Spectrum of Research Exposure: Medical Students

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Perspectives about Investments in Clinical
Research
Arthur S. Levine, M.D. Senior Vice Chancellor for
the Health Sciences Dean, School of
Medicine University of Pittsburgh April 10, 2008
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PIB in AD and Control
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DNA Repair-deficient mouse models
Undetectable repair protein
10 normal levels
25 normal levels
3 wks
4 mths
1 yr
Repair Protein Levels
Rate of Aging
Osteoporosis Collagen defects and skin atrophy
Neurodegeneration Renal and liver
dysfunction Infertility Immune
deficiency Muscle weakness Cancer Blindness

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INTEL RESEARCH, PITTSBURGH
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Diamond (Interactive Search Assisted Diagnosis)
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BioDiamond Opening Access to Basic and Clinical
Research Data
What questions CAN be asked?

• Fewer studies
• Limited by indexing
• Untapped data

Locate Data
Current Model
Indexed Data
Tip of the Iceberg
BioDiamond Model
BioDiamond

• More studies
• NOT limited by indexing
• Assess ALL data
• More important answers

Open Source Framework for Fast Remote Parallel
Search of ALL Data, Indexed and Non-Indexed, ANY
FORMAT or MODALITY
What questions SHOULD be asked?
Matthew Freiberg, MD, MSc, University of
Pittsburgh School of Medicine Bruce Lee, MD,
MBA, University of Pittsburgh School of Medicine
M. Satyanarayanan, PhD, School of Computer
Science, Carnegie Mellon University Joel Stiles,
MD, PhD, Pittsburgh Supercomputing Center,
Carnegie Mellon University
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Spectrum of Research ExposureMedical Students

• Scholarly project
• Clinical Scientist Training Program
• Physician Scientist Training Program
• Medical Scientist Training Program
• Joint Degree in Medicine and Bioethics
• Multidisciplinary Master of Public Health
• Physician Scientist Training Program

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Research Support MechanismsFaculty

• Excellence in Progressive Leading-edge, Original
  Research (EXPLORER) Award
• Health Sciences Bridge Funding Program
• 79 subsequently funded by NIH
• SVC/CTSI Planning Grants for Genome Wide
  Association Studies
• CTSI Basic to Clinical Collaborative Research
  Pilot Program
• Competitive Medical Research Fund

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• Necessary Investments Going Forward
• More clinician-scientists
• More patients for clinical trials
• Interoperable, digitized, indexed and
• non-indexed IT infrastructure
• More money!