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ArticlesArticlesAltium is a cloud-based PCB design tool that allows you to work from any device with an internet connection, take your work with you, and collaborate with your team in real time. With real-time data, advanced analytics and artificial intelligence as their underpinnings, these virtual counterparts of physical objects, systems or processes aim to revolutionize patient care and operational efficiency throughout the healthcare system.
Digital twins in healthcare are real-time virtual copies of physical assets, processes or systems, in this case, human organs, healthcare facilities, or even individual patients. These digital twins can connect different data sources ranging from electronic health record (EHR), imaging, and wearable data to genomics, thus enabling comprehensive analytics and predictive assessments.
The power of digital twins was demonstrated, for instance, with the FDA-approved virtual heart model developed by Johns Hopkins University. This model enables cardiologist to simulate and predict cardiac behaviors with high precision which heralds the advent of tailored treatments According to a recent study, the global digital twin in healthcare market size was valued at approximately $3.55 billion in 2023 and is expected to grow at a compound annual growth rate (CAGR) of 60% from 2023 to 2030, expanding to $21.1 billion by 2030.
Digital twins in healthcare has tangible benefits seen in diagnostics, treatment, and operational (turning robots on/off) make digital twins in healthcare a significant application area of the digital twin concept.
One of the most exciting uses is the creation of digital twins of individual patients. And these models account for real-time biometric, genetic and physiological data to simulate treatments, predict responses to therapies and to plan surgical procedures. This makes precision medicine-based methods highly effective not only in improving patient outcomes but also in minimizing any unsafety factors. Researchers at Stanford University, for example, used digital twins to study calcium buildups in coronary arteries and use that research to guide algorithms to develop better cardiovascular risk predictions.
How digital twins would change the field of surgery is by allowing surgeons to practice and perfect complicated surgical procedures in a digital environment before ever attempting them on an actual patient. This groundbreaking advancement reduces the risks associated with surgery while also improving accuracy and recovery time. For example, digital twin heart simulations have increased the success rates for ablation procedures for atrial fibrillation by limiting complications.
Pharmaceutical research, in particular, benefits from digital twins that speed up drug development by simulating the interaction of the drug with a biological system of interest. This accelerates clinical trials and reduces the time and cost of developing new drugs. A prime example is Sanofi’s use of digital twins to enhance testing by simulating the responses of drug candidates during the preclinical stage.
Digital twins improve hospital as well as patient processes Virtual models of healthcare facilities replicate with patient flow, resource allocation, and personnel placement, enabling administrators to identify shortcomings and optimize performance. For example, Dublin’s Mater Hospital utilized a data-driven digital twin model to alleviate bed shortages and shorten wait times during peak patient admission hours.
Various technological advancements drive the growth and adoption of digital twins in the healthcare world. These systems rely on high-performance computing, artificial intelligence, and IoT to integrate and analyze data as it is created. Nonetheless, machine learning algorithms used to improve prediction are provided through accurate imaging techniques, poking huge 3D scans or MRI of systems.
Additionally, digital twin models have been identified as transformative in terms of improving personalized medicine by integrating genomic and proteomic datatypes. Using these massively parallel datasets, researchers can model disease progression, forecast therapeutic responses, and personalize treatment protocols for specific patients.
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11th edition of Thailand’s leading medical and healthcare exhibition, will return from 10 – 12 September 2025 at BITEC, Bangkok, setting new records in scale and scope. Organised by Messe Düsseldorf Asia, the exhibition will feature 1,000 exhibitors from 40 countries and regions, 20 national and group pavilions, and is expected to welcome thousands of trade visitors, hosted buyers, and healthcare professionals from across ASEAN and beyond.
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