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Physics-Informed Neural Networks Incorporating Reaction-Diffusion Equations

Ai Biofabrication

Deep Learning for Tumor Spheroid Growth Prediction

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Ai Biofabrication › Deep Learning for Tumor Spheroid Growth Prediction

Physics-Informed Neural Networks Incorporating Reaction-Diffusion Equations

This investigation develops PINN architectures that embed fundamental reaction-diffusion physics and nutrient transport constraints directly into neural network loss functions for spheroid growth prediction. The academic contribution bridges data-driven learning with mechanistic biophysics, producing models that generalize across untested conditions and biological parameter ranges.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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