Linked Data for Clinical Trials: An Interactive Hands-on Workshop

TIM WILLIAMS, UCB
JOHANNES ULANDER, S-Cubed

Background synopsis

Linked Data has the potential to solve many of the challenges currently facing the pharmaceutical industry. A new approach is needed where we model clinical trial processes and data using highly interconnected, extensible data with precise meaning (semantics).  

Objectives

• Participants will use a web application to diagram relationships for clinical trial processes and data, then convert your white board drawing to Linked Data as Resource Description Framework (RDF)

• Query the data, using an ontology to infer values and relationships not in your original content

• Seamlessly merge your study with data from all of the other attendees

Target Participants

• This introductory workshop provides the background you need to launch your own exploration of this technology or participate in a PhUSE project

• No previous experience is required

Machine Learning for Humans

MELANIE HENSELER &
EIKE NICKLAS, 
HMS Analytical Software

Objectives

• To provide participants with a brief and informal overview of machine learning concepts

• Enable participants using a prepared example of machine learning modelling to extend or modify the example analysis provided at their own pace to deepen their understanding

• Complete exercises using the different machine learning concepts including feature engineering, model training and model assessment

• Facilitate individual discussions with the presence of multiple trainers

Target Participants

• Previous knowledge of machine learning or the R language is not required

• This workshop is suitable for beginners and advanced learners

Tables Listings and Figures with R

SAMEER BAMNOTE,
HANMANT PATIL 
&
TEJASWEENI RAJPUT, Cytel

Objectives

• Hands-on experience in R programming

• End-to-end development of a Table, Listing and Figure in R

Target Participants

• Individuals with a programming background interested in learning TFL generation using R

• Programmers and biometrics professionals interested in learning new skills

• Technical leads and managers who wish to explore ways of re-skilling their teams

CDISC Workshop

PETER VAN REUSEL &
AMY PALMER, CDISC

This workshop is an extension of the existing PhUSE ‘SDTM ADaM FAQ’ Working Group. 

Objective

• This workshop will start with providing the attendees with an overview of what is new at CDISC

• Building on the work of the PhUSE “SDTM ADaM FAQ” Working Group and the implementation topics

• Overview of SDTM-ADaM Implementation Group activities and best practices

• Identifying the next steps

Target Participants

• Existing Working Group participants

• Any members wishing to find out more information or be involved within the project

PhUSE Working Group Discussion Club

CHRIS DECKER, d-Wise &
CHRIS PRICE, PhUSE Working Group Directors

Objectives

• Help regulatory agencies define collaboration 2.0

• What Priorities should Regulators Collaborate on with industry and other regulatory agencies?

Target Participants

• Participants wanting to identify how PhUSE collaborations and/or other collaborations have delivered value for regulatory agencies and subsequent benefits

• Those wanting to minimise/eradicate roadblocks to ensure collaborations are optimised.