A recent study has highlighted a significant health issue in urban India: one-third of urban Indians suffer from metabolic syndrome, a condition particularly prevalent among women. This syndrome, characterized by high blood sugar, unhealthy cholesterol levels, high blood pressure, and excess abdominal fat, notably raises the risk of type-2 diabetes and cardiovascular diseases.
Dr. Ashok Kumar Jhingan, a prominent endocrinologist and Senior Director at BLK Max Super Speciality Hospital in New Delhi, emphasized the need for personalized care in managing metabolic disruptions, which can lead to various diseases, including diabetes and hypertension. He pointed out that traditional doctor-patient interactions often fail to provide the necessary level of personalized care for these chronic conditions. Regular monitoring and counseling on diet and lifestyle are crucial but must be affordable and user-friendly to be effective on a larger scale.
The Whole Body Digital Twin offers a solution by creating a dynamic digital representation of an individual’s metabolism using over 3000 data points from non-invasive sensors, blood parameters, and personal preferences. This technology, combined with machine learning, identifies cause-and-effect relationships, predicts future metabolic states, and provides personalized health recommendations.
Dr. Jhingan noted that digital twins offer continuous access to personalized health data, allowing patients to actively participate in their healthcare. This approach facilitates tailored health learning and tracking, empowering patients to collaborate with their doctors for optimal health outcomes.
Dr. Shambo Samrat Samajdar highlighted the urgent need for preventive measures given the high prevalence of metabolic syndrome among urban Indian women. He stated that digital twins could revolutionize healthcare by enabling early detection of risk factors and providing personalized health insights. This technology can help individuals manage their condition more effectively, promoting proactive lifestyle changes and reducing the burden of chronic diseases like diabetes and heart disease on both individuals and the healthcare system.
Twin Health, a leader in this technology, goes beyond symptom management or weight loss programs. It addresses the root causes of metabolic conditions using AI and machine learning to offer personalized solutions that consider both physical and mental well-being. The program includes interventions like stress management, cognitive behavioral therapy, and dietary guidance, recognizing their crucial role in preventing and managing metabolic diseases.
As reported by Economic Times, this holistic approach helps users achieve long-term health goals with personalized recommendations and real-time insights, moving away from unsustainable diets and excessive medications. Instead, Twin Health empowers individuals to take control of their health and embark on a transformative journey towards increased energy, weight loss, and overall well-being.