Dr. Laura Struble

Professor

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Biography

Laura M. Struble is a Clinical Professor Emerita at the University of Michigan School of Nursing, with expertise in neurology and geriatric psychiatry. She has dedicated her career to improving the care of older adults, particularly in understanding and managing disruptive behaviors associated with neurodegenerative conditions like dementia. Dr. Struble has been involved in educating health professionals on competent geriatric care and serves as an expert in gerontology within advanced practice nursing programs. She has practiced as a nurse practitioner with the Geriatric Psychiatry team at the University, contributing to research and clinical practice focused on non-pharmacological interventions for behavioral and psychological symptoms of dementia. Her current research includes studying the effects of low-level laser acupuncture on agitation in dementia patients and enhancing workforce capacity for behavioral dementia care. Dr. Struble has also developed innovative educational strategies for nursing students and has participated in various professional organizations dedicated to geriatric nursing and research.

Research Interests

Experience

Clinical Professor Emerita

2016-01-01 — Present

University of Michigan School of Nursing • Ann Arbor, MI

Serves as an expert in gerontology and behavioral intervention for older adults.

Awards

#

Fisk Foundation Award

2016-12-01

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science