Machine learning-based prediction of cross-immunity
Applying a consensus function can capture the biological complexity of cross-reactivity at the binary classification level, even when applied to relatively small datasets.
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Applying a consensus function can capture the biological complexity of cross-reactivity at the binary classification level, even when applied to relatively small datasets.
Bacteriophage exposure drives phenotypic and molecular adaptation in MRSA and may create evolutionary trade-offs that weaken resistance mechanisms, support the potential of bacteriophages as both direct antibacterial agents and modulators of antibiotic susceptibility.
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