Pathologists and clinical laboratories will play a key role in collecting the data needed to create a person’s digital twin
Digital twins is a promising new technology that is making a big impact in healthcare. This development is significant because clinical laboratory test results will be among the most important sets of data to go into the creation of a patient’s “digital twin.”
A digital twin is defined by IBM as “a virtual representation of an object or system designed to reflect a physical object accurately. It spans the object’s lifecycle, is updated from real-time data, and uses simulation, machine learning, and reasoning to help make decisions.”
“We define a digital twin for healthcare as a virtual representation of a person which allows dynamic simulation of potential treatment strategy, monitoring and prediction of health trajectory, and early intervention and prevention, based on multi-scale modeling of multi-modal data such as clinical, genetic, molecular, environmental, and social factors, etc.,” wrote the authors of a review article published in NPJ Digital Medicine titled, “Digital Twins for Health: A Scoping Review.”
“The concept of digital twin for health (DT4H) holds great promise to revolutionize the entire healthcare system, including management and delivery, disease treatment and prevention, and health well-being maintenance, ultimately improving human life,” wrote study lead Eva Katsoulakis, MD (above), clinical informaticist and radiation oncologist at Tampa General Hospital in Florida, et al, in a review article she and her team published in NPJ Digital Medicine. Clinical laboratory test data will be a key element in the creation of a patient’s digital twin. (Photo copyright: Tampa General Hospital.)
Development of Digital Twins
Something akin to digital twins was first used in 1960 at NASA when replicas of spacecrafts currently on a mission in space were duplicated and studied on Earth. In 1991, Michael Grieves introduced the concept to manufacturing while at University of Michigan’s College of Engineering. The technology was later coined “digital twins” by John Vickers, a principal technologist in advanced manufacturing at NASA in 2010, IBM noted.
The increased use of digital twins in healthcare has brought some brilliant advancements. Examples, as reported by Computer Weekly, include:
- Surgery and treatment: Boston Children’s Hospital uses digital twins to examine the complexities of heart procedures in reference to oxygen, blood flow, and valve pressure. Real-time analysis helps with surgeries and treatments, allowing clear visualization at all angles.
- Metabolic analysis to tackle kidney failures: Digital twins are being used in Singapore to “Replicate metabolic fluxes to predict chronic kidney disease in type 2 diabetes mellitus.” Doctors there hope to curb the spike of chronic kidney disease found in type 2 diabetes mellitus. Their country has seen cases double in the last 40 years.
- Bacterial predictions, E. coli: Bacteria behavior is being analyzed in computational simulations as part of a Simulating Microbial Systems (SMS) program. Run by the US Defense Advanced Research Projects Agency, the “SMS seeks interdisciplinary, comprehensive, and integrated workflows to generate unknown parameters from new data to inform computational models that can predict E. coli.”
- Full body data: Precisely personalized care is the goal of European Virtual Human Twins Initiative, a project from the European Commission. The group creates digital twins and updates them with an individual’s personal conditions and health information that shifts as they age, keeping prevention as a focal point.
- Respiratory viral pathogens: The complexities and variety of causes behind respiratory infections makes it an ideal area for digital twins. Its use in hospital ICUs can help doctors consider pneumonia treatment outlooks and develop plans for spread of infection.
- Pharmaceuticals: Many pharma companies are opting to use digital twins since drug development is highly expensive and animal testing does not always provide clear data compared to human testing. Examples include Orion Pharma, which paired with AstraZeneca and Bayer to create digital twins that “capture genetic and molecular interactions that causally drive clinical and physiological outcomes.” Immunology company, Sanofi, also is using digital twins as “an essential first step to improve efficacy and safety.”
Future of Digital Twins in Healthcare
While digital twin development within healthcare is still in early stages, it promises to pioneer much change.
“When you have this model, you can personalize with certain features, certain anatomy, then you can try things. In heart surgery, you can’t try 20 different things, you only have one shot,” Ellen Kuhl PhD, professor of engineering and bioengineering at Stanford University, told Computer Weekly.
As technology advances and personalized healthcare continues to trend, it is likely digital twins will have a long-term place in medical practices. Astute clinical laboratory professionals will watch the expansion of this trend, since lab data will play such a key role in its development.
—Kristin Althea O’Connor
Related Information:
Digital Twins Extend to Biological Systems
Digital Twins for Health: A Scoping Review