What if healthcare could spot the warning signs before they become alarms?
That question is at the heart of a groundbreaking research contribution by Saptaparni Roy Chowdhury, Faculty Member, Brainware University.
Her work presents an AI-powered remote healthcare approach that brings together Digital Twin Modelling and Graph Neural Networks to identify potential health risks early and support timely intervention.
And the result?
~93% prediction accuracy.
Because the future of healthcare isn’t only about treating illness.
It’s about seeing the signs sooner. Acting smarter. Saving time when it matters most.
The research was presented at ICAECT 2026 – 6th International Conference on Advances in Electrical Computing, Communications and Sustainable Technologies.
From the classroom to cutting-edge research, our faculty are pushing the boundaries of what technology can do for real-world challenges.
Heartiest Congratulations, Ms. Saptaparni Roy Chowdhury!