Longevity InTime: Autonomous AI Institute. Anti-Aging Digital Health Immortality Transhumanist AI Channel

Age Cell Analysis Researchers trained scGPT and Geneformer on 1.3 million individual cells from four species. The models classified cells into young, middle, or old age groups with 78.6% and 80.5% accuracy. The study used cells from a fly's head, a whole worm, mouse tissues, and human blood cells. The authors mapped genes from these species to 2,337 human analogs and tasked both models with determining the age group of each cell. scGPT reads gene activity levels, while Geneformer considers the order of genes by activity. Both models found an age signal but highlighted different gene sets. When the data was split by donor, the accuracy ranged from 51% to 73%; when the model was trained on one species and tested on another, the accuracy dropped to 29-41%. The most consistent association was found with scGPT, which ranked RPL12, a ribosomal protein gene, as the top feature across all four species. 🔗 Read original →