PHUSE/FDA Data Science Innovation Challenge
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
Innovation Challenge Welcome Video
Director of the Center for Drug Evaluation and Research (CDER) at the Food and Drug Administration (FDA)
(Click the image to play)
The first Innovation Challenge was due to be held at the US Connect in Orlando in March. We are pleased to announce the virtualisation of the PHUSE/FDA Data Science Innovation Challenge 2020, which will be available to all!
Given the excellent response and the enthusiasm shown, we have decided to embrace the energy and progress with a new initiative: Innovation Friday. Every Friday* there will be a short webinar to allow people to come together and discuss future digital solutions to healthcare problems.
*Subject to global public holidays
Friday 22nd May: 09:00 EDT
|Predicting Drug Interactions
||Prediction of Drug Interactions with Real-World Data
||James Kim, Pfizer
Previous Innovation Friday Recordings
Take a look below at all of the presentations that Innovation Friday's has hosted so far, and the recordings to view these.
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