Adedolapo Adegbuyi

Undergraduate Student, Towson University

2 active projects

New Workspace

This workspace will expose students to the realities of research and database work. It will focus on data analysis and extraction using R programming.

Scientific Questions Being Studied

This workspace will expose students to the realities of research and database work. It will focus on data analysis and extraction using R programming.

Project Purpose(s)

  • Educational

Scientific Approaches

This workspace will be used to examine vasculitis in conjunction with LDL to find out if there are other novel ways to test for the condition. Methods that will be used include: Data collection, data analyses, statistical methods, R programming, graphs and boxplots.

Anticipated Findings

This study should establish relationships between vasculitis and other different concepts including: its correlation to age, gender, race and many other constraints. This could provide a novel way to diagnose the condition earlier on in life and benefit patients.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation

Research Team

Owner:

Collaborators:

  • Njambi Kiguru - Undergraduate Student, Towson University
  • Kathryn McDougal - Other, Towson University
  • Abby Wennick - Undergraduate Student, Towson University
  • Akeem Laurence - Undergraduate Student, Towson University

(Ade) E.g 1: Cancer diagnosis and blood lipid count.

Dataset on cancer, HDL and LDL. What correlations exist between cancer and HDL/LDL levels? Does increase in LDL mean higher chance of a cancer in the future? Can this be a means to help people catch cancer early on and…

Scientific Questions Being Studied

Dataset on cancer, HDL and LDL. What correlations exist between cancer and HDL/LDL levels? Does increase in LDL mean higher chance of a cancer in the future? Can this be a means to help people catch cancer early on and lead to an increased quality of life and a higher chance for surviving?

Project Purpose(s)

  • Other Purpose (Testing out dataset by using lipid measurements to find out how cancer can be diagnosed using lipid measurements. Also, finding out if there is a difference based on demographics and if that can affect diagnosis outcome. )

Scientific Approaches

Cancer data on patients (date of first diagnosis), LDL/HDL measurements (averaged, or most uniform measurement), date of recovery, Adults (demographics, 20-50 years old), and Ethnicity (race). R would be used to find averages, trends and p-value of the dataset created. Is there going to be a difference in the dataset based on ethnicity? Could that be due to geographic location and would that make it a valid testing method for only certain groups?
Increased LDL can be gotten from blood analysis and would be faster than tissue sampling for cancer diagnosis. If this should show any hope of being useful, it will mean that cancer can be diagnosed earlier on and caught early through a blood test.

Anticipated Findings

Hopefully, we find out that LDL/HDL levels in blood can be used to predict cancer diagnosis. Further applications would be to ask why that is and if it is as a result of blood type or if it is genetically linked. other questions that can be asked would be; Can different cancer drugs lead to different survival rates and how do they correlate in terms of relapse and lipid levels in the blood? do certain SNPs have different reactions and why?

Demographic Categories of Interest

  • Race / Ethnicity

Research Team

Owner:

Collaborators:

  • Njambi Kiguru - Undergraduate Student, Towson University
  • Kathryn McDougal - Other, Towson University
  • Abby Wennick - Undergraduate Student, Towson University
  • Akeem Laurence - Undergraduate Student, Towson University
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