Researchers use machine learning to improve gene therapy
Peer-Reviewed Publication
Updates every hour. Last Updated: 16-Aug-2025 11:11 ET (16-Aug-2025 15:11 GMT/UTC)
A research team has successfully assembled the first high-quality, chromosome-level genome of published findings reveal how specific genes and hormone regulatory networks drive the plant’s exceptional growth rate and stress tolerance, offering insights into its invasive nature, opening new avenues for sweet potato crop improvement.
Statisticians from the National University of Singapore (NUS) have developed a pioneering approach for analysing population-scale metabolomic data, marking a major advancement in the precision and depth of metabolic profiling. This new method promises to improve both personalised healthcare and preventive medicine by improving the accuracy and interpretability of metabolic analyses.
A research team sheds light on the intricate regulatory mechanisms governing anthocyanin biosynthesis in horticultural plants, offering insights that could enhance plant traits and agricultural productivity.