Coding for drug overdose

Scripts for analyzing and visualizing research data

Opioid Risk Prediction System

Spatially-varying Age-Period-Cohort model with left-censoring. Companion paper in Biostatistics (2019) (https://doi.org/10.1093/biostatistics/kxz009).

The Opioid Drug Ontology (ODO) – is an integrated and FAIR knowledgebase that is currently under development. The ODO is aimed at accelerating and improving the success of translational research, and drug discovery programs towards the identification of efficacious and safe opioid pain therapeutics.

http://beltmag.com/opioids-kids/

OCS: Visualize the opioid prescription use in Medicare Part D across States

Mpower helps individuals recover from drug abuse using a comprehensive set of resources

DeepPill Ai for Accessibility - Android app and back-end image recognizer to identify speckled pills and announce information

Opioids in Tennessee

Regis University Practicum II Project Repository

We are creating ecosystem application that would give us insights into the root cause of the problem and help us find innovative ways to fight this evil crisis. This collaborative approach inspires all stakeholders to act as a single, integrated community and point the way toward powerful new solutions.

Prediction of naloxone dose in opioids toxicity based on machine learning techniques

tracking polymerization processes across a membrane through TIRF experiment data

Causal diagram (DAG) for identifying potential confounders in analyses of ADF opioid prescribing on overdose mortality.

Wrap-around to the Opioid Industry Document Archive API