Extension of the informatics framework for the structurization of free text diagnostic reports

In this seminar presentation, we will briefly discuss our recent project to extend our informatics pipeline for the structurization of free-text diagnostic reports with an information theory-based approach. We will focus on the steps of this approach that are for…

Analysis of Curated Toll-Like-Receptor Co-expression Network Reveals associations among RNAseq Expression and Immune system modulation in patients with Colorectal Cancer

This project is concerned with improving immune system capabilities in the context of immunotherapy for colorectal cancer treatments.  Immunotherapies called checkpoint inhibitors are monoclonal antibody treatments that have been proven to be effective in small percentages of sample populations, especially…

Addressing Challenges of Deep Learning for Post-Disaster Damage Classification

The effectiveness of natural disaster response functions has increasingly relied on information extracted from remotely-sensed imagery – particularly for the time-critical and often large-scale task of assessing post-disaster damage to the built environment. Despite a recent push to operationalize deep…

Using Geospatial Context: Facilitating Geospatial Analysis in Research

This presentation will briefly review the Geospatial Context Big Table status and its current evolution.  Then the presentation turns to two projects that have used or are using geospatial context in the analysis and visualization of their results.  The first…

Applying Blockchain Technology to Enhance Clinical Trial Recruitment

Patient recruitment for clinical trials is known to be a challenging aspect of clinical research. There are multiple competing concerns from the sponsor, patient and principal investigator’s perspectives resulting in most clinical trials not meeting recruitment requirements on time. Conducting…

Discovery of Homogeneous Subgroups from Heterogeneous Populations for Precision Health – A Deep Exploratory Mining and X2AI Approach

Today, six of the top ten highest-grossing drugs in the US are effective in less than 10% of patients and even the most effective drugs from that list have positive responses in only 25% of patients. This “imprecision medicine” practice…

Using Predictive Analytics to Improve Surveillance of Heat-Related Illnesses During Military Training

Heat-related illnesses are important occupational risks in military personnel, especially for soldiers who do not have experience with hot climate regions. Our study focuses on predictive analysis of heat-related illnesses to improve prevention program. The Royal Thai Army (RTA) Medical…

Uncovering complex relationships in biomedical data through hierarchical logic pattern contrast mining

Understanding the relationships which exist between features in medical data ranging from electronic health records to genetic variations in sequenced genomes is key to understanding how these features impact the medical condition of an individual. Existing pattern mining methods are…

Linking EMR and Exposome Data for Risk Prediction and Interventions: A Translational Approach

Precision medicine (PM) is a medical model that proposes the customization of healthcare, with medical decisions, treatments, practices, or products being tailored to the individual patient.  An individual’s “Social Determinants of Health” (SDOH) have been demonstrated as a key factor in obtaining successful clinical…