A transformer called BioGPT, trained on aging-related data, including genes co-mentioned with “aging” in PubMed (normalized for prevalence), targets of drugs and compounds with anti-aging properties from various databases, and PubMed abstracts focused on age-associated diseases and risk factors, was used to identify two novel dual-purpose targets: CCR5 (linked to inflammation and AD) and PTH (PTH hormone serum levels elevate with age) ([48, 98, 99]. The gene discussed is PTH; the disease is Alzheimer disease.