A work focused on creating a model which simulates patient treatment shift information. This is useful for the purpose of exploring the effects of motion on patient treat [...]

Pancreatic Ductal Adenocarcinoma (PDAc) ranks among the top three most aggressive cancers in the United States and is projected to increase in incidence over the next few [...]

The work presented in this dissertation focuses on the development of robust deep learning models to predict in-vitro cancer drug responses, with utility in precision onc [...]

Pragmatic language difficulties are common among autistic children, and assessment of pragmatic language skills over time is an important predictor of quality of life out [...]

The innate neuroimmune response is characterized, in part, by proliferation and morphological changes of microglia and astrocytes. Over-activation of microglia results in [...]

A major challenge in precision oncology is accurately modeling the molecular machinery that governs cellular sensitivity or resistance to a given drug or drug combination [...]

The pork tapeworm (Taenia solium) is a parasitic helminth that imposes a major health and economic burden on poor rural populations around the world. Larval infection of [...]