Introduction

An event series for Turing-Roche partnership updates, knowledge sharing and new perspectives. Find out more about the series.

This event will be exploring the topic of predictive modelling in healthcare- how this branch of advanced analytics can potentially predict and help improve patient outcomes and beyond.

About the event

We'll be hearing from four speakers:

Dr Jasmina Bogojeska, Senior Principal Data Scientist at Roche Diagnostics – will be talking about Navify Kidney Companion, which focuses on the challenging problem of early detection of Chronic Kidney Disease patients with fast progression to end stage renal disease (ESRD). The tool allows for timely intervention and thus has the potential to delay or even prevent the development of ESRD.

Dr Matthew Sperrin, Senior Lecturer in Health Data Science at the University of Manchester – will be talking about the role of causal inference in predictive modelling

Dr Elif Ozkirimli, Head of Data Science and Advanced Analytics – Pharma International Data and Analytics Chapter at Roche- will be talking about using real world data for cardiac safety modeling

Dr Brieuc Lehmann, Assistant Professor at University College London (UCL) – will be talking to us about improving local prevalence estimates of SARS-CoV-2 infections using a casual debiasing framework.

As well as having a Q&A at the event, we hope to have discussions about this area pre and post the event via our Turing-Roche Slack Workspace.

Watch now

You can watch a recording of this event here

Speakers

Dr Elif Ozkirimli

Head of Data Science and Advanced Analytics - Pharma International Data and Analytics Chapter at Roche

Dr Brieuc Lehmann

Assistant Professor (University College London) and member of the Turing-RSS Lab

Organisers