Identification of biomarkers and therapeutic combinations for immune checkpoint inhibitors (ICIs) using explanatory subgroup discovery for cancer patients without EGFR mutation
Phenotypic and genotypic heterogeneity are characteristic features of cancer patients. To tackle patients’ heterogeneity, immune checkpoint inhibitors (ICIs) represent one of the most promising therapeutic approaches to treat cancer. However, 50% of cancer patients that are eligible for treatment with…
A Privacy-Preserved Transfer Learning Concept to Predict Diabetic Kidney Disease at Out-of-Network Siloed Sites Using an In-Network Federated Model on Real-World Data
Successful implementation of data-driven artificial intelligence (AI) applications requires access to large datasets. Healthcare institutions can establish coordinated data-sharing networks to address the complexity of large clinical data accessibility for scientific advancements. However, persisting challenges from controlled access, safe data…
Survival analysis in Stage II and III Colorectal Cancer Patients Using Novel Exploratory Data Mining
This study leverages clinicopathological data and genomic mutations based on a framework that includes a companion diagnostic template and a novel explainable AI algorithm to improve the selection of prospective patients for adjuvant therapy in colorectal cancer (CRC). Integrating these…
Modeling Pyrus calleryana spread in central Missouri using remote sensing and a non-parametric modeling approach
Invasive species pose a unique threat to native species and habitat through direct and indirect competition of resources. Management of invasive species depends on precise identification of their current range and knowledge of how they spread. This project will utilize…
Developing a Web-Based Interface to Manage Sensor Technologies in the Homes of Older Adults
Internet of Things sensors capture daily activities and physiological data that can improve care for older adults. Sensors have the potential to enable health coaching for self-management and care coordination by connecting individuals to care providers and informal caregivers. However, remote…
The impact of treatment adjustment in breast cancer by Cerner Real-World Data during pandemic
The global burden of the ongoing COVID-19 pandemic has predominantly been measured using metrics like case numbers, hospitalizations and deaths. However, the short-term health impacts are more difficult to capture, especially for breast cancer(BC) patients. An expert opinion formulated by…
The Soybean Allele Catalog Tool: A Web-Based Interactive Tool for Gene Alleles Discovery
The advancement of sequencing technologies has made a plethora of whole genome sequenced (WGS) data publicly available. However, utilizing the raw WGS data will not generate promising research outcomes for agriculture. To solve this problem, the Soybean Allele Catalog Tool…
An Evaluation of an Electronic Medical Record (EMR) Based System to Characterize and Correlate Physician Burnout and EMR Use
Burnout disproportionately affects healthcare workers and continues to rise, contributing to cost, quality, and patient safety risk in an already overburdened United States healthcare system. While the causes of burnout are complex, evidence suggests that Electronic Medical Record use (EMR) is one major contributor due to the increased clerical…
MUIDSI Core Faculty Member Receives $2M Grant
Dr. Lori Popejoy, MUIDSI core faculty member and associate professor in the Sinclair School of Nursing, was recently awarded a $2M grant from the Agency for Healthcare Research and Quality to study the responses in nursing homes to COVID-19. Read…