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.

Beihang University researchers unveil a new federated learning poisoning-attack mitigation strategy to cap accuracy losses under 1% on MNIST and under 4% on CIFAR-10, bolstering AI security and privacy in healthcare, autonomous vehicles, and finance.