Jacquelyn Roger

Feb 20, 2024 | nature.com | Alice S. Tang |Jacquelyn Roger |Sarah R. Woldemariam |Riley Bove |Nima Aghaeepour |Tomiko Oskotsky | +1 more

AbstractIdentification of Alzheimer’s disease (AD) onset risk can facilitate interventions before irreversible disease progression. We demonstrate that electronic health records from the University of California, San Francisco, followed by knowledge networks (for example, SPOKE) allow for (1) prediction of AD onset and (2) prioritization of biological hypotheses, and (3) contextualization of sex dimorphism.