Researchers from Genentech Propose A Deep Learning Methodology to Discover a Predictive Tumor Dynamic Model from Longitudinal Clinical Data

Researchers from Genentech introduced tumor dynamic neural-ODE (TDNODE) as a pharmacology-informed neural network for enhancing tumor dynamic modeling in oncology drug development. Overcoming the limitations of existing models, TDNODE allows unbiased predictions from truncated data. Its encoder-decoder architecture expresses an underlying dynamical law with generalized homogeneity, representing kinetic rate metrics with inverse time as the […]

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ai shorts applications architecture artificial intelligence clinical data decoder deep learning development drug development dynamic editors pick encoder encoder-decoder genentech limitations machine learning methodology modeling network neural network oncology predictions predictive researchers staff tech news technology unbiased