Without standardized, strain-level analysis, and clinically meaningful benchmarks, microbiome science will struggle to move from research into routine care.
Explore how a needs-driven approach to electronic laboratory notebook selection can improve data integrity, reproducibility, and scientific continuity.
By combining human-derived data with AI-driven discovery, the partnership seeks to tackle Parkinson’s disease heterogeneity and improve target selection.
Enzymes once viewed as rigid specialists are now being repurposed as modular tools, revealing latent chemical capabilities and enabling new approaches to molecule construction.