A team from the Bangladesh University of Engineering and Technology (BUET) has won first place at the 2025 Johns Hopkins Healthcare Design Competition for their innovative NeoScreenix, a Smart AI System for Early Breast Cancer Screening. The team’s breakthrough technology was recognized for its potential to provide early, accessible breast cancer detection, particularly in low-resource settings.
The competition, sponsored by Johnson & Johnson, attracted global participation, with BUET being the only university to have two finalist teams. The NeoScreenix team, consisting of five computer science and engineering students, impressed judges with their AI-based solution and took home a prize of $5,000. The winning team members were Fahmida Naznin (Project Designer), M.H. Sadman Tabib (ML Developer), Md. Hasain Adil (Frontend), Sadatul Islam (Backend), and Prithu Anan (Hardware).
The competition featured 440 proposals, with the top 8 teams from each track invited to pitch in the final round. In addition to the first-place prize, other winners included Team Ecoassist from Pontificia Universidad Catolica del Peru, who secured second place for their Deep Learning project on kidney and liver segmentation, and Johns Hopkins University’s Kujali, an AI-driven decision-support tool for labor care, which earned third place.
The NeoScreenix team plans to use their $5,000 prize to further their research and expand access to this life-saving technology across Bangladesh.
