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Development Of A Computational Model To Investigate Pathways And The Effects Of Treatment In Fanconi Anemia, Sabrina Kellett
Development Of A Computational Model To Investigate Pathways And The Effects Of Treatment In Fanconi Anemia, Sabrina Kellett
Biological Sciences Undergraduate Honors Theses
Fanconi Anemia (FA) is a rare type of anemia that is not easily studied and can have very detrimental effects. This disease compromises the bone marrow, resulting in decreased hemopoiesis. Symptoms of FA also include abnormalities in the brain and spinal cord, incorrect formation of the kidneys, abnormal formation of the heart and lungs, and a dramatically increased risk of developing cancer. FA can be caused by various mutations in any of the 22 genes that encode for proteins involved in what is called the FA DNA repair pathway. In healthy individuals, this pathway specifically repairs interstrand cross-links (ICLs) recognized …
Cost-Benefit Analysis Of Increased Water Treatment Plant Service Goals On Reducing Water Quality Risk, Briton Polen, Kendra Sanner
Cost-Benefit Analysis Of Increased Water Treatment Plant Service Goals On Reducing Water Quality Risk, Briton Polen, Kendra Sanner
Williams Honors College, Honors Research Projects
To treat water to make it safe to drink, disinfection processes are used in water treatment plants. These disinfection processes produce disinfection byproducts (DBPs) through the reaction of organic matter and the disinfectant, such as chlorine. DBPs have been shown to pose a cancer risk to consumers. In this report, the focus is on two types of DBPs, trihalomethanes (THMs) and haloacetic acids (HAAs). The cancer risks associated with DBPs are analyzed through ingestion and inhalation pathways. Ingestion and inhalation consist of common water uses like drinking, cooking, or bathing. In addition to this, DBPs have been shown to increase …
Effect Of Chemotherapeutic Treatment Schedule On A Tissue Transport Model, Dan E. Ganz
Effect Of Chemotherapeutic Treatment Schedule On A Tissue Transport Model, Dan E. Ganz
Masters Theses
Current chemotherapeutic treatment schedule prediction methods rely heavily on PK/PD-based models and overlook the important contribution of tissue-level transport and binding. Tissue-level transport and binding phenomena are essential to understanding drug delivery and efficacy in tumors. Drugs with desirable PK/PD properties often fail in vivo due to poor tissue-level transport. We developed an in silico method to predict the effect of treatment schedule on efficacy that couples PK/PD with tissue-level transport. Treatment schedules were implemented on theoretical drugs with different PK/PD and transport properties. For each drug with a given clearance rate, diffusivity, and binding, treatment schedules consisting of one …