The Multi-modal Data Integration with Biomedical Applications sandpit is a 1 day event, scheduled to take place from 10.00 to 16.00 on Thursday 21st April.

This is an online event

We are hosting a sandpit to stimulate new Biomedical/AI collaborative activity, focused on Multi-modal data integration with biomedical applications.

Kinds of data that can be combined may include (but will not be limited to) imaging, textual and omics (incl. single-cell, spatial and multi-omics) datasets.

The morning session will feature invited speakers and lightening talks from attendees.

In the afternoon session, participants will explore the application of statistical and machine learning approaches to biomedical data integration and develop proposals.

Following the event our review panel will award funding for a number of projects.

Programme

10.00 Morning Welcome

10.05 Speaker 1 - Prof. Harri Lähdesmäki - Aalto University

Deep generative modelling: multi-modal, longitudinal and missing data

10.35 Lightening talks session 1

11.20 Break

11.30 Speaker 2 Dr Carl Ek – University of Cambridge

Latent Variable Models for Multi-modal data

12.00 Lightening talks session 2

1.00 Lunch break

1.30 Afternoon Welcome

1.35 Sandpit Session 1

2.35 Break

2.45 Sandpit Session 2

3.45 Next steps for application

4.00 Close

A total pot of £80k is available for projects up to a maximum of 6 month in duration.

Proposals must be submitted by 5th May and projects must be completed by the end of 2022.

Please note that due to the nature of this funding, each funded project must be led by a researcher from the University of Manchester.

*We have now received the maximum number of lightening talks we can accommodate, if you you wish to apply now, you will be placed on waiting list.*

Lightening talks must be no more than 4 mins and 4 slides with no video content. If you wish to give a lightening talk please tick the box when registering for the event.

Wellcome Institutional Strategic Support Fund

The University’s Wellcome Institutional Strategic Support Fund (Wellcome ISSF) supports a portfolio of biomedical research activities that harmonises with our research strategy.

Institute for Data Science and Artificial Intelligence

Manchester's Institute for Data Science & Artificial Intelligence acts as an access point to the University’s expertise in data science and artificial intelligence, facilitates interactions between researchers and problem holders, owns the University’s data science strategy, and will deliver sustainable support for the community.

Digital Futures

Digital Futures is a highly interdisciplinary network which operates across the whole range of the University’s digital research. To find out more about activity in Digital Futures, sign up to the Digital Futures newsletter here.