calcutta: A team of experts from Kolkata and technological institutes in tamil nadu has developed a model based on health parameters to predict the possible appearance of type II diabetes.
It can teach people about the potential risks of diabetes and help them with suggestions for preventative measures that can save lives, say experts who have applied for a patent.
The findings from the model, which is planned to be developed into an app, may give doctors enough time to issue an early warning to those targeting the condition, which often goes unnoticed and becomes a silent killer.
The model will be fed into software and will use artificial intelligence to arrive at a patient’s degree of risk of contracting diabetes. For someone who already has diabetes, it can calculate the risk emanating from a co-morbidity, such as chronic kidney disease, heart disease, liver disease, and even COVID, using ‘augmented intelligence’.
“Factors, such as body mass index (BMI), diet pattern, blood sugar count, hemoglobin, work hours, sugar intake, and medication, including drugs that can increase blood sugar in the blood, like steroids, will need to be shared to discover the risk factor. .
The software, which will be developed into an application after we receive the patent, will take into account the inputs and generate a risk percentage factor,” said Peerless Hospital clinical research director Subhrojyoti Bhowmik, a member of the team. It is expected to be commercially available after the patent is granted in May.
The model has been developed, based on data from 10,000 patients across India. Bhowmick added that the model would help both patients, who were headed for diabetes but unaware of their health status, and doctors, who would have a clear picture of patients’ risks.
“A specific warning can be issued, based on data analysis, that will alert patients. Now, doctors issue a general warning. Patients rarely pay attention to it or make lifestyle changes,” Bhowmick said.
In addition to Bhowmick, the research team includes M Swathy, assistant professor at KPR Institute of Engineering and TechnologyTamil Nadu, T Venkatbabu, Assistant Professor, Satyabhama Institute of Science and Technology, Chennai, V Kannan, Managing Director, CLDC Research & Development, Coimbatore and Debanshu Chatterjee, Dean of Research and Development, Swami Vivekananda Institute of Modern Science, Kolkata.
The idea for the model germinated during the pandemic, when thousands of diabetic patients who contracted COVID found it difficult to cope. “We forged a collaboration between doctors and technicians to develop a model to predict the exact risk that COVID patients had from their existing diabetes.
So we came up with a model that would help predict the onset of the disease and also the degree of risk it poses to someone with a serious illness, like COVID or kidney failure,” said Chatterjee, who is now developing the app.
Specific diabetes risk factor assignment will lead more patients to take preventative measures than general advice, said Joydeep, a consultant internal medicine at Fortis Hospital. ghosh. “This will also lead many to have regular blood sugar tests and other related health checks that are rarely done,” Ghosh added.
