Anisha Shah

University of Pittsburgh

4 active projects

Healthcare Determinants

To identify novel healthcare determinants to better identify and assess cardiovascular diseases and other common chronic diseases

Scientific Questions Being Studied

To identify novel healthcare determinants to better identify and assess cardiovascular diseases and other common chronic diseases

Project Purpose(s)

  • Disease Focused Research (cardiovascular diseases)
  • Social / Behavioral
  • Ancestry

Scientific Approaches

We plan to use genetic data, clinical data, and survey data to better understand how these variables impact cardiovascular disease.

Anticipated Findings

The relationship between cardiovascular diseases and novel health care determinants will better inform clinical choice in therapy, and make for more tailored approaches to medically complex diseases.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Collaborators:

  • Jesse Wang - Research Fellow, University of Pittsburgh

Pulmonary Hypertension Research

We hope to better understand the association between pulmonary hypertension, cardiovascular diseases, sleep disorders and inflammatory auto-immune disorders.

Scientific Questions Being Studied

We hope to better understand the association between pulmonary hypertension, cardiovascular diseases, sleep disorders and inflammatory auto-immune disorders.

Project Purpose(s)

  • Disease Focused Research (pulmonary hypertension)
  • Ancestry

Scientific Approaches

We plan to use genetic data, clinical data, and survey data to better understand how these variables impact pulmonary hypertension.

Anticipated Findings

The relationship between pulmonary hypertension and other comorbidities will better inform clinical choice in therapy, and make for more tailored approaches to medically complex diseases.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • David Sweet - Research Fellow, University of Pittsburgh
  • Nishita Kalepalli - Graduate Trainee, University of Pittsburgh
  • Jesse Wang - Research Fellow, University of Pittsburgh
  • Hunter Hollis - Project Personnel, All of Us Program Operational Use

Pulmonary Hypertension

We hope to better understand the association between pulmonary hypertension, cardiovascular diseases, sleep disorders and inflammatory auto-immune disorders. .

Scientific Questions Being Studied

We hope to better understand the association between pulmonary hypertension, cardiovascular diseases, sleep disorders and inflammatory auto-immune disorders.

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Project Purpose(s)

  • Disease Focused Research (pulmonary hypertension)
  • Ancestry

Scientific Approaches

We plan to use genetic data, clinical data and survey data to better understand how these variables impact pulmonary hypertension.

Anticipated Findings

The relationship of between pulmonary hypertension and other comorbidities will better inform clinical choice in therapy, and make for more tailored approaches to medically complex diseases.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Satoshi Okawa - Early Career Tenure-track Researcher, University of Pittsburgh
  • Anisha Shah - Other, University of Pittsburgh

Pulmonary Hypertension and Other Diseases

This body of work aims to better understand the interaction of pulmonary hypertension with cardiovascular diseases, sleep disorders and autoimmune diseases.

Scientific Questions Being Studied

This body of work aims to better understand the interaction of pulmonary hypertension with cardiovascular diseases, sleep disorders and autoimmune diseases.

Project Purpose(s)

  • Disease Focused Research (pulmonary hypertension)
  • Ancestry

Scientific Approaches

To address its aims, this study will utilize the genetic data, serologies and surveys that the participants provided in order to better understand how these parameters fluctuate during pulmonary hypertension.

Anticipated Findings

By better understanding the interaction of pulmonary hypertension with other diseases, more treatment options with fewer side effects would become possible.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

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