Open Access. Powered by Scholars. Published by Universities.®
Biomedical Engineering and Bioengineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Service learning (2)
- Bioengineering (1)
- Biomedical Engineering (1)
- Breast cancer (1)
- Computer Science (1)
-
- Deep Learning (1)
- Diffuse Reflectance Spectroscopy (1)
- Entrepreneurial (1)
- FGCs (1)
- Gender (1)
- Hypoxia (1)
- Image Classification (1)
- Image Expansion (1)
- Log Reduction Value (1)
- Neural Network (1)
- PG-4 cell line (1)
- PH inactivation (1)
- Race (1)
- Radiation Therapy (1)
- Service Learning (1)
- Tumor oxygenation (1)
- Virus Clearance (1)
- Virus titer (1)
- XMuLV virus (1)
Articles 1 - 4 of 4
Full-Text Articles in Biomedical Engineering and Bioengineering
Disparities In Response, Motivations, And Self-Efficacy To Entrepreneurially Minded Learning Within Underrepresented Students' Groups, Kaitlin Hall
Biomedical Engineering Undergraduate Honors Theses
Systemic racism in the United States is embedded within the policies that have created oppression for certain groups. Women, people of color, and those from low-income families have less access to entrepreneurial knowledge due to the education gap. It has been determined that less than 20 percent of US patents entail a female inventor. Black and Hispanic college graduates also lack this access as fewer than half as many individuals hold patents. Ensuring that these populations are educated in inventor knowledge can facilitate greater inclusion. The historical Brown vs the Board of Education intended to end unequal public schooling. It …
Expanding Image Datasets For Deep Learning By Evaluating Independence Through Coefficient Correlation And Mean-Squared Error, Ayman Yousef
Expanding Image Datasets For Deep Learning By Evaluating Independence Through Coefficient Correlation And Mean-Squared Error, Ayman Yousef
Biomedical Engineering Undergraduate Honors Theses
With deep learning being leveraged more regularly in the field of image classification, particularly in medical imaging, network optimizations have become a field in and of itself. With open source, comprehensive medical image datasets few and far, computational dataset expansion has become a useful tool for researchers without the ability to further manually collect data. However, with the rich amount of data that imaging modalities like multi-photon microscopy collect at a time, there is potential to expand datasets through proper utilization of this data that often time goes unused. Previous deep learning studies have shown that improper expansion can conflate …
Investigating Virus Clearance Via Ph Inactivation During Biomanufacturing, Wenbo Xu
Investigating Virus Clearance Via Ph Inactivation During Biomanufacturing, Wenbo Xu
Biomedical Engineering Undergraduate Honors Theses
In the processing of biopharmaceuticals, viral clearance and viral safety are important for the development of monoclonal antibodies. Murine xenotropic leukemia virus (XMuLV) is one of the retroviruses, recommended by Food and Drug Administration (FDA) as a model virus for viral clearance via inactivation from therapeutics derived from Chinese hamster ovary cells (CHO). A robust and effective method was investigated to clear or inactivate endogenous viruses by low pH inactivation. The effects of different conductivity and inactivated time on XMuLV clearance was determined. Acetate buffer was prepared with different conductivity, and 2% XMuLV was spiked into acetate buffer. XMuLV virus …
Investigation Of Acute Radiation-Induced Changes In Oxygenation In A Murine Breast Tumor Model, Alaa Abdelgawad
Investigation Of Acute Radiation-Induced Changes In Oxygenation In A Murine Breast Tumor Model, Alaa Abdelgawad
Biomedical Engineering Undergraduate Honors Theses
Around 50-60% of all cancer patients undergo radiation therapy. Although some patients show complete response with no recurrence, a significant proportion of the population still develop radiation resistance. It is important to identify tumor resistance at early stages of therapy in order to adjust treatment protocol and avoid extra exposure to radiation. Current methods to assess treatment response are only limited to anatomical measurements of tumor volume after therapy. Novel approaches that shed the light on any functional information during the course of radiotherapy could significantly improve our ability to identify patients who do not respond to radiation therapy. Diffuse …