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New ML models may be most useful if they predict viscosity in a formulation-dependent way, allowing for in-silico screening of formulation compositions

J Neurovirol 11:356364 Shah A, Gangwani MR, Chaudhari NS, Glazyrin A, Bhat HK, Kumar A (2016) Neurotoxicity in the Post-HAART era: caution for the Antiretroviral therapeutics

By integrating multi-omics data with artificial intelligence models, it aims to construct individualized CAC risk prediction profiles, thereby enabling tailored intervention strategies based on each patients unique microbial features and metabolic phenotype