The Turing's health and medical sciences programme has long-term interests in personalised healthcare and treatment heterogeneity – the analysis of how medical treatments can affect different people in different ways. The programme is seeking to generate insights which improve the understanding of patient and disease heterogeneity and its relevance to clinical outcomes.
The goal of this partnership is to establish a world-leading collaboration in advanced analytics between Roche and the Turing, focused on enabling the transformative benefits of personalised healthcare to become a reality for patients around the world. Publication of methods and algorithms will follow the principles of open science to ensure that they are reproducible and interoperable.
This expanded strategic partnership was launched following a successful Data Study Group at the Turing in April 2019, and a 12-week research project later the same year, explored in the case study Turing and Roche: Towards tailor-made lung cancer treatment.
More information on the partnership can be found in this short video from our event hosted in July 2021.
The Turing-Roche partnership is running for five years and will cover multiple activities with the 'North Star' of developing new data science methods to investigate large, complex, clinical and healthcare datasets to better understand how and why patients respond differently to treatment, and how treatment can be improved. Current partnership projects are listed below.
Structured missingness in heterogeneous data
Missing data are a common problem that arise in many fields and can significantly complicate analysis. While there are established ways to handle data that is missing at random, it is often the case that missing readings are structured in some way. Dealing with such structured missingness is substantially more challenging yet occurs commonly in healthcare (and other) contexts. Consequently, there is a need to develop rigorous ways to understand structured missingness and develop tools to handle it appropriately.
In November 2021 we ran a series of virtual workshops on the topic of structured missingness, with the aim of convening a community of researchers interested in developing new tools and methods, to learn from heterogenous data with structured patterns of missing readings. You can read more about the workshops in the report in the downloads section below. We ran a funding call to complement the workshops and fund projects in this area. We will be announcing the successful projects here shortly.
We also have published an article on the partnership and this area of research on Genomics England's site Mind the Gap: Stories of Health Data Equity. The site publishes stories on different ideas, initiatives and perspectives to showcase the challenges of data diversity. You can check out our piece about the partnership and missing data written by Dr Alisha Davies, Dr Robin Mitra and Vicky Hellon here.
Furthermore, the partnership are working on a review paper to frame grand challenges in structured missingness. We will link here when the paper is published.
Knowledge Share Series
We've launched a new Knowledge Share Series aiming to bring together members of both Roche and Turing's networks and beyond to showcase partnership updates and research, knowledge share and hear different academic and industry perspectives to gain insight and help build new connections and collaborations. You can find out more and sign up to our monthly events here.
Sign up to The Alan Turing Institute-Roche strategic partnership mailing list to receive regular updates from the strategic partnership team and community. Mailings include information about Turing-Roche projects and opportunities, jobs, events and funding calls from both The Alan Turing Institute and Roche.
Turing-Roche Slack Workspace
Join our Slack Workspace to connect with the partnership team and the wider community.
Researchers and collaborators