Understanding Common Key Indicators of Successful and Unsuccessful Cancer Drug Trials Using Contrast Mining
Clinical trials are essential in the process of new drug development. As clinical trials involve significant investments of time and money, it is crucial for trial designers to carefully investigate trial settings prior to designing the trial. Utilizing trial documents…
Do viruses experience culture shock?
Viruses have the potential to cause enormous health, social, and economic burdens. These burdens are demonstrated by influenza viruses, which cause seasonal epidemics, and SARS-CoV-2 viruses, which caused the ongoing COVID-19 pandemic resulting in over 4.55 million deaths. Virus research and…
A COVID-19 Geospatial Population Health Risk Assessment for Missouri
Aim: Design and analyze a multifactor spatial database to assess COVID-19 risk across individual, community, social, infrastructure and culture contexts at the county level to provide quantitative insight and statistical support for potential mitigation areas. Methods: COVID-19 studies require vast…
SEE-Diabetes, a Patient-Centered Diabetes Self-Management Education and Support for Older Adults: Findings and Information Needs from Patients’ Perspectives
Objectives: This study seeks to understand the information needs of people with diabetes aged 65 and older gathered through survey and focus groups to inform development of an educational decision aid, SEE-Diabetes (Support-Engage-Empower-Diabetes). The SEE-Diabetes aid provides patient-centered self-management education and support for…
MUDSI PhD Student Caleb Grohmann Selected for the Future Leaders for Food and Agriculture (FFAR) Fellowship
Congratulations to second-year PhD student Caleb Grohmann, who was one of twenty-six doctoral students in the country to be selected for the Future Leaders for Food and Agriculture (FFAR) Fellowship. Caleb works under the direction of core faculty member Dr.
P3DB-4.0: a large-scale plant protein phosphorylation database from diverse species to phosphosite conservation
Since the last version (version 3) of the P3DB was published in 2014, we are very encouraged to see that more and more plant scientists have been using our database including reanalysis of our data collections. In this new version…
Predictive Models for Early Detection of Glaucoma using Electronic Health Records
Glaucoma is the second leading cause of irreversible blindness across the world. Around 70 million people have glaucoma, and 4.4 million people are blind due to undiagnosed glaucoma by optic nerve damage worldwide. Studies suggest that early detection of glaucoma…
Analysis of tumor associated macrophages’ heterogeneity in colorectal cancer patients using single-cell RNA-seq data
Colorectal cancer (CRC) is one of the deadliest malignancies worldwide. Though immune checkpoint inhibition has proven effective for a number of other tumors, it offers benefits in only a small group of CRC. In general, heterogenous cell groups in the…
EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR PATIENT STRATIFICATION AND DRUG REPOSITIONING
Enabling precision medicine requires developing robust patient stratification methods as well as drugs tailored to homogeneous subgroups of patients from a heterogeneous population. Developing de novo drugs is expensive and time consuming with an ultimately low FDA approval rate. These limitations make…