ITT 13

Partnered with Roche and Spectra Analytics


Key Information

Coordinators

Lead: Susie Douglas
Academic Lead: Matt Nunes & Tristan Pryer
Coordinator: Helena Lake
Operations Officer: Lindsay Melling


Timetable & Presentations

Key:     Roche       Spectra Analytics

Day Title Speaker
Monday Introduction to ITT13 Susie Douglas, Paul Milewski, Andreas Kyprianou
Portfolio Analysis and Planning Chris Harbron, Robbie Peck
Supporting Patients with Multiple Sclerosis: Using Advanced Modelling Techniques to Improve Therapies Marcus Ong
Tuesday Intelligent Data Processing: Using Natural Language Processing to automate data processing tasks Dan Sprague
Adaptive Clinical Trial Design Chris Harbron
Wednesday Probabilistic Modelling of Lesions Carmen van-de-l'Isle
Using Historical Data for Switching Patients Abby Barlow, Cecilie Andersen
Intelligent Data Processing: Two Stage Process - Modular Design Seb Scott
EEG Modelling of Lesions and Connections to MRI for Multiple Sclerosis Jenny Power
Game Theory / Bayesian Decision Optimisation Timothy Peters
Machine Learning for Determining Trial Success Sonny Medina Jiminez
Wholistic Mathematical Biology Model for Multiple Sclerosis Fraser Waters
Modelling Patient Progression Matthew Pawley
Introduction to Graphical Models for Text to SQL Translations Marcel Stozir
Friday Mathematical problems surrounding patient switching Abby Barlow, Cecilie Andersen
A Prototype Graphical Model for Text to SQL Translations Allen Paul, Marcel Stozir
Machine Learning for Determining Trial Success Sonny Medina Jiminez
Intelligent Data Processing: Two Stage Process - Modular Design Seb Scott
Wholistic Mathematical Biology Model for Multiple Sclerosis Andrei Sontag
Optimal Allocation of Funding in Clinical Trials Timothy Peters, Mehar Motala
Modelling Patient Progression Matthew Pawley, Chava Esquivel Calzada
Building a Probabilistic Model for the Appearance of Lesions in MS patients Carmen van-de-l'Isle
Exploiting EEG: Modelling and Data for Lesion Detection Jenny Power

Preparatory Material

Roche SLS Talk

Alun Bedding, Chris Harbron

Overview of Roche and ideas for the ITT challenges.


Statistics for Clinical Trials

Abigail Burdon

Testing for a treatment effect in Phase III trials. Adaptive and group sequential trial designs. Survival analysis (Cox PH model) and random effect models.


Inverse Problems

Silvia Gazzola

Discrete inverse problems, where they arise, and how to solve them.

Spectra Analytics SLS Talk

Marcus Ong

Overview of Spectra and ideas for the ITT challenges.


Methods for Inverse Problem of EEG

Shaerdan Shataer

Introduction to EEG forward and inverse problem. Challenges, methods (spectral methods, regularisation, BLASSO) and applications.