Biomedical generative pre-trained based transformer language model for age-related disease target discovery

Published in Aging-US · View the paper (DOI)

Insilico Medicine has identified 9 potential dual-purpose targets against aging and 14 major age-related diseases using Microsoft BioGPT. The proposed genes include CCR5 and PTH, which have not been previously correlated to the aging process.

Biomedical generative pre-trained based transformer language model for age-related disease target discovery

Coverage from 2 institutions