Identifying Patient-specific Flow of Signal Transduction Perturbed by Multiple Single-nucleotide Alterations
Background: Identifying patient-specific flow of signal transduction perturbed by multiple single-nucleotide alterations is critical for improving patient outcomes in cancer cases. However, accurate estimation of mutational effects at the pathway level for such patients remains an open problem. While probabilistic pathway…
Analysis of Healthy Coping Feedback Messages from Diabetes Mobile Apps
To analyze Healthy Coping-related feedback messages from diabetes mobile apps against the theoretical framework based on behavioral change theories. We searched apps using the search terms: “diabetes,” “blood sugar,” “glucose,” and “mood” from iTunes and Google Play stores. We entered…
Data-Driven Patients Stratification and Drug Repositioning
Cancer is a heterogeneous disease and represents a great example of the need for selecting patient-centric rather than disease-centric treatment. De novo drug discovery is a time-consuming and high-cost process with a low success rate. Drug repositioning (DR) reduces the…
Data Analytics Using the Cerner Real-world COVID-19 Data to Answer Clinical Questions
Cerner Real World data allows researchers and data scientists to explore clinical data via HealtheDataLab. Recently, Cerner granted many of their client institutions access to de-identified patient’s data for COVID-19 research to help fight the pandemic. The de-identified patient data…
Improving interpretation of Genome-Wide Association Studies (GWAS) by quantifying Marker Recurrence
To understand biological differences within groups of people or animals, we often turn to DNA. A genome-wide association study (GWAS) can assess the genetic contribution of biological differences between individuals. However, the scale of input data continues to expand in…
Implementing GeoARK: The Geospatial Analytical Research Knowledgebase
This research focuses on the development and implementation of an interface to the Geospatial Analytical Research Knowledgebase (GeoARK), a spatially enabled big data informatics approach assembled around applications in health research and analytics. Example applications in telehealth reach, COVID-19 risk…
An R-based platform for the visualization and analysis of single molecule tracking experiments
Single molecule tracking (SMT) is a technique of single-molecule fluorescence imaging that allows for the exploration of molecular motion at a high spatiotemporal resolution on living cells. This is widely used to define dynamics of individual tumor cell-surface receptors. Spatiotemporal…
Cancer Research Funding: Where is the Money?
Cancer is one of the most common and deadly diseases and its incidence is increasing. There are over one hundred types of cancer and they have a varied impact on society and those affected. Some have known, preventable causes and…
Quantifying the Predictive Value of Categories of Neighborhood-Level Risk Factors to Predict Health Outcomes
A person’s environmental context is well known to impact health outcomes. However, this information is rarely available in an acute clinical care setting. Although a growing body of literature combines the information available in the Electronic Medical Record (EMR) with…