Precision Medicine Clinical Trials
Precision medicine is about going beyond assessing whether a new treatment works on average to predicting which subgroups of patients receive benefit and to what extent. When subgroups, often defined by biomarkers, genetic, phenotypic or psychosocial characteristics, are associated with a treatment’s efficacy or toxicity, precision medicine offers substantial advantages to patients, trial sponsors, and the wider healthcare system. However, a barrier to realising the promise of precision medicine is the inappropriate use of traditional clinical trial design and analysis, which rely on estimates of population-averaged effects.
In this course we introduce the concept of precision medicine and cover innovative approaches. This includes novel designs (biomarker-guided, basket, umbrella, adaptive signature, adaptive enrichment designs and Sequential Multiple Assignment Randomized Trials) as well as efficient analysis approaches (e.g. Bayesian hierarchical modelling, identifying patient subgroups using high-dimensional genetic data) to help estimate sub-group specific treatment effects. These approaches have all been developed to improve the power, quality of information, and patient benefit provided by clinical trials. Examples from a wide variety of therapeutic areas will be discussed, with implementation in R software. Perspectives will be given on the future development of design, conduct and analysis of clinical trials in the field.
Course Information
Precision medicine is about going beyond assessing whether a new treatment works on average to predicting which subgroups of patients receive benefit and to what extent. When subgroups, often defined by biomarkers, genetic, phenotypic or psychosocial characteristics, are associated with a treatment’s efficacy or toxicity, precision medicine offers substantial advantages to patients, trial sponsors, and the wider healthcare system. However, a barrier to realising the promise of precision medicine is the inappropriate use of traditional clinical trial design and analysis, which rely on estimates of population-averaged effects.
In this course we introduce the concept of precision medicine and cover innovative approaches. This includes novel designs (biomarker-guided, basket, umbrella, adaptive signature, adaptive enrichment designs and Sequential Multiple Assignment Randomized Trials) as well as efficient analysis approaches (e.g. Bayesian hierarchical modelling, identifying patient subgroups using high-dimensional genetic data) to help estimate sub-group specific treatment effects. These approaches have all been developed to improve the power, quality of information, and patient benefit provided by clinical trials. Examples from a wide variety of therapeutic areas will be discussed, with implementation in R software. Perspectives will be given on the future development of design, conduct and analysis of clinical trials in the field.
If you work in the Public Sector, use code "CTPubSec2024" for a reduced price.
If you are a student, use code "CTStudent2024" for a reduced price.
For more information on this course, please contact llahub@newcastle.ac.uk or enquire here
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Course Dates
Course Start Date: Monday, November 18, 2024 8:00 AM
Course End Date : Tuesday, November 19, 2024 7:00 PM
Enrolment Dates
Enrolment Start Date: Tuesday, January 16, 2024 8:00 AM
Enrolment End Date : Thursday, November 14, 2024 10:00 PM
Course Location
Newcastle University
Course Tutor/s
Course Delivery Type
Face to Face 
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Price per attendee is £640.00 (zero VAT)