Researchers led by Daeyoung Kim (Scientific Reports, 2025) offer a novel look at healthy aging by quantifying bending and pumping rates in C. elegans. Their study integrates lifespan data with muscle function metrics, showing that normalized movement indices serve as accurate biomarkers. This approach aids experimental comparisons and may guide future longevity research.

Schrödinger researchers reveal how high-throughput molecular simulations combined with machine learning predict key properties of chemical mixtures. Their work, demonstrated over 30,142 formulations, offers a practical example of how digital tools can refine formulation design and improve material performance.