AI and Data Science in Multi-Omics for Human Health Workshop

27th - 28th July 2023

9.30am

AI and Data Science in Multi-Omics for Human Health Workshop

27th - 28th July 2023

Join us for a two-day networking workshop to find out more about ongoing progress, open opportunities, and challenges pertinent to AI Biomedicine and data science approach in multi-omics for human diseases.

Hybrid - join us in-person or online

This event is hybrid - delegates have the option to attend in-person or online. The online meeting links will be sent automatically after registration.

Introduction

Biomedical AI and data science approaches applied to data from multi-omics, the electronic health record, patient-generated sources, and biomedical imaging have enabled remarkable advances toward biomarker discovery, health care delivery, preventing diseases, medical decision-making, diagnosis, therapy, understanding of patients from molecular to population levels, and ultimately population health. Next-generation machine learning and approaches including Bayesian and diffusion models, transformers, and generative pre-trained algorithms have increasingly been applied to tackle and address critical human diseases and health challenges. These approaches in biomedical AI and data science are opening several opportunities and challenges of which there are unmet needs to discuss, dissect progress, and enhance interdisciplinary networks in order to advance the field.

About the event

This workshop brings together researchers and professionals who leverage AI and data science in biomedical, omics, clinical, bio-industries, and computer sciences sectors to discuss and dissect advances made in the field. The workshop will cover a variety of topics ranging from methodological and theory to the application of AI and data science in biomedical, multi-omics, clinical as well as industrial applications. While this workshop is enriched with several case studies, it critically includes multi-disciplinary and diverse talks from established and early-career researchers, clinicians, and expert professionals and from bio-industries in the field

This workshop is part of Northumbria University's Turing Network Funding and is supported by The Alan Turing Institute.

Please register early as places are limited. Lunch, refreshments and networking opportunities will be provided during the event.

For any queries about this workshop, please contact Emile Rugamika Chimusa (emile.chimusa@northumbria.ac.uk)

Speakers and Schedule

Thursday 27 July
09:30 - 10:30	Registration, coffee and networking
10:30 - 10:35	Welcome and introduction Professor Emile R Chimusa and Lindsay Connolly, Northumbria University
Chair: Professor Emile R Chimusa, Northumbria University
10:35 - 11:05	Machine learning approaches for understanding inter-patient heterogeneity in breast cancer Dr. Syed Haider, The Institute of Cancer Research
11:05 - 11:35	ML classifier to diagnose pulmonary hypertension using blood miRNA measures Dr Niamh Errington, Imperial College London
11:35 - 12:00	The use of Raman spectroscopy for the study of transporter proteins Dr Dominic Gilchrist, Teesside University
12:00 - 13:00	Lunch and networking
Chair: Dr Yingke Chen, Northumbria University
13:00 - 13:25	Machine learning applications to drug response prediction in cancer cell lines using multi-omic profiles Dr. Fatemeh Ahmadi Moughari, The Institute of Cancer Research, London
13:25 - 13:45	Using multi-omic approaches to reconstruct the human gut microbiome Dr Sarah Forrester, University of York
13:45 - 13:55	Explainable colon cancer stages prediction with multimodal biodata through attention-based Deep Neural Network Olalekan Ogundipe, Northumbria University
13:55- 14:10	Molecular epidemiology of antibiotic resistance in global clone 2 of Acinetobacter baumannii Varsha Varghese and Mithun Uday Gokul, Teesside University
14:10 - 14:40‎	Break and networking
Chairs: Dr Yingke Chen and Dr Danny Arends, Northumbria University
14:40 - 15:10	Data Science of Healthy Ageing Professor Dennis Wang (Online), Imperial College London
15:10 - 15:40	Explainable AI and its application to biological and biomedical data Professor Jaume Bacardit, Newcastle University
15:40 - 16:10	A strategic approach of AI and multi-omics for cancer research and cancer treatment Dr. Thierry Michaux, B-B-E consultant
16:10 - 16:40	Prediction of cancer patients' survival based on their genomic copy number alterations Dr. Arief Gusnanto, ‎University of Leeds
16:40 - 17:00	Concluding remarks Professor Emile R Chimusa and Lindsay Connolly, Northumbria University
Friday 28 July
09:30 - 10:00	Registration, coffee and networking
10:00 - 10:20	Welcome and introduction Professor Emile R. Chimusa, Northumbria University
Chair: Professor Emile R. Chimusa, Northumbria University
10:20 - 10:50	A Bayesian network approach incorporating imputation of missing data enables exploratory analysis of complex causal biological relationships Professor Heather Cordell, Newcastle University ‎
10:50 - 11:‎20	Clinical informatics and AI innovation within healthcare Dr Justin Green, Northumbria Healthcare NHS Foundation
11:20 - 11:‎35	Student Mental Health Profiling for targeted and personalised interventions Dr Carly Foster (online), Northumbria University, London Campus
11:35 - 12:00	AI’s latest achievements in the diagnosis of neurodegenerative diseases Dr Nitsa Herzog, Northumbria University, London Campus
12:00 - 13:00	Lunch and networking
Professor Emile R. Chimusa and Dr Danny Arends, Northumbria University
13:00 - 13:30	Antimicrobial resistance: The threat from the pink corner Dr Bruno Silvester Lopes, Teesside University
13:30 - 14:00	Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications Dr Ken Suzuki, University of Manchester
14:00 - 14:30	Leveraging fractal folding properties of brains for cortical morphometry Dr Karoline Leiberg, University of Newcastle
14:30 - 15:00‎	Break and networking
Chair: Dr Yingke Chen, Northumbria University
15:00 - 15:30	Dissecting challenges in genomics risk assessment Professor Emile R Chimusa, Northumbria University
15:30 - 15:45	AI-Enabled Human Activity Recognition Using Doppler Sensing for E-Healthcare Dr Yordanka Karayaneva (online), Teesside University
15:45 - 16:15	Genetic modulation of lifespan and post-reproductive longevity in heterogeneous mice Dr Danny Arends, Northumbria University
16:15 - 16:20	Concluding remarks Professor Emile R. Chimusa, Northumbria University
16:30 onwards	Post-event - informal drinks (networking) Local venue tbc

Event information

The event is free to attend
Registrants will receive event communications via direct email and the Turing email group.

Dates/times

Thursday 27th July 09:30-17:00 | Friday 28th July 09:30-16:30

Venue information

If you attending in-person, please join us in the 4th Floor Hub, Business and Law Building, University of Northumbria, Falconar Street, Newcastle-upon-Tyne, NE2 1UY
City Campus Map (building number 5) | AccessAble Guide (Business and Law Building) | Google map location | What3Words location
Walking route (Newcastle Central Station - Gray's Monument - Northumberland Street - Northumbria University Footbridge - Business and Law Building, 22 minutes).
Parking: the nearest pay and display parking is Falconar Street, Newcastle-upon-Tyne, NE2 1UY. View all car parking options.

Online attendance

The online meeting links will be emailed to registrants 24-48 hours before the event start date. Some sessions may be recorded.

Event Registration Form

The event is free to attend. Please register below to confirm your place. If you are attending online, the meeting links will be sent automatically after registration.

Event Details

27th - 28th July 2023

9.30am

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