Machine Learning
Interpretable AI and physics-informed neural networks for scientific discovery.
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1 min read
Interpretable AI and physics-informed neural networks for scientific discovery.
Developing next-generation deep learning models to predict protein structures with unprecedented accuracy, accelerating drug discovery and understanding biological mechanisms.
Leveraging AI and single-cell genomics to identify personalized treatment strategies for cancer patients, focusing on tumor heterogeneity and drug resistance mechanisms.