Identification of Nadi patterns in individuals with defferent glycemic profiles using AI based technology and their validation for mass screening of T2DM

The conventional method for diagnosing diabetes is based on blood tests such as serum blood glucose and glycosylated haemoglobin (HbA1c) levels, which is invasive, time consuming and pain-inducing. Atreya Innovations Pvt. Ltd., a Niti Ayog Start-up Grant awardee has developed Nadi Tarangini for assessment of Nadi patterns. Nadi examination is an integral method for prediction and prognosis of diseases in Ayurveda. The Start-up wants to implement Nadi Tarangini for the mass screening of Type 2 diabetes using Artificial Intelligence (AI) based technology. For which apart from Nadi captured through Nadi Tarangini, other examinations namely Jihwa Pariksha (Tongue Examination), Shabda Pariksha (Voice Examination), Drik PAriksha (Face Examination) which are part of Ashtavidha Pariksha or eight tools of examinations recommended by Ayurveda will be taken into account. In addition, it also considers assessment of Prikriti (constitution) of an individual and his/her diet and lifestyle which form important part of Ayurveda diagnosis.

The present study is therefore planned in two parts. In the first part, information pertaining to all the above mentioned parameters will be captured in individuals with known glycemic profile and will be correlated with HbA1c. In the second part, based on the patterns established, the technology will be used for community screening of diabetes. Further, using Pricipal Component Analysis, the essential parameters from the above list required to capture for reliable screening of diabetes will be identified and the AI based protocol will be standardized.