From
StayCurrentMD
Digital twinning technology and applications in personalized medicine
With Dr. Rami Shave · hosted by Dr. Tom Batch & Dr. Todd Bonski
Educational content from recorded physician discussions — not medical advice. Talk to your (or your child's) care team about your situation.
More about this diagnosis
ArrhythmiasVideo
Intestinal Atresia Types Explained: Grossfeld Classification for Pediatric Surgery
1 min · Published Sep 2026
Video
Derivation and validation of the Pediatric Community-Acquired Pneumonia Severity (PedCAPS) score: A prospective cohort study
50 s · Published Sep 2026
Video
FETO for Late-Diagnosed Severe Congenital Diaphragmatic Hernia (CDH) at Cincinnati Children's with Dr. Beth Rymeski
4 min · Published Sep 2026
Video
Severe Congenital Diaphragmatic Hernia (CDH) Case: FETO Management & Unexpected Findings with Dr. Beth Rymeski
3 min · Published Sep 2026
Video
Fetoscopic Endoluminal Tracheal Occlusion (FETO) Procedure: Step-by-Step Guide with Dr. Beth Rymeski
4 min · Published Sep 2026
Video
Choledochal Cyst Types Explained: Pediatric Surgery Fundamentals
1 min · Published Sep 2026
What the experts said
A digital twin is a virtual representation that serves as the real-time digital counterpart of a physical object or process.
The first practical definition of a digital twin originated from NASA in an attempt to improve physical model simulation of a spacecraft in 2010.
Digital twin technology uses machine learning and AI, and can be trained to behave like a specific entity while removing errors and unwanted elements, giving control over the digital twin's behavior.
Physical limitations that exist in the real world do not apply to digital twins in the virtual world, which are upgradable and extendable.
With the help of a digital twin, companies can test and validate a product before it even exists in the real world.
If a patient model is provided with data and trained with parameters that exactly match the real world, it will give similar results.
There will be a transition towards cheaper, more accessible, and easier to use digital twins, culminating in its democratization.
Digital twinning involves visual process requiring software to model an object that looks similar to the real life object, then feeding the system with data about that object.
Digital twin technology can be used to generate a virtual healthcare facility or a human body, creating an individual's genetic makeup, physiological characteristics and lifestyle habits.
AI helps in the design of digital twins to put together organs physiological data to output a 3D image, which can then be modeled to a specific patient from their specific parameters.
Digital twins of human hearts can model potassium overload which induces arrhythmias, helping to understand, predict, and avoid cardiac arrests.
Digital twins can model a heart restarting after surgery, showing imbalances of electrical signals going through the heart before an actual heart beat.
With a digital twin of a patient's heart and data from similar cases, doctors can predict the best possible outcome for the patient and simulate various options for a procedure to select the one with the optimal computer result.
The Swedish Digital Twin Consortium aims to develop a strategy for personalized medicine based on constructing unlimited copies of network models of all molecular phenotypical and environmental factors, treating those digital twins with thousands of drugs to identify the best performing drug, then treating the actual patient with this drug.
Healthcare planners, practitioners, and administrators already use digital twin technology to aid robotic surgery, accelerate precision medicine applications and manage inventories or complex supply chains.
Digital twinning with artificial intelligence is already supporting practicing doctors, improving healthcare access and lowering costs.