Biomedical informatics applications for precision management of neurodegenerative diseases

Alzheimer's and Dementia: Translational Research and Clinical Interventions - Tập 4 - Trang 357-365 - 2018
Justin B. Miller1, Guogen Shan2, Joseph Lombardo3, Gustavo Jimenez-Maggoria4
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA.
2Epidemiology and Biostatistics Program, Department of Environmental and Occupational Health, School of Community Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
3National Supercomputing Institute, University of Nevada, Las Vegas, NV, USA
4Alzheimer's Therapeutic Research Institute, Keck School of Medicine, University of Southern California, San Diego, CA, USA

Tóm tắt

AbstractModern medicine is in the midst of a revolution driven by “big data,” rapidly advancing computing power, and broader integration of technology into healthcare. Highly detailed and individualized profiles of both health and disease states are now possible, including biomarkers, genomic profiles, cognitive and behavioral phenotypes, high‐frequency assessments, and medical imaging. Although these data are incredibly complex, they can potentially be used to understand multi‐determinant causal relationships, elucidate modifiable factors, and ultimately customize treatments based on individual parameters. Especially for neurodegenerative diseases, where an effective therapeutic agent has yet to be discovered, there remains a critical need for an interdisciplinary perspective on data and information management due to the number of unanswered questions. Biomedical informatics is a multidisciplinary field that falls at the intersection of information technology, computer and data science, engineering, and healthcare that will be instrumental for uncovering novel insights into neurodegenerative disease research, including both causal relationships and therapeutic targets and maximizing the utility of both clinical and research data. The present study aims to provide a brief overview of biomedical informatics and how clinical data applications such as clinical decision support tools can be developed to derive new knowledge from the wealth of available data to advance clinical care and scientific research of neurodegenerative diseases in the era of precision medicine.

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Alzheimer's and Dementia: Translational Research and Clinical Interventions

Tập 4

357-365

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