PHUSE/FDA Data Science Innovation Challenge


About

The PHUSE/FDA Data Science Innovation Challenge provides a framework and an opportunity for the greatest minds in the data sciences arena to come together and collaborate intensively on projects, doing so to a defined time frame to create usable scripting that results in a functional approach to answer the scientific questions posed by a number of challenges. 

Innovation Challenge 2020 includes the following challenges:

  • Opioid/Substance Use Disorder
  • Drug Safety Surveillance
  • An Approach for Predicting Drug Interactions

 

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Innovation Challenge Welcome Video

Dr.Woodcock,
Director of the Center for Drug Evaluation and Research (CDER) at the Food and Drug Administration (FDA)


Innovation Fridays

The first Innovation Challenge was due to be held at the US Connect in Orlando in March. Given the excellent response and enthusiasm shown, PHUSE and FDA decided to embrace the energy and progress of the challenge and held the Data Science Innovation Challenge 2020 virtually through a series of 'Innovation Fridays' 

Innovation Friday Recordings

You can view all of the recorded presentations below that Innovation Friday's hosted, or access the full playlist here

IC30 – Mosaic Portrait of a Persona – Collecting Topic-specific Social Media Data of the Target Population to Piece Together a Personal of Pregnant Women and the Link to Opioid Usage 

IC14 – Real-world Evidence Drug-Drug Interaction (REDDI) Match

IC07 – Predicting Drug Interactions Using Machine Learning and Data Visualization

IC08 – Datacise Integrated Safety Explorer

IC09 – PRAView

IC15 ­– DASH to AEs

IC18 – Prediction of Drug-Drug Interactions (DDI) with Artificial Intelligence

IC19 – DeepFAERS: AI for Pharmacovigilance by Diving Deep into FAERS

IC21 – Deep Dissection of Post-market Surveillance Signal

IC25 – Counterfeit Drug Detection

IC26 – Approaches in Categorizing and Predicting Drug-Drug Interactions Using Artificial Intelligence and SAS Visual Text Analytics

IC31 – Early Safety Signal Detection from Public Internet Sources

IC12 – Prediction of Drug Interactions with Real-world Data




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