among vendors to fully realize the benefits of digital twins. - **Data Privacy**: Concerns regarding the handling of sensitive patient data in digital twin applications. - **Cybersecurity Vulnerabilities**: Concerns regarding data security and privacy in the context of digital twin applications. - **Regulatory Compliance**: Need for adherence to regulations like GDPR and HIPAA in the deployment of digital twins. - **Integration Complexity**: Challenges in integrating digital twin technologies with existing healthcare systems. - **Data security and privacy**: Concerns regarding the collection and management of sensitive health data in digital twin applications. - **Algorithmic Bias**: Challenges related to transparency in data sourcing and the potential for bias in AI models used for digital twins. - **Integration with Existing Systems**: Challenges in integrating digital twin technology with current healthcare infrastructure. - **Regulatory compliance**: Challenges in ensuring that digital twin technologies meet healthcare regulations and standards. - **High Implementation Costs**: The initial investment required for adopting digital twin technology can be a barrier for many healthcare organizations. - **High Initial Costs**: The financial burden of implementing digital twin technology can be a barrier for many healthcare organizations. - **Implementation Costs**: High costs associated with deploying digital twin technology in healthcare settings may hinder widespread adoption. - **Data Privacy and Security**: Concerns regarding the concentration of data among a few tech giants, necessitating robust governance frameworks for ethical use. - **Data Management**: Challenges in managing and integrating data from various sources, particularly with legacy systems. - **Talent Acquisition**: The healthcare sector faces challenges in acquiring skilled professionals, particularly in cybersecurity and AI integration. - **Ethical Considerations**: Issues related to consent and equitable access to healthcare technologies must be addressed. - **Complexity of Modeling**: The difficulty in accurately modeling human biological systems due to the complexity of interactions among trillions of cells. ## Related Topics [[Digital Twins Technology]]; [[Digital Twins in Healthcare]]; [[Digital Twin Technology]]