Christian Medical College (CMC), Vellore and IIIT Hyderabad’s Language Technologies Research Centre (LTRC) have developed BandhuCare, a multi-lingual AI-powered patient engagement platform designed specifically for cancer care. Unlike consumer AI assistants, BandhuCare, instead of trawling through the internet, answers questions only from information carefully curated and verified by clinicians. While CMC provided domain expertise and anonymised medical data, IIIT-H developed machine translation technologies that could be refined using continuous feedback from clinicians. The project, supported by the National Cancer Grid and MeitY’s India AI initiative, has reached Technology Readiness Level 5, with ethics approvals in place for clinical pilot studies involving patients.

The International Institute of Information Technology Hyderabad (IIIT Hyderabad) celebrated its 25th convocation on Saturday, and graduated 526 students. IIIT-H is an autonomous research university that focuses on the core areas of Information Technology, such as Computer Science, Electronics and Communications, and their applications in other domains through inter-disciplinary research that has a greater social impact, according to official information. In a press release, the institute stated that “from its first convocation in 2002, when 49 students graduated from a campus with 496 students and 16 faculty members, IIIT Hyderabad has grown into one of India’s leading research universities”. It further said that today, the institute has 2,524 students, 114 faculty members, and an alumni network of over 8,200 graduates, reflecting nearly three decades of sustained growth in research, innovation and academic excellence.

Research on making 3D models lighter, improving how artificial intelligence understands videos, and preventing unauthorised 3D reconstruction from images featured among the papers presented by researchers from the International Institute of Information Technology, Hyderabad (IIIT-H) at the Computer Vision and Pattern Recognition (CVPR) 2026 conference and its workshops. Among the award-winning papers, Kunal Bhosikar’s “Fast and Robust Mesh Simplification for Generated and Real World 3-D Assets” was named Best Paper Runner-Up at a workshop on 3D geometry generation. The paper addresses a key challenge in 3D AI, where highly detailed models are often too heavy to store, render and process efficiently. The work proposes a mesh simplification technique that removes unnecessary triangles while preserving the model’s shape, curvature and texture, making 3D assets easier to use in areas such as medical imaging and virtual reality.