The “digital twin”… a new “revolution” in the treatment of diabetes

92% of patients using technology got rid of medication

Researchers and doctors from the United States of America and India have created an advanced technology that can help diabetics get off medication.
This technology creates a dynamic digital copy of a patient’s body and extracts information about people’s eating habits, with the goal of creating a virtual copy of each person’s metabolism.
Known as the Whole Body Digital Twin, the technology relies on thousands of data points collected from sources that include non-invasive, easily wearable sensors.
The clinical research team recently conducted the world’s first randomized controlled trial reversing chronic metabolic disease using dual digital technology, and the results included 92 percent of patients getting off diabetes medications.
Twin Health, the Indian-American company behind this technology, announced the results of trials on patients in India in November.
The company previously obtained a patent from the United States of America, and its scientific results have been approved and accepted by major bodies, such as the American Diabetes Association (ADA), the American Association of Clinical Endocrinology (AACE), and the International Diabetes Federation (IDF).

Root causes

“By combining the latest technology with advanced medical sciences, the technology we have developed addresses the root causes of metabolic diseases,” Paramesh Shamana, a physician and researcher at Twin Health, told Asharq Al-Awsat.
“This device is the first of its kind to use digital twin technology to understand each individual’s unique metabolic system, and to provide personalized recommendations for reversing, improving and preventing chronic metabolic diseases,” he explains, noting that “the most importantly, this technology not only focuses on key clinical criteria; it also focuses on individual preferences and social determinants to improve the program, to achieve sustainable and achievable results.”
He adds: “Through an easy-to-use app, patients and their care teams are provided with individualized and accurate guidance, on nutrition, sleep, activity and breathing data, to learn about their unique metabolism issues, and accordingly can healthcare providers access to structured vital signs data, and recommendations to reduce Medicines for their patients, and this leads to the reversal of chronic metabolic diseases, especially diabetes.

therapeutic revolution

By detecting chronic metabolic diseases, including diabetes, according to the researchers, the main causes of the disease are related to uncontrolled metabolic processes, which occur when external factors – including lifestyle, nutrition and stress – negatively affect biochemical reactions in the body, and can This leads to negative effects, leading to organ damage and chronic conditions.
While each person’s metabolism functions uniquely, which presents significant challenges for healthcare providers to understand and their ability to personalize treatment for individuals, the Digital Twin System addresses that complexity using the latest technology and advanced medical science. According to Shamana, who says, “Technology is revolutionizing healthcare. Traditional procedures for managing diabetes and other diseases related to poor metabolism have relied on collecting individual health data mostly at specific points in time, such as occasional doctor visits or Blood laboratories.

precise technology

The system is built from thousands of data points, many collected daily from sensors, as well as machine learning models, to determine cause-and-effect relationships, predict future metabolic states and recommend specific actions for each individual to improve their health, said Shamana.
The Whole Body Digital Twin is technologically complex. The data science team at Twin Health has developed patented machine learning models to predict various vital signs and recommend specific actions to improve those vital signs, according to Shamana.
Digital twin technology models use multiple machine learning features to accurately predict responses to focus each person on what is most important and unique to them.

Diabetes in the Middle East

According to Shamana, diabetes affects people all over the world, mainly due to unhealthy lifestyles and increased levels of risk factors. Although countries and regions are affected differently, the Middle East in general has seen a sharp rise in the prevalence of diabetes.
He points out that the Arabian Gulf region has seen a particularly marked and surprising increase in the incidence of diabetes. Kuwait, Saudi Arabia and Bahrain are now among the top ten countries with the highest prevalence of type 2 diabetes worldwide.
He adds that children in the Arab region and the Middle East region have also seen a significant increase in obesity and type 2 diabetes rates, and there is a need to take urgent measures to tackle this problem in the region. speak, with the aim of reducing and preventing new cases of diabetes and the complications that arise from it. He affirms, “Digital twin technology has proven to be radically different from the traditional phenotype common in diabetes treatment, and can be a great support for patients in the region to change their lives to make them happy and healthy.”

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