A research team has developed a novel AI model, ILCD, and a supporting dataset, CDwPK-VQA, to help early diagnose crop diseases.

TripletDGC, an open-source GitHub toolkit, leverages single-cell RNA-seq to map nearly 10,000 disease-associated genes to their most impacted cell types—creating over 54,000 gene-disease-cell links to accelerate precision medicine and targeted drug discovery.

Researchers at Tsinghua University have unveiled a new Python toolkit for automated single-cell lineage tracing and analysis—featuring rapid barcode QC, clone-size metrics, dynamic Sankey visualizations and quantitative fate-diversity indicators—to accelerate breakthroughs in regenerative medicine and cancer therapy.

Researchers at the National University of Defense Technology and Shanghai Jiao Tong University introduce a symmetry-aware neural network architecture that slashes multi-agent reinforcement learning training time by up to 70%, doubles predator–prey task performance, and boosts sample-efficient coordination for autonomous traffic control, cooperative robotics, and power-grid management.