Researchers from Gladstone Institutes and NVIDIA have unveiled MaxToki, an innovative AI model designed to forecast cellular changes over extended periods. This model has been developed using data from more than 170 million cells, encompassing individuals from infancy to old age. By assessing the current condition of a cell, MaxToki can simulate its future trajectory, predicting potential breakdowns or retracing its path to identify disease origins.
A significant advancement of this model lies in its ability to quantify the impact of diseases and lifestyle choices on the aging process. By contrasting patient-derived cells with a healthy baseline, the model revealed that pulmonary fibrosis can age tissues by approximately 15 years, while smoking contributes an additional 5 years. Furthermore, Alzheimer's disease was shown to accelerate the aging of brain immune cells, specifically microglia, by around 3 years.
In laboratory settings, the model's findings regarding genes linked to heart aging were confirmed. Initial experiments conducted on human cells in vitro and subsequently on live mice demonstrated that activating two crucial "switch" genes, P4HA1 and RASGEF1B, in younger mice resulted in a rapid deterioration of heart function, mimicking that of older individuals within just 6 weeks. Researchers are currently exploring whether targeting these genes can reverse this aging process.
The implications of MaxToki and similar models are profound, potentially transforming years of medical research into rapid simulations where thousands of drug and genetic interventions can be tested in mere seconds.
Informational material. 18+.
