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

Innovation Challenge Welcome Video

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

 


(Click the image to play)


Innovation Fridays

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

Upcoming Schedule

Friday 22nd May: 09:00 EDT

join now

Challenge

Title

Lead

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





Thinking of joining PHUSE?

Already a member but not sure how you can benefit?

PHUSE is an expanding, global society with a global membership of clinical data scientists. It requires a large pool of resources to help with its running, and so there are many opportunities for members to become involved. Whether it's chairing a conference, presenting at an event, leading a working group or contributing to the quarterly online newsletter, we are always keen to hear from volunteers.

Find Out More