Enhancing Single Cell RNA-seq Analysis and Annotation for Understanding the Impact of CD137 Agonist on Cancer Immunoprevention through Advanced Informatics Algorithms
SA-4-1BBL, a novel CD137 receptor agonist, has been generated by our group and selected as a promising candidate for preventing cancer progression in research. The SA-4-1BBL demonstrates notable immunoprevention efficacy in diverse tumor models when utilized as a treatment in…
Exploration of Geospatial Artificial Intelligence (AI) Using Remote Sensing to Discover Climate, Environment, and Anthropogenic Features Related to Population Health
Computational modeling of geospatial data can bring valuable insight into communicable diseases, noncommunicable diseases, and vector-borne diseases. However, each of these disease classes has its own challenges in terms of geospatial data analysis. Complex dynamics of environmental and social risk…
Data Science Innovation to Advance Journalism
COLUMBIA, Mo. (July 24, 2023) — Damon Kiesow is now the Knight Chair in Journalism Innovation at the Missouri School of Journalism, an update from his previous title of Knight Chair in Digital Editing and Producing. The new title reflects…
Productive Summer Curriculum Retreat at the MU Institute for Data Science and Informatics
The faculty members at the MU Institute for Data Science and Informatics recently concluded a highly successful curriculum retreat this summer. The primary focus of the retreat was to meticulously review the curriculum, spanning from bootcamps to capstone projects, with…
Deer spread COVID to humans multiple times, new research suggests
Americans have transmitted COVID-19 to wild deer hundreds of times, an analysis of thousands of samples collected from the animals suggests, and people have also caught and spread mutated variants from deer at least three times. The analysis published Monday stems from…
Exploring the Role of social media in Health Information Dissemination: A Focus on Vaccine Equity and Health Insurance
Social media has increasingly become a popular platform for sharing and seeking health information. However, the credibility and usefulness of this information are often questionable. The overall goal of my research program is to provide a comprehensive evaluation of chronic…
Tool Development for Resolving and Visualizing Heartbeats Measured by Cardiac Magnetic Resonance
Atrial fibrillation (AFib) is the most common irregularity of heartbeats. It can cause significant symptoms and impair heart function. Its irregular and often very rapid heart rhythm can lead to blood clots that cause stroke or heart attack, especially as…
Utilizing Real-World EHR Data: Early Predictive and Prescriptive Analysis for Glaucoma Using Machine Learning Methods
Electronic health records (EHRs) have emerged as a crucial source of data for data-driven translational clinical research. Meanwhile, machine learning (ML) models have advanced rapidly and are now a potent tool for analyzing EHR data, allowing us to harness a…
Development of AI Models for Remote Sensing City Livability Fitness
Tracking a city’s livability fitness is particularly important for the continued urbanization of civilization. Urban environmental and air quality and overall fitness are decreasing due to natural and anthropogenic events, causing degradation of living quality and leading to various population…