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…
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…
FatPlants: A Comprehensive Website Platform of Plant Fat Related Genes, Proteins and Metabolism
Increasing seed oil content by plant breeding has resulted in trade-offs or penalties with respect to protein content, seed size, or seed set. The molecular basis for this impasse is mostly speculative. Use of current global profiling approaches to better…
Enhancing Health Equity of Aging-in-Place Older Adults with Sustainable Technology: Current Projects and Considerations to Data Science
We discuss the importance of sustainable technology in promoting health equity among aging-in-place older adults. We identify three key considerations necessary for the sustainability of technology in the health field, and examine ongoing projects that align with these considerations, including…
Uncovering CD137 Agonist’s Role in Cancer Immunoprotection via Interactive Multiomics Data Analytics and Visualization Portal
Anti-CD137 monoclonal antibody has been developed to improve anti-cancer immunity in several cancer models and are in clinical trials. SA-4-1BBL, a novel CD137 receptor agonist, has shown cancer immunoprevention in several tumor models as a single agent, yet an agonistic…
A Semi-Supervised Approach to Unobtrusively Predict Abnormality in Breathing Patterns Using Hydraulic Bed Sensor Data in Older Adults Aging-in-place
Shortness of breath is often considered to be a repercussion of aging in older adults due, as such respiratory illnesses like COPD or respiratory illnesses due to heart-related issues are often misdiagnosed or under-diagnosed or ignored at early stages. Continuous…