Madras Diabetes Research Foundation to use AI and data science to improve treatment modalities for diabetes
10 months ago

Madras Diabetes Research Foundation to use AI and data science to improve treatment modalities for diabetes

The Hindu  

The Madras Diabetes Research Foundation will use artificial intelligence, data science, and machine learning to improve treatment modalities for diabetes. MDRF Chairman V. Mohan said on Thursday that the institution would rely on the data collected from those using continuous glucose monitoring patches that could provide more insights as they track glucose variations through the day. The data will be used to look for patterns that could help doctors improve treatment protocols and predict the complications that may occur,” Dr. Mohan said. Dr. Mohan drew parallels to the human genome research and later the use of non-hypothesis based approach in genetics to study diabetes, which helped identify key genes and pathways, which had been missed earlier.

Data Diabetes Foundation Mohan Ai Cgm  glucose  modalities  improve  foundation  mohan  systems  sugar  used  mdrf  data  research  ai  diabetes  predict  science  madras  treatment

History of this topic

NIT Rourkela develops an AI-powered model to improve diabetes management
1 month ago

NIT Rourkela develops an AI-powered model to improve diabetes management

Hindustan Times  

A research team at the National Institute of Technology Rourkela, led by Prof Mirza Khalid Baig, Assistant Professor, Biotechnology and Medical Engineering, developed a new AI-driven approach to improve blood sugar predictions for people with diabetes. As per the institute, the research presents a machine-learning model that enhances the accuracy of blood glucose level prediction, helping individuals and healthcare providers …

India sets up its first diabetes biobank in Chennai
3 months, 1 week ago

India sets up its first diabetes biobank in Chennai

India Today  

India has established its first biobank for diabetes in Chennai. This biobank, located at MDRF, aims to collect, store, and distribute biological samples to support advanced scientific research on diabetes in India. It will provide a platform for researchers to study various types of diabetes, including type 1, type 2, and gestational diabetes, said Dr. V Mohan, chairman of MDRF …

Early Diab EDI: Revolutionary Device Set to Transform Type 2 Diabetes Detection
4 months, 1 week ago

Early Diab EDI: Revolutionary Device Set to Transform Type 2 Diabetes Detection

Deccan Chronicle  

Manoj Chowdary Vattikuti, Sr. DevOps Engineer and Research Scientist at Cardinal Health, along with Niharikareddy Meenigea, Sr. Data Analyst and Research Scientist at Virginia International University, have introduced a groundbreaking new device—Early Diab EDI—designed to predict Type 2 Diabetes Mellitus at its earliest stages using advanced machine learning techniques. By leveraging large datasets, including electronic health records, the Early Diab …

AI, Big Data, Wearable Devices, Latest Drugs & More: Treatment of Diabetes in India is Ready for a Makeover
2 years, 4 months ago

AI, Big Data, Wearable Devices, Latest Drugs & More: Treatment of Diabetes in India is Ready for a Makeover

News 18  

Insulin pens, glucose monitors, automated insulin delivery stickers, the latest medicines, fitness trackers, and more — your worries about managing diabetes wisely may soon have more answers. According to Dr Rajesh Rajput, former head, department of endocrinology, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak: “Modern diabetic medications can now tackle diabetes-related illnesses much more effectively and …

Artificial Intelligence to predict future diabetes cases with 94 per cent accuracy
4 years, 11 months ago

Artificial Intelligence to predict future diabetes cases with 94 per cent accuracy

India TV News  

Researchers have revealed that with the help of artificial intelligence their trained computer model predicted the future incidence of diabetes with an overall accuracy of 94.9 per cent. "Using machine learning, it could be possible to precisely identify high-risk groups of future diabetes patients better than using existing risk scores," Nomura added. For the findings, published in the Journal of …

Discover Related