This avant garde concept secured a win at the iF Design Award 2023 for it's exceptional user experience.

The ineffectiveness of standardized and approved medications on patients is a cause of concern globally.

Percentage of patients on whom medication is ineffective

70% with Alzheimer’s disease

50% with Arthritis

40% with Cardiac arrhythmia

Source: US Food and Drug Administration (FDA)

Furthermore, the percentage of patients for whom medications are ineffective ranges from 38-75% for varying conditions from depression to osteoporosis. 

The main cause behind drugs being ineffective is the very specific genetic makeup of every individual. The latter is so different and their interaction so unique that therapies for an average patient may not be well-suited to the actual patient – not to mention how drug testing is not representative.

Global researchers and healthcare practitioners have realized the power of digital twins to boost precision medicine - an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person to maximize efficacy and efficiency. 

A digital twin is a virtual model or simulation of any object, process, or system that is created using real-world data to learn more about its real-world counterpart. In the healthcare metaverse, the patient’s digital twin is the patient themself.

Screen 1

The module captures continuous data from an individual patient about various vitals, medical conditions, and healthcare history to create a digital twin.

Screen 2

It runs an ML algorithm that suggests the best treatment options for trial on the digital twin.

Screen 3

The system leverages the gathered data and runs trials on the digital twin to determine the right therapy and predict the outcome of a specific procedure.

Screen 4

It comes up with a comparative analysis of the best possible treatment and suggests an optimally effective solution based on precision medicine.

Potential Impact

• With clinical evidence and real-world data, this digital twin module is designed to create simulations of new treatments and bring lifesaving innovations at a 24% faster rate. 

• In the coming future, digital twin simulation software could be used to analyze the progression of neurogenerative ailments such as Alzheimer’s and Parkinson’s, better understand treatment options and accelerate trial timelines.