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Computational biology utilizes ML to parse cell transcriptomics, proteomics, & epigenetic data. AI algorithms can analyze simultaneous breakdown of genetic regulatory networks across aging tissues, identifying the exact biochemical tipping point where a cell shifts to irreversible senescence. 5/7
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ML interatomic potentials allow scientists to bridge quantum & classical mechanics. By training neural network potentials on quantum-accurate data, we can simulate interacting atoms at solid interfaces, calculating friction coefficients & wear rates directly rather than relying on empirical testing.