Ramon Casanova, PhD

Research Interests

Magnetic Resonance Imaging

Artificial Intelligence

Alzheimer's Disease

Diabetes Mellitus, Type 2

Machine Learning

Neurological Diseases and Aging

About Me

I am a professor in the Department of Biostatistics and Data Science at Wake Forest University School of Medicine.

Modern biomedical research generates large volumes of heterogenous information, which poses difficult analytical challenges. My main area of research is the application of machine learning and artificial intelligence methods to the analyses of high-dimensional data. Examples of domains of applications related to my research include brain disease and aging, diabetes, women’s health, neuroimaging, omics, biomarker development, disease early risk assessment, combination of data from different sources, predictive modeling and accelerometry, among others.

I have been involved in multiple NIH-funded projects, and I am an associate editor for the Journal of Alzheimer’s Disease and Frontiers in Aging Neuroscience. Additionally, I am a reviewer for multiple funding agencies and international journals.

I hold memberships in the Alzheimer's Association and the Gerontology Society of America.

In addition to my role in the Department of Biostatistics and Data Science, I am also affiliated with the Sticht Center for Healthy Aging and Alzheimer’s Prevention, Women in Science and Medicine, the Center for Addiction Research and the Center on Diabetes, Obesity and Metabolism.

I received my doctorate at Aveiro University in Portugal.

Research

Publications

Proteomic analysis of APOEe4 carriers implicates lipid metabolism, complement and lymphocyte signaling in cognitive resilience. Walker KA, An Y, Moghekar A, Moaddel R, Duggan MR, Peng Z, Tian Q, Pilling LC, Drouin SM, Espeland MA, Rapp SR, Hayden KM, Shadyab AH, Casanova R, Thambisetty M, Rapp PR, Kapogiannis D, Ferrucci L, Resnick SM. Mol Neurodegener. 2024 Oct; 19(1):81.
Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, Jaeger BC, Gu CC, Kooperberg C, Levy D, Lloyd-Jones D, Choi E, Brody JA, Smith JA, Rotter JI, Moll M, Fornage M, Simon N, Castaldi P, Casanova R, Chung RH, Kaplan R, Loos RJF, Kardia SLR, Rich SS, Redline S, Kelly T, O'Connor T, Zhao W, Kim W, Guo X, Ida Chen YD, Sofer T. Sci Rep. 2024 May; 14(1):12436.
Relationships of depression and antidepressant use with epigenetic age acceleration and all-cause mortality among postmenopausal women. Beydoun MA, Beydoun HA, Ashe J, Georgescu MF, Horvath S, Lu A, Zannas AS, Shadyab AH, Jung SY, Wassertheil-Smoller S, Casanova R, Zonderman AB, Brunner RL. Aging (Albany NY). 2024 May; 16(10):8446-8471.
Deep phenotyping of dementia in a multi-ethnic cardiovascular cohort: The Multi-Ethnic Study of Atherosclerosis (MESA). Ostovaneh MR, Hughes TM, Wu CO, McClelland RL, Casanova R, Bluemke DA, Tracy RP, Shea S, Heckbert SR, Lima JAC, Ambale-Venkatesh B. PLoS One. 2024; 19(4):e0298952.
20-year depressive symptoms, dementia, and structural neuropathology in older women. Petkus AJ, Wang X, Younan D, Salminen LE, Resnick SM, Rapp SR, Espeland MA, Gatz M, Widaman KF, Casanova R, Chui H, Barnard RT, Gaussoin SA, Goveas JS, Hayden KM, Henderson VW, Sachs BC, Saldana S, Shadyab AH, Shumaker SA, Chen JC. Alzheimers Dement. 2024 Apr;

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Research Focus Areas

Translation to Care

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Ramon Casanova, PhD

Research Interests

About Me