Man Reverses Diabetes And Loses 18 Kg With Digital Twin: Here's How He Did It

Devlin Donaldson, CEO of a nonprofit, faced a life-altering event in 2018 when he suffered a stroke and was diagnosed with type 2 diabetes. Since then, he has successfully achieved remission from diabetes through a digital twin. Now, he's sharing his story.

Type 2 diabetes typically develops when the body becomes resistant to insulin or doesn't produce enough insulin to maintain normal blood sugar levels. Insulin, produced by the pancreas, regulates blood sugar levels in the body, facilitating glucose uptake by cells for energy and storage.

Digital app to the rescue of a diabetic

After being diagnosed with diabetes, Donaldson tried multiple medications and followed diet advice from a nutritionist, but his health didn't improve, and his blood sugar remained uncontrolled.

Frustrated with the cycle of prescriptions, he turned to a new solution: a 'digital twin' app.

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The app offers personalised advice on diet and exercise to improve his condition and reduce his reliance on medications.

Donaldson credits it with transforming his understanding of his body and the challenges he faced.

Three years later, his diabetes is in remission.

Type 2 diabetes typically develops when the body becomes resistant to insulin or doesn't produce enough insulin to maintain normal blood sugar levels.

Insulin, produced by the pancreas, regulates blood sugar levels in the body, facilitating glucose uptake by cells for energy and storage.

What is a digital twin?

A digital twin refers to a virtual representation or simulation of a patient's physiological characteristics, health status, and medical history.

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It is increasingly being used in healthcare to model patients' health status, predict treatment outcomes, and personalise care.

This digital replica is created using data collected from various sources, such as electronic health records, medical imaging, wearable devices, and genetic information. The digital twin can provide healthcare professionals with valuable insights into a patient's condition, allowing for personalised treatment planning, predictive analytics, and real-time monitoring of health parameters.

By leveraging advanced technologies like artificial intelligence and machine learning, digital twins have the potential to revolutionise healthcare by improving diagnostic accuracy, optimising treatment outcomes, and enhancing patient care.