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Optical Reservoir Computing for Lung Tumor Movement Prediction in Radiation Therapy Applications
RPI ID: 2020-059-201 Innovation Summary: A recurrent neural network (RNN) architecture is developed to predict tumor movement during radiation therapy. The model uses time-series data from respiratory and anatomical signals to forecast tumor position in real time. It supports adaptive radiation delivery and minimizes exposure to surrounding healthy...
Published: 3/10/2026   |   Inventor(s): Alex Hollingsworth, Clare Thiem, Nathan McDonald, Zhizhuo Liang, Zhaoran Huang
Keywords(s): CT, machine-learning, motion prediction, radiation therapy, real-time, reservoir computing, tumor
Category(s): Biotechnology and the Life Sciences