Discover the first principles of neural networks and the causal pathophysiology of complex diseases by bridging deep learning and life science.

We specialize in the algorithmic analysis of cross-level, cross-species, and cross-area life science data to discover next-generation neural networks and cross-level aetiologies of all disease areas, towards rebuilding the foundation of mathematics, neuroscience, and medicine.

We apply the algorithmic insights of the next generation of neural networks to replacing the inefficient blind-men-and-an-elephant-style data-driven approach to drug discovery with an efficient solving-a-billion-piece-puzzle-style hypothesis-driven approach, making meticulous and audacious strides towards reversing and curing diseases of great unmet needs.

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