Open Access. Powered by Scholars. Published by Universities.®

Biotechnology Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Biotechnology

Measurement And Imaging Of Intra Matrix Igg Diffusion, Riya Debbarma, Antonio C. F. Dos Santos, Diana Milena Ramiez Gutierrez, Fernanda M. Da Cunha, Michael Ladisch Mar 2024

Measurement And Imaging Of Intra Matrix Igg Diffusion, Riya Debbarma, Antonio C. F. Dos Santos, Diana Milena Ramiez Gutierrez, Fernanda M. Da Cunha, Michael Ladisch

Graduate Industrial Research Symposium

Bovine IgG diffusion measurement by tracking the movement of the protein over time in an in-vitro matrix is motivated by the large number of protein/peptide therapeutics currently under various stages of development in the pharmaceutical industry. Many of these therapeutics are monoclonal antibodies (IgG type proteins) that are candidates for subcutaneous, intra-vitreous and intra-articular administration depending on the target of the therapeutic. Hyaluronic acid (HA) is a major constituent and determines the key attributes of the subcutaneous environment, vitreous humor of the eye and synovial fluid of the knee joint. HA exhibits varying molecular weight at these anatomic locations thereby …


Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman Jan 2024

Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman

Undergraduate Research Posters

Early intervention in Alzheimer's is vital for treatment. The earlier a professional can detect symptoms and make a diagnosis the earlier a prognosis can be implemented. With the prevalence of data in our day-to-day world combined with Artificial intelligence (AI), utilizing both for machine learning can pave the way for more accurate and efficient detection of Alzheimer's and other neurodegenerative diseases. AI combined with Machine learning (ML) increases diagnostic efficiency and reduces human errors, making it a valuable resource for physicians and clinicians alike. With the increasing amount of data processing and image interpretation required, the ability to use AI …