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First-principles simulations can now accurately model biomolecular systems with over 100,000 atoms at a fraction of the cost.
GlaKG achieves near-perfect classification while providing a transparent reasoning framework that links biomarker evidence to clinical rules, addressing the black-box nature of traditional deep learning models in healthcare.
