Tiny plankton have big impact on harmful algal bloom predictions
Peer-Reviewed Publication
Updates every hour. Last Updated: 13-Jun-2026 19:16 ET (13-Jun-2026 23:16 GMT/UTC)
As climate change intensifies harmful algal blooms worldwide, an international team led by Hiroshima University has developed a hybrid modeling approach that combines algal movement simulations, AI, and long-term monitoring data to sharpen forecasts of these bloom events—linked to environmental damage, mass fish die-offs, economic losses, and risks to human health.
https://www.scienceopen.com/hosted-document?doi=10.15212/AMM-2025-0094
Announcing a new publication for Acta Materia Medica journal.A new study using an advanced “digital twin” artificial intelligence model has found that factors such as loneliness, insomnia and poor mental health substantially raise a person’s future risk of developing type 2 diabetes.
Researchers from China developed the first high-density 10K SNP array for wax gourd using genotyping by target sequencing (GBTS) technology, comprising 10,722 genome-wide SNPs distributed across the genome, including 278 associated with functional trait loci.