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The developed IFN-NE can be a promising candidate to overcome the low oral bioavailability of IFN

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First, it protects semaglutide from being broken down too quickly by enzymes

To address this problem, we propose that existing experimental data can be used to train machine learning (ML) models that are able to extrapolate in sequence space to accurately predict the activity of novel multi-specific peptide analogues

The research group posited that GlyNACs effects stemmed from mitigating several hallmarks of aging, including oxidative stress, inflammation, and mitochondria