AI Predicts Cell Nucleus Position for Biomedical Advancement
SUTD Researchers Unravel Cell Biology Through Artificial Intelligence
Tags: Singapore University of Technology and Design, Singapore, Healthcare & Lifesciences, Computing Technology
SUTD researchers, in collaboration with NUS and NTU, developed an AI-driven approach to uncover the relationship between cytoskeleton organization and nuclear positioning in cells. Using a deep generative network, they bypassed human-defined parameters, allowing the AI to predict nucleus locations solely from fiber arrangements, demonstrating a deterministic relationship between the two. This technology can be applied to understand cell biology in health and disease, advancing biomedical research. By interpreting complex biological systems without human constraints, the approach enables more accurate insights into cell behavior. The study achieved high accuracy, with many predictions deviating less than 1 μm from actual positions.
IP Type or Form Factor: Software & Algorithm
TRL: 3 - proof of concept with needs validated
Industry or Tech Area: Biotechnology; Big Data Analytics & Simulations
