Morning Session #2: Large-Scale Imaging Data Integration in Alzheimer’s Disease

Add to Calendar Morning Session #2: Large-Scale Imaging Data Integration in Alzheimer’s Disease 4/10/2024 10:30:00 AM 4/10/2024 11:30:00 AM America/Chicago For More Details: https://vumc.cloud-cme.com/course/courseoverview?EID=94513 Description: This virtual interdisciplinary symposium features a keynote address, Vanderbilt faculty presentations, a data blitz session, and a poster session featuring basic, clinical, and translational research activities across campus on Alzheimer's disease and related dementias. Presentations will be multidisciplinary and geared to educate trainees, clinicians, and researchers on the latest research and practic... Other false MM/DD/YYYY


Wednesday, April 10, 2024, 10:30 AM - 11:30 AM, Other, Nashville, TN


Specialties - Biochemistry, Biomedical Informatics, Biostatistics, Cell and Developmental Biology, Health Policy, Medicine, Molecular Physiology & Biophysics, Neurology, Pathology, Microbiology and Immunology, Pharmacology, Psychiatry and Behavioral Sciences, Radiology and Radiological Sciences


AMA PRA Category 1 Credits™ (1.00 hours), CE Credit for Psychologists (1.00 hours), Non-Physician Attendance (1.00 hours)


This virtual interdisciplinary symposium features a keynote address, Vanderbilt faculty presentations, a data blitz session, and a poster session featuring basic, clinical, and translational research activities across campus on Alzheimer's disease and related dementias. Presentations will be multidisciplinary and geared to educate trainees, clinicians, and researchers on the latest research and practices in the Alzheimer's field.


ACCME Objectives
  1. Review current updates in Alzheimer's and related dementia research surrounding large-scale data applications.*
  2. Generate opportunities for research collaboration to synergize advances in Alzheimer’s disease.*
  3. Identify “big data” resources for research on Alzheimer’s disease and related dementias.*
  4. Describe omics-based methodologies that can advance understanding of Alzheimer’s pathophysiology.
  5. Develop strategies for overcoming multi-site data integration challenges in Alzheimer’s research.
  6. Discuss the advantages and limitations of using Medicare claims data for monitoring Alzheimer’s disease and related dementias.
  7. Gain insight into harmonization techniques for large-scale neuroimaging data.
  8. Identify key principles, frameworks, and best practices to promote data equity.
  9. Evaluate the potential of artificial intelligence in repurposing drugs for Alzheimer’s disease and related dementias.
  10. Discuss applications for estimating and leveraging genetic predictors of neuroimaging derived phenotypes.
  11. Discuss the integration of multiple forms of molecular imaging and how they can be applied to study disease.
  12. Provide new findings from multi-omics technologies that can help move toward precision medicine interventions.
  13. Discuss how deep learning can contribute to understanding the heterogeneity of brain aging.
  14. Explore applications of deep learning methods for imaging genomics.
  15. Apply best practices to implement data equity approaches.

APA Objectives
  1. Develop strategies for overcoming multi-site data integration challenges in Alzheimer’s research.
  2. Gain insight into harmonization techniques for large-scale neuroimaging data.


Vanderbilt University Medical Center is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

Vanderbilt University Medical Center designates this live activity for a maximum 1.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.