Publications by authors named "V Fitzpatrick"

Tissue regeneration can be achieved by providing endogenous cells with a biomaterial scaffold that supports their adhesion and proliferation, as well as the synthesis and deposition of an extracellular matrix (ECM). In this work, silk fibroin protein foams were formed by lyophilization to generate tissue engineering scaffolds. Three types of medically relevant nanoparticles (NPs) (iron oxide, gold and silver) were added to this biomaterial to assess the ability of silk foams to be functionalized with these NPs.

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Background: Higher cytotoxic T lymphocyte (CTL) numbers in the tumor microenvironment (TME) predict pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) and positive long-term outcomes in triple-negative breast cancer (TNBC). pCR to NAC is achieved only in 30-40% of patients. The combination of NAC with pembrolizumab increases the pCR rate but at the cost of immune-related adverse events (irAEs).

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Background: To explore the association between ethnicity, as a proxy for language, and participation in clinical trials (CT) conducted by Principal Investigators (PI) who speak one or more language in addition to English.

Methods: This retrospective, descriptive study utilized CT participant demographic data extracted from the largest Midwestern non-profit healthcare system between January 1, 2019 and 12/31/2021. The CT participant sample (N = 4308) was divided for comparison: CT Participants of Hispanic or Latino Origin (N = 254; 5.

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Objective: To assess the association between pancreatic enzyme replacement therapy (PERT) and resource utilization among patients with chronic pancreatitis (CP) in a large Midwestern US healthcare system.

Methods: This retrospective cohort study used electronic medical record data. Eligible patients (N = 2445) were aged ≥18 years and diagnosed with non-cystic fibrosis CP between January 2005 and December 2018, with ≥6 months' follow-up; study initiation was first encounter with the healthcare system.

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Schizophrenia is often characterized by recurring relapses, which are associated with a substantial clinical and economic burden. Early identification of individuals at the highest risk for relapse in real-world treatment settings could help improve outcomes and reduce healthcare costs. Prior work has identified a few consistent predictors of relapse in schizophrenia, however, studies to date have been limited to insurance claims data or small patient populations.

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