Rhoda Au
Profiles

Rhoda Au, PhD

Professor, Epidemiology - Boston University School of Public Health

(617) 358-0089
rhodaau@bu.edu
Talbot
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Biography

Dr. Au’s research interests are focused on aging and dementia, and include relating cardiovascular risk factors, brain MRI measures, and neuropathology to cognitive performance. She is also interested in merging research and technology as the path toward innovative science.

Other Positions

  • Professor, Anatomy & Neurobiology - Boston University Chobanian & Avedisian School of Medicine
  • Investigator - Framingham Heart Study
  • Member, Evans Center for Interdisciplinary Biomedical Research - Boston University
  • Graduate Medical Sciences Educator and Mentor (Primary Mentor of Graduate Students) - Boston University Chobanian & Avedisian School of Medicine, Graduate Medical Sciences
  • Professor, Medicine - Boston University Chobanian & Avedisian School of Medicine

Education

  • University of California, Riverside, PhD Field of Study: Psychology
  • Boston University, MBA Field of Study: Policy Analysis and Management
  • Pomona College, BA Field of Study: Psychology

Websites

Publications

  • Published on 6/22/2026

    Hu J, Lu S, Zhang Q, Qian K, Rehman H, Zhu C, Farrell J, Castrillon-Candas JE, Au R, Farrer LA, Qiu WQ, Chen J, Zhang X. Alzheimer's disease risk prediction from clinical and social determinants of health: a machine learning cohort study in UK Biobank. BMJ Health Care Inform. 2026 Jun 22; 33(1). PMID: 42331506.

     Read At: PubMed
  • Published on 6/16/2026

    Marino FR, Kim M, Hwang PH, Tripodis Y, Alosco M, Mez J, McKee A, Au R, Thomas RJ, Shih L. Impact of Sleep Quality on Gait Variability: Pilot Cohort Study. JMIR Aging. 2026 Jun 16; 9:e81630. PMID: 42302301.

     Read At: PubMed
  • Published on 5/29/2026

    Wilson S, Beswick E, Popp Z, Rahman S, Bhogal S, Whitfield T, Low S, Khan R, Tolley C, Walker Z, Au R, Slight SP. Acceptability of Technologies to Support Early Dementia Detection: Qualitative Study With the Boston University Alzheimer's Disease Center Cohort. J Med Internet Res. 2026 May 29; 28:e84004. PMID: 42213912.

     Read At: PubMed
  • Published on 5/1/2026

    Tao Q, Han J, Ang TFA, Hou L, Liu C, Murabito JM, Lunetta KL, Mez J, Alosco ML, Stein TD, Zhang X, Au R, Farrer L, Palmisano JN, Hamburg NM, Qiu WQ. Peripheral vascular function, including endothelium-dependent measures, and dementia risk: The Framingham Heart Study. Alzheimers Dement. 2026 May; 22(5):e71396. PMID: 42050369.

     Read At: PubMed
  • Published on 4/30/2026

    Jain SS, Ang TFA, Sunderaraman P, Au R, Chen J. Gender differences in informal caregiving costs and burden in Alzheimer disease: a multinational cross-sectional analysis. BMC Public Health. 2026 Apr 30; 26(1). PMID: 42063002.

     Read At: PubMed
  • Published on 4/29/2026

    Au R, Gifford KA, Paschalidis IC, Wighton P, Levin M, Imam F, Bose N, Pratap A. The myth of digital biomarkers in Alzheimer's disease: how to make them a reality. Curr Opin Psychiatry. 2026 Jul 01; 39(4):331-338. PMID: 42083983.

     Read At: PubMed
  • Published on 4/14/2026

    Frank B, Gurnani A, Hurley L, Guan C, Andersen SL, Devine SA, O'Connor MK, Budson A, Liu C, Lin H, Auerbach S, Liu Y, Libon DJ, Price CC, Farrer L, Mez J, Ang A, Au R. Psychometric modeling of Boston process approach data for dementia prediction in the Framingham Heart Study. J Int Neuropsychol Soc. 2026 Mar; 32(3):243-254. PMID: 41975557.

     Read At: PubMed
  • Published on 4/8/2026

    Marino FR, Ganglberger W, Sun H, Liu Y, Ding H, Thomas RJ, Au R, Westover B. Better Sleep Now, Better Cognition Later? Predicting Cognitive Function Using A Machine Learning-Based Sleep EEG Brain Health Score. Sleep. 2026 Apr 08. PMID: 41964500.

     Read At: PubMed
  • Published on 4/7/2026

    Dookhy J, Cummings M, Price E, Liu Y, Gutierrez-Gomez S, O'Shea S, Frank S, Au R, Gurnani AS, Ang TFA, Mez J, Shih LC. Dementia Incidence in Individuals With Parkinson's Disease in the Framingham Heart Study. Ann Clin Transl Neurol. 2026 Apr 07. PMID: 41944089.

     Read At: PubMed
  • Published on 4/4/2026

    Lteif D, Jia S, Bit S, Kaliaev A, Mian AZ, Small JE, Mangaleswaran B, Plummer BA, Bargal SA, Au R, Kolachalama VB. Vision-language framework for multi-sequence brain magnetic resonance imaging. medRxiv. 2026 Apr 04. PMID: 41959770.

     Read At: PubMed

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