24th October 2019
Data Visualisation in Clinical Research
The Cincinnati SDE was hosted by Medpace on 24th October. Jeff Vest (Medpace) and Michael Rimler (GlaxoSmithKline) were the SDE Chairs. The theme for the SDE was “Data Visualisation in Clinical Research”.
The relatively small number of registrants created an intimate environment which facilitated a lot of discussions on each topic. The day started with Eric Herbel (Integrated Clinical Systems) providing an overview of results from a PHUSE Working Group project survey related to important characteristics when visualising subject-level data. Harish Joshi walked us through an application of Spotfire that Medpace uses to review clinical data during ongoing trials. Qais Hatim (FDA) then joined us remotely to discuss his work using machine learning techniques to predict drug-drug interaction effects, followed by Tom Kalfas (GenInvo) engaging the delegates on the merits of graph databases for clinical research.
After lunch, Chris Hurley gave an update on ongoing and upcoming PHUSE happenings. This was followed by our final three speakers: Jeff Mills (University of Cincinnati) on the Julia programming language, Bhavin Busa (Vita Data Sciences) on interactive TFLs, and Richard Bryant (MMS) on the grammar of graphics.
Overall, the event was excellent and rewarding. The smaller SDE size yielded a lot of back-and-forth discussions amongst the delegates, as well as valuable opportunities to connect with peers from across organisations. This would not have been possible without our terrific presenters, volunteers, sponsors and delegates.
Visualising Subject-level Data in Clinical Trial Data – Survey Results – Eric Herbel, Integrated Clinical Systems
Utilising Spotfire for Centralised Data Review and Surveillance – Harish Joshi, Medpace
Using Systems Pharmacology Approach to Determine Potential Pharmacodynamic Drug-Drug Interactions that may Cause Hepatotoxicity – Qais Hatim, FDA
The Interactive Visualisation – A Brand-new Way of Visualising Your Data Using GraphDB – Thomas Kalfas, GenInvo
Probabilistic Biostatistics with Julia: Visualising Findings from Randomised Controlled Trials – Jeff Mills, University of Cincinnati
Interactive TFLs – A Smarter Way to Review Your Statistical Outputs – Bhavin Busa, Vita Data Sciences
How to Utilise the Grammar of Graphics to Plot Your Data – Richard Bryant, MMS
View the event brochure.
Photos of the day:
Eric Herbel, Integrated Clinical Systems, discussed visualising subject-level data in clinical trials and gathered feedback from the audience for the PHUSE Data Visualisation Working Group,
Harish Joshi, Medpace, discussed centralised data review and surveillance at the SDE.
Michael Rimler, SDE Chair, introuded the web-based presentation by Qias Hatim, FDA.
Tom Kalfas, GenInvo, explored graphed databases.
Chris, PHUSE Americas Director, and the SDE Chairs taking a selfie during the networking brreak.
Jeff Mills, University of Cincinnati, talked about probabillistic biostatistics using the Julia programming language to visualise findings from randomised controlled trials.
Bhavin Busa, Vita Data Sciences, discussed the use of visualisation and interactive review of TLFs.
Richard Bryant, MMS, talked about a 'Grammar of Graphics'.
The day concluded with an interesting panel discussion with five data visualisation subject matter experts.