Disputed
AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins
Other
medRxiv
A computer model suggests that combining four existing drugs differently might slow aging better than current uses, but human testing is needed.
Quantitative systems pharmacology model proposes that rapamycin drives repair-related aging outcomes mechanistically distinct from metabolic pathways, suggesting multi-objective optimization required for healthspan extension beyond glycemic/weight endpoints.
Researchers built a computer simulation of how aging works in the body and tested which combination of four existing drugs (semaglutide, SGLT2 inhibitors, metformin, and rapamycin) might slow aging most effectively. The model suggests that …
medrxiv (preprint)