Fadwa Ahmed

Graduate Trainee, Brown University

6 active projects

Duplicate2 of Alopecia Areata and other Immune-Mediated Dermatologic Conditions

We are interested in studying the influence of climate on the clinical course of alopecia areata (AA), atopic diseases, and other immune-mediated dermatologic conditions. We will also explore the association between AA, atopic conditions, and immune-mediated diseases. We hypothesize that…

Scientific Questions Being Studied

We are interested in studying the influence of climate on the clinical course of alopecia areata (AA), atopic diseases, and other immune-mediated dermatologic conditions. We will also explore the association between AA, atopic conditions, and immune-mediated diseases. We hypothesize that people with immune-mediated diseases may be at increased risk of developing AA. Lastly, we plan to explore whether medication utilization for AA, atopic diseases, and immune-mediated dermatologic conditions varies by race, season, geographical location, socioeconomic status, or insurance status.

Project Purpose(s)

  • Disease Focused Research (Immune-mediated dermatologic conditions)

Scientific Approaches

Using the All of Us dataset, we will evaluate the associations between various immune-mediated diseases and risk of alopecia areata. We will also utilize correlation analyses to explore whether various factors influence the pattern of disease flares and health care utilization. Statistical analysis will be conducted using STATA software and R.

Anticipated Findings

Comorbidity studies have the potential to inform screening for associated diseases and may help guide future animal model or genome wide association studies, which may ultimately improve clinical outcomes.

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 Tier

Research Team

Owner:

Collaborators:

  • Zachary Lin - Undergraduate Student, Brown University
  • Sara Ragi - Graduate Trainee, Brown University
  • Megan Tran - Graduate Trainee, Brown University
  • Joshua Woo - Undergraduate Student, Brown University
  • Jessica Hong - Undergraduate Student, Brown University
  • Dorra Guermazi - Undergraduate Student, Brown University
  • Mark Hocevar - Graduate Trainee, Brown University
  • Jeremy Orloff - Graduate Trainee, Icahn School of Medicine at Mount Sinai
  • Austin Piontkowski - Graduate Trainee, Icahn School of Medicine at Mount Sinai

Duplicate of Acne Vulgaris and other dermatological conditions

We are interested in studying the diagnostic patterns for acne vulgaris, acne keloidalis nuchae, and other dermatologic conditions, focusing on patterns in underrepresented groups. We will also explore the associations between dermatological conditions and psychiatric or systemic comorbidities . We…

Scientific Questions Being Studied

We are interested in studying the diagnostic patterns for acne vulgaris, acne keloidalis nuchae, and other dermatologic conditions, focusing on patterns in underrepresented groups. We will also explore the associations between dermatological conditions and psychiatric or systemic comorbidities . We hypothesize that people from underrepresented groups experience higher burden of dermatologic diseases. Lastly, we plan to explore whether medication utilization for acne vulgaris, acne keloidalis nuchae, and other dermatological diseases varies by race, season, geographical location, socioeconomic status, or insurance status.

Project Purpose(s)

  • Disease Focused Research (acne, keloids, and other dermatological conditions)
  • Population Health
  • Social / Behavioral

Scientific Approaches

Using the All of Us dataset, we will evaluate the associations between dermatological diseases and various psychiatric and systemic comorbidities. We will also utilize correlation analyses, logistic regression, and tests of independence to explore whether various factors influence the patterns of diagnosis and health care utilization. Statistical analysis will be conducted using R.

Anticipated Findings

Comorbidity studies have the potential to inform screening for associated diseases and may help guide future animal model or genome wide association studies, which may ultimately improve clinical outcomes. Improved understanding of burden of dermatological diseases in underrepresented groups and differences in prescribing patterns/healthcare utilization among these groups will highlight opportunities for improving access to dermatological care.

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 Tier

Research Team

Owner:

Collaborators:

  • Mark Hocevar - Graduate Trainee, Brown University

Acne Vulgaris and other dermatological conditions

We are interested in studying the diagnostic patterns for acne vulgaris, acne keloidalis nuchae, and other dermatologic conditions, focusing on patterns in underrepresented groups. We will also explore the associations between dermatological conditions and psychiatric or systemic comorbidities . We…

Scientific Questions Being Studied

We are interested in studying the diagnostic patterns for acne vulgaris, acne keloidalis nuchae, and other dermatologic conditions, focusing on patterns in underrepresented groups. We will also explore the associations between dermatological conditions and psychiatric or systemic comorbidities . We hypothesize that people from underrepresented groups experience higher burden of dermatologic diseases. Lastly, we plan to explore whether medication utilization for acne vulgaris, acne keloidalis nuchae, and other dermatological diseases varies by race, season, geographical location, socioeconomic status, or insurance status.

Project Purpose(s)

  • Disease Focused Research (acne, keloids, and other dermatological conditions)
  • Population Health
  • Social / Behavioral

Scientific Approaches

Using the All of Us dataset, we will evaluate the associations between dermatological diseases and various psychiatric and systemic comorbidities. We will also utilize correlation analyses, logistic regression, and tests of independence to explore whether various factors influence the patterns of diagnosis and health care utilization. Statistical analysis will be conducted using R.

Anticipated Findings

Comorbidity studies have the potential to inform screening for associated diseases and may help guide future animal model or genome wide association studies, which may ultimately improve clinical outcomes. Improved understanding of burden of dermatological diseases in underrepresented groups and differences in prescribing patterns/healthcare utilization among these groups will highlight opportunities for improving access to dermatological care.

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 Tier

Research Team

Owner:

Collaborators:

  • Mark Hocevar - Graduate Trainee, Brown University

CKD and SCC

We hope to explore previously unexamined or scarcely examined comorbidities associated with squamous cell carcinoma of the skin. Specifically, we plan to examine the relationship between chronic kidney disease and squamous cell carcinoma. This would further enhance our understanding of…

Scientific Questions Being Studied

We hope to explore previously unexamined or scarcely examined comorbidities associated with squamous cell carcinoma of the skin. Specifically, we plan to examine the relationship between chronic kidney disease and squamous cell carcinoma. This would further enhance our understanding of risk factors for SCC and have potential implications for future screening guidelines.

Project Purpose(s)

  • Disease Focused Research (squamous cell carcinoma of the skin)

Scientific Approaches

We plan to use a case-controlled study to examine possible associations between chronic kidney disease and squamous cell carcinoma.

Anticipated Findings

We hypothesize an association between chronic kidney disease and squamous cell carcinoma of the skin. To our knowledge, this association has not been described previously.

Demographic Categories of Interest

  • Age
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

Duplicate of Alopecia areata

We plan to investigate whether socioeconomic and environmental factors play a role in the development and disease course of alopecia areata. Previous research has suggested differences in alopecia areata prevalence across different racial groups, with the condition being more common…

Scientific Questions Being Studied

We plan to investigate whether socioeconomic and environmental factors play a role in the development and disease course of alopecia areata. Previous research has suggested differences in alopecia areata prevalence across different racial groups, with the condition being more common among Black people. We plan to investigate the All of Us database to unravel any socioeconomic and environmental factors that may underly these differences.

Project Purpose(s)

  • Disease Focused Research (alopecia areata)
  • Population Health

Scientific Approaches

We plan to examine prevalence of alopecia areata across socioeconomic groups and investigate relationships with geographic variables. We will analyze these variables in association with race/ethnicity as well, given the previously described association between race and alopecia areata prevalence. The exact methods used to analyze these factors will be refined once the researcher explores the All of Us database and acquires a better sense of what data is available and how it can be analyzed.

Anticipated Findings

We anticipate that socioeconomic variable and geographic/environmental factors play a role in epidemiology of alopecia areata and may partially explain the previously observed differences in alopecia areata prevalence across racial groups.

Demographic Categories of Interest

  • Race / Ethnicity
  • Geography
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

Alopecia areata

We plan to investigate whether socioeconomic and environmental factors play a role in the development and disease course of alopecia areata. Previous research has suggested differences in alopecia areata prevalence across different racial groups, with the condition being more common…

Scientific Questions Being Studied

We plan to investigate whether socioeconomic and environmental factors play a role in the development and disease course of alopecia areata. Previous research has suggested differences in alopecia areata prevalence across different racial groups, with the condition being more common among Black people. We plan to investigate the All of Us database to unravel any socioeconomic and environmental factors that may underly these differences.

Project Purpose(s)

  • Disease Focused Research (alopecia areata)
  • Population Health

Scientific Approaches

We plan to examine prevalence of alopecia areata across socioeconomic groups and investigate relationships with geographic variables. We will analyze these variables in association with race/ethnicity as well, given the previously described association between race and alopecia areata prevalence. The exact methods used to analyze these factors will be refined once the researcher explores the All of Us database and acquires a better sense of what data is available and how it can be analyzed.

Anticipated Findings

We anticipate that socioeconomic variable and geographic/environmental factors play a role in epidemiology of alopecia areata and may partially explain the previously observed differences in alopecia areata prevalence across racial groups.

Demographic Categories of Interest

  • Race / Ethnicity
  • Geography
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

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