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Stanford Aging and Ethnogeriatrics Research Center (SAGE Center)

Stanford Aging and Ethnogeriatrics Research Center (SAGE Center)

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SAGE awardees

Kacie Deters, PhD

Assistant Professor, Department of Integrative Biology & Physiology, University of California, Los Angeles

https://deterslab.ibp.ucla.edu/research/

Dr. Kacie Deters received her Ph.D. in Medical Neuroscience from Indiana University in 2017 using neuroimaging and genetics to characterize neural characteristics of tauopathies, including Alzheimer’s disease (AD). As a postdoc at Stanford University, she became a RCMAR Scientist awardee where she examined ethnic and racial disparities in Alzheimer’s disease biomarkers. She expanded her training at the University of California, San Diego to understand racial bias that exists in neuropsychological assessments. She completed a postdoc at Stanford where her primary research interests are studying ethnic/racial disparities of AD specific risk factors on cognitive performance in older adults.

Dr. Deters was appointed to a tenure-track Assistant Professor position at UCLA in 2022 where she is investigating the intersection and contributions of genetics and social/environmental factors to cognitive decline and Alzheimer’s disease using genetics, neuroimaging, neuropsychological assessments, and fluid-based biomarkers. In August 2022, she was accepted to the prestigious NIH/NIA Butler Williams Scholars Program and the NIH/NIMHD Health Disparities Research Institute Scholars Program. She also serves on the RCMAR Scientist Advisory Board.

SAGE Project: APOE, neuropathology, and cognitive decline in Blacks

Decline in cognitive function can be detected years before Alzheimer’s disease (AD) symptoms become noticeable. However, most studies have focused on non-Hispanic Whites, representing a significant gap in knowledge. Although some variation is observed, many studies suggest several racial disparities in aging and dementia risk factors exist between non-Hispanic Blacks and Whites. For example, APOE4 is the largest genetic risk factor for AD in non-Hispanic Whites, yet the effect on AD risk is reduced in non-Hispanic Blacks. The goal of this study was to understand how race and genetic ancestry impact the association of AD genetic risk factors and neuropathology on cognitive decline. This work was published in Neurology (PMID: 33568538).

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    Next-Generation Artificial Intelligence for Diagnosis: From Predicting Diagnostic Labels to "Wayfinding"

    Julia Adler-Milstein, PhD1; Jonathan H. Chen, MD, PhD; Gurpreet Dhaliwal, MD

    Improving the diagnostic process is a quality and safety priority.With the digitization of health records and rapid expansion of health data, the cognitive demand on the diagnostician has increased. The use of artificial intelligence (AI) to assist human cognition has the potential to reduce this demand and associated diagnostic errors. However, current AI tools have not realized this potential, due in part to the long-standing focus of these tools on predicting final diagnostic labels instead of helping clinicians navigate the dynamic refinement process of diagnosis. This Viewpoint highlights the importance of shifting the role of diagnostic AI from predicting labels to “wayfinding” (interpreting context and providing cues that guide the diagnostician).