Tommy Ly
Project Personnel, One Fact Foundation
2 active projects
Genomic Data
Scientific Questions Being Studied
First, defining a phenotype with words (a few sentences, a billeted list), then mapping the concepts in there to SNOMED-CT identifiers (numerical ids), then making a SQL query in all of us , then validating it and seeing if we can answer a research question.
Project Purpose(s)
- Disease Focused Research (Cancer Genomics)
- Educational
Scientific Approaches
First, defining a phenotype with words (a few sentences, a billeted list), then mapping the concepts in there to SNOMED-CT identifiers (numerical ids), then making a SQL query in all of us , then validating it and seeing if we can answer a research question.
Anticipated Findings
Correlation between ZIP code and health outcome. For example, take 120 prevalents ZIP code with highest wealth and compare that with cancer cost
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Geography
- Disability Status
- Access to Care
- Education Level
- Income Level
Data Set Used
Controlled TierResearch Team
Owner:
- Tommy Ly - Project Personnel, One Fact Foundation
Collaborators:
- Michele Tadiello - Project Personnel, One Fact Foundation
- Jaan Altosaar - Other, One Fact Foundation
- Pascal Heus - Project Personnel, One Fact Foundation
Payless Health
Scientific Questions Being Studied
Comparing hospital's quality metric. Currently hospital pricing can be ambiguous, and comparing hospital outcome vs ZIP code vs phenotype is crucial to understand and compare hospital's outcome.
Project Purpose(s)
- Drug Development
- Methods Development
- Ancestry
Scientific Approaches
Will create a cohort of hospital's outcome by ZIP code, split into phenotype, mostly focus on New York City for now
Anticipated Findings
I'd expect a list of hospital with list of disease to be treated and map them correctly with the right ZIP code.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Geography
- Disability Status
- Access to Care
- Education Level
- Income Level
Data Set Used
Registered TierResearch Team
Owner:
- Tommy Ly - Project Personnel, One Fact Foundation
Collaborators:
- Michele Tadiello - Project Personnel, One Fact Foundation
- Jaan Altosaar - Other, One Fact Foundation
- Pascal Heus - Project Personnel, One Fact Foundation
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